| Line | Branch | Exec | Source |
|---|---|---|---|
| 1 | /* | ||
| 2 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | ||
| 3 | SLEPc - Scalable Library for Eigenvalue Problem Computations | ||
| 4 | Copyright (c) 2002-, Universitat Politecnica de Valencia, Spain | ||
| 5 | |||
| 6 | This file is part of SLEPc. | ||
| 7 | SLEPc is distributed under a 2-clause BSD license (see LICENSE). | ||
| 8 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | ||
| 9 | */ | ||
| 10 | /* | ||
| 11 | This file implements a wrapper to eigensolvers in EVSL. | ||
| 12 | */ | ||
| 13 | |||
| 14 | #include <slepc/private/epsimpl.h> /*I "slepceps.h" I*/ | ||
| 15 | #include <evsl.h> | ||
| 16 | |||
| 17 | #define PetscCallEVSL(func, ...) do { \ | ||
| 18 | PetscStackPushExternal(PetscStringize(func)); \ | ||
| 19 | int evsl_ierr_ = func(__VA_ARGS__); \ | ||
| 20 | PetscStackPop; \ | ||
| 21 | PetscCheck(!evsl_ierr_,PETSC_COMM_SELF,PETSC_ERR_LIB,"Error calling %s: error code %d",PetscStringize(func(__VA_ARGS__)),evsl_ierr_); \ | ||
| 22 | } while (0) | ||
| 23 | |||
| 24 | typedef struct { | ||
| 25 | PetscBool initialized; | ||
| 26 | Mat A; /* problem matrix */ | ||
| 27 | Vec x,y; /* auxiliary vectors */ | ||
| 28 | PetscReal *sli; /* slice bounds */ | ||
| 29 | PetscInt nev; /* approximate number of wanted eigenvalues in each slice */ | ||
| 30 | PetscLayout map; /* used to distribute slices among MPI processes */ | ||
| 31 | PetscBool estimrange; /* the filter range was not set by the user */ | ||
| 32 | /* user parameters */ | ||
| 33 | PetscInt nslices; /* number of slices */ | ||
| 34 | PetscReal lmin,lmax; /* numerical range (min and max eigenvalue) */ | ||
| 35 | EPSEVSLDOSMethod dos; /* DOS method, either KPM or Lanczos */ | ||
| 36 | PetscInt nvec; /* number of sample vectors used for DOS */ | ||
| 37 | PetscInt deg; /* polynomial degree used for DOS (KPM only) */ | ||
| 38 | PetscInt steps; /* number of Lanczos steps used for DOS (Lanczos only) */ | ||
| 39 | PetscInt npoints; /* number of sample points used for DOS (Lanczos only) */ | ||
| 40 | PetscInt max_deg; /* maximum degree allowed for the polynomial */ | ||
| 41 | PetscReal thresh; /* threshold for accepting polynomial */ | ||
| 42 | EPSEVSLDamping damping; /* type of damping (for polynomial and for DOS-KPM) */ | ||
| 43 | } EPS_EVSL; | ||
| 44 | |||
| 45 | 1499626 | static void AMatvec_EVSL(double *xa,double *ya,void *data) | |
| 46 | { | ||
| 47 | 1499626 | EPS_EVSL *ctx = (EPS_EVSL*)data; | |
| 48 | 1499626 | Vec x = ctx->x,y = ctx->y; | |
| 49 | 1499626 | Mat A = ctx->A; | |
| 50 | |||
| 51 |
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1499626 | PetscFunctionBegin; |
| 52 |
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1499626 | PetscCallAbort(PetscObjectComm((PetscObject)A),VecPlaceArray(x,(PetscScalar*)xa)); |
| 53 |
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1499626 | PetscCallAbort(PetscObjectComm((PetscObject)A),VecPlaceArray(y,(PetscScalar*)ya)); |
| 54 |
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1499626 | PetscCallAbort(PetscObjectComm((PetscObject)A),MatMult(A,x,y)); |
| 55 |
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1499626 | PetscCallAbort(PetscObjectComm((PetscObject)A),VecResetArray(x)); |
| 56 |
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1499626 | PetscCallAbort(PetscObjectComm((PetscObject)A),VecResetArray(y)); |
| 57 |
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1499626 | PetscFunctionReturnVoid(); |
| 58 | } | ||
| 59 | |||
| 60 | 45 | static PetscErrorCode EPSSetUp_EVSL(EPS eps) | |
| 61 | { | ||
| 62 | 45 | EPS_EVSL *ctx = (EPS_EVSL*)eps->data; | |
| 63 | 45 | PetscMPIInt size,rank; | |
| 64 | 45 | PetscBool isshift; | |
| 65 | 45 | PetscScalar *vinit; | |
| 66 | 45 | PetscReal *mu,ecount,xintv[4],*xdos,*ydos; | |
| 67 | 45 | Vec v0; | |
| 68 | 45 | Mat A; | |
| 69 | 45 | PetscRandom rnd; | |
| 70 | |||
| 71 |
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45 | PetscFunctionBegin; |
| 72 |
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45 | EPSCheckStandard(eps); |
| 73 |
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45 | EPSCheckHermitian(eps); |
| 74 |
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45 | EPSCheckNotStructured(eps); |
| 75 |
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45 | if (eps->nev==0) eps->nev = 1; |
| 76 |
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45 | PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STSHIFT,&isshift)); |
| 77 |
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45 | PetscCheck(isshift,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"This solver does not support spectral transformations"); |
| 78 | |||
| 79 |
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45 | if (ctx->initialized) EVSLFinish(); |
| 80 | 45 | EVSLStart(); | |
| 81 | 45 | ctx->initialized=PETSC_TRUE; | |
| 82 | |||
| 83 | /* get number of slices per process */ | ||
| 84 |
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45 | PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)eps),&size)); |
| 85 |
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45 | PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)eps),&rank)); |
| 86 |
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45 | if (!ctx->nslices) ctx->nslices = size; |
| 87 |
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45 | PetscCall(PetscLayoutDestroy(&ctx->map)); |
| 88 |
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45 | PetscCall(PetscLayoutCreateFromSizes(PetscObjectComm((PetscObject)eps),PETSC_DECIDE,ctx->nslices,1,&ctx->map)); |
| 89 | |||
| 90 | /* get matrix and prepare auxiliary vectors */ | ||
| 91 |
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45 | PetscCall(MatDestroy(&ctx->A)); |
| 92 |
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45 | PetscCall(STGetMatrix(eps->st,0,&A)); |
| 93 |
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45 | if (size==1) { |
| 94 |
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21 | PetscCall(PetscObjectReference((PetscObject)A)); |
| 95 | 21 | ctx->A = A; | |
| 96 |
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24 | } else PetscCall(MatCreateRedundantMatrix(A,0,PETSC_COMM_SELF,MAT_INITIAL_MATRIX,&ctx->A)); |
| 97 | 45 | SetAMatvec(eps->n,&AMatvec_EVSL,(void*)ctx); | |
| 98 |
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45 | if (!ctx->x) PetscCall(MatCreateVecsEmpty(ctx->A,&ctx->x,&ctx->y)); |
| 99 |
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45 | EPSCheckUnsupported(eps,EPS_FEATURE_ARBITRARY | EPS_FEATURE_REGION | EPS_FEATURE_STOPPING); |
| 100 |
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45 | EPSCheckIgnored(eps,EPS_FEATURE_EXTRACTION | EPS_FEATURE_CONVERGENCE); |
| 101 | |||
| 102 |
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45 | if (!eps->which) eps->which=EPS_ALL; |
| 103 |
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45 | PetscCheck(eps->which==EPS_ALL && eps->inta!=eps->intb,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"This solver requires setting an interval with EPSSetInterval()"); |
| 104 | |||
| 105 | /* estimate numerical range */ | ||
| 106 |
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45 | if (ctx->estimrange || ctx->lmin == PETSC_MIN_REAL || ctx->lmax == PETSC_MAX_REAL) { |
| 107 |
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42 | PetscCall(MatCreateVecs(ctx->A,&v0,NULL)); |
| 108 |
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42 | if (!eps->V) PetscCall(EPSGetBV(eps,&eps->V)); |
| 109 |
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42 | PetscCall(BVGetRandomContext(eps->V,&rnd)); |
| 110 |
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42 | PetscCall(VecSetRandom(v0,rnd)); |
| 111 |
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42 | PetscCall(VecGetArray(v0,&vinit)); |
| 112 |
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42 | PetscCallEVSL(LanTrbounds,50,200,eps->tol,vinit,1,&ctx->lmin,&ctx->lmax,NULL); |
| 113 |
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42 | PetscCall(VecRestoreArray(v0,&vinit)); |
| 114 |
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42 | PetscCall(VecDestroy(&v0)); |
| 115 | 42 | ctx->estimrange = PETSC_TRUE; /* estimate if called again with another matrix */ | |
| 116 | } | ||
| 117 |
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45 | PetscCheck(ctx->lmin<=eps->inta && ctx->lmax>=eps->intb,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"The requested interval [%g,%g] must be contained in the numerical range [%g,%g]",(double)eps->inta,(double)eps->intb,(double)ctx->lmin,(double)ctx->lmax); |
| 118 | 45 | xintv[0] = eps->inta; | |
| 119 | 45 | xintv[1] = eps->intb; | |
| 120 | 45 | xintv[2] = ctx->lmin; | |
| 121 | 45 | xintv[3] = ctx->lmax; | |
| 122 | |||
| 123 | /* estimate number of eigenvalues in the interval */ | ||
| 124 |
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45 | switch (ctx->dos) { |
| 125 | 27 | case EPS_EVSL_DOS_KPM: | |
| 126 |
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27 | PetscCall(PetscMalloc1(ctx->deg+1,&mu)); |
| 127 |
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27 | if (!rank) PetscCallEVSL(kpmdos,ctx->deg,(int)ctx->damping,ctx->nvec,xintv,mu,&ecount); |
| 128 |
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54 | PetscCallMPI(MPI_Bcast(mu,ctx->deg+1,MPIU_REAL,0,PetscObjectComm((PetscObject)eps))); |
| 129 | break; | ||
| 130 | 18 | case EPS_EVSL_DOS_LANCZOS: | |
| 131 |
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18 | PetscCall(PetscMalloc2(ctx->npoints,&xdos,ctx->npoints,&ydos)); |
| 132 |
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18 | if (!rank) PetscCallEVSL(LanDos,ctx->nvec,PetscMin(ctx->steps,eps->n/2),ctx->npoints,xdos,ydos,&ecount,xintv); |
| 133 |
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36 | PetscCallMPI(MPI_Bcast(xdos,ctx->npoints,MPIU_REAL,0,PetscObjectComm((PetscObject)eps))); |
| 134 |
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36 | PetscCallMPI(MPI_Bcast(ydos,ctx->npoints,MPIU_REAL,0,PetscObjectComm((PetscObject)eps))); |
| 135 | break; | ||
| 136 | ✗ | default: | |
| 137 | ✗ | SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Invalid DOS method"); | |
| 138 | } | ||
| 139 |
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90 | PetscCallMPI(MPI_Bcast(&ecount,1,MPIU_REAL,0,PetscObjectComm((PetscObject)eps))); |
| 140 | |||
| 141 |
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45 | PetscCall(PetscInfo(eps,"Estimated eigenvalue count in the interval: %g\n",ecount)); |
| 142 | 45 | eps->ncv = (PetscInt)PetscCeilReal(1.5*ecount); | |
| 143 | |||
| 144 | /* slice the spectrum */ | ||
| 145 |
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45 | PetscCall(PetscFree(ctx->sli)); |
| 146 |
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45 | PetscCall(PetscMalloc1(ctx->nslices+1,&ctx->sli)); |
| 147 |
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45 | if (ctx->dos == EPS_EVSL_DOS_KPM) { |
| 148 |
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27 | PetscCallEVSL(spslicer,ctx->sli,mu,ctx->deg,xintv,ctx->nslices,10*(PetscInt)ecount); |
| 149 |
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27 | PetscCall(PetscFree(mu)); |
| 150 |
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18 | } else if (ctx->dos == EPS_EVSL_DOS_LANCZOS) { |
| 151 | 18 | spslicer2(xdos,ydos,ctx->nslices,ctx->npoints,ctx->sli); | |
| 152 |
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18 | PetscCall(PetscFree2(xdos,ydos)); |
| 153 | } | ||
| 154 | |||
| 155 | /* approximate number of eigenvalues wanted in each slice */ | ||
| 156 | 45 | ctx->nev = (PetscInt)(1.0 + ecount/(PetscReal)ctx->nslices) + 2; | |
| 157 | |||
| 158 |
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45 | if (eps->mpd!=PETSC_DETERMINE) PetscCall(PetscInfo(eps,"Warning: parameter mpd ignored\n")); |
| 159 |
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45 | if (eps->max_it==PETSC_DETERMINE) eps->max_it = 1; |
| 160 |
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45 | PetscCall(EPSAllocateSolution(eps,0)); |
| 161 |
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15 | PetscFunctionReturn(PETSC_SUCCESS); |
| 162 | } | ||
| 163 | |||
| 164 | 45 | static PetscErrorCode EPSSolve_EVSL(EPS eps) | |
| 165 | { | ||
| 166 | 45 | EPS_EVSL *ctx = (EPS_EVSL*)eps->data; | |
| 167 | 45 | PetscInt i,j,k=0,sl,mlan,nevout,*ind,nevmax,rstart,rend,*nevloc,*disp,N; | |
| 168 | 45 | PetscReal *res,xintv[4],*errest; | |
| 169 | 45 | PetscScalar *lam,*X,*Y,*vinit,*eigr; | |
| 170 | 45 | PetscMPIInt size,rank; | |
| 171 | 45 | PetscRandom rnd; | |
| 172 | 45 | Vec v,w,v0,x; | |
| 173 | 45 | VecScatter vs; | |
| 174 | 45 | IS is; | |
| 175 | 45 | polparams pol; | |
| 176 | |||
| 177 |
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45 | PetscFunctionBegin; |
| 178 |
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45 | PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)eps),&size)); |
| 179 |
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45 | PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)eps),&rank)); |
| 180 |
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45 | PetscCall(PetscLayoutGetRange(ctx->map,&rstart,&rend)); |
| 181 | 45 | nevmax = (rend-rstart)*ctx->nev; | |
| 182 |
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45 | PetscCall(MatCreateVecs(ctx->A,&v0,NULL)); |
| 183 |
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45 | PetscCall(BVGetRandomContext(eps->V,&rnd)); |
| 184 |
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45 | PetscCall(VecSetRandom(v0,rnd)); |
| 185 |
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45 | PetscCall(VecGetArray(v0,&vinit)); |
| 186 |
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45 | PetscCall(PetscMalloc5(size,&nevloc,size+1,&disp,nevmax,&eigr,nevmax,&errest,nevmax*eps->n,&X)); |
| 187 | 45 | mlan = PetscMin(PetscMax(5*ctx->nev,300),eps->n); | |
| 188 |
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111 | for (sl=rstart; sl<rend; sl++) { |
| 189 | 66 | xintv[0] = ctx->sli[sl]; | |
| 190 | 66 | xintv[1] = ctx->sli[sl+1]; | |
| 191 | 66 | xintv[2] = ctx->lmin; | |
| 192 | 66 | xintv[3] = ctx->lmax; | |
| 193 |
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66 | PetscCall(PetscInfo(ctx->A,"Subinterval %" PetscInt_FMT ": [%.4e, %.4e]\n",sl+1,xintv[0],xintv[1])); |
| 194 | 66 | set_pol_def(&pol); | |
| 195 | 66 | pol.max_deg = ctx->max_deg; | |
| 196 | 66 | pol.damping = (int)ctx->damping; | |
| 197 | 66 | pol.thresh_int = ctx->thresh; | |
| 198 | 66 | find_pol(xintv,&pol); | |
| 199 |
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66 | PetscCall(PetscInfo(ctx->A,"Polynomial [type = %" PetscInt_FMT "], deg %" PetscInt_FMT ", bar %e gam %e\n",pol.type,pol.deg,pol.bar,pol.gam)); |
| 200 |
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66 | PetscCallEVSL(ChebLanNr,xintv,mlan,eps->tol,vinit,&pol,&nevout,&lam,&Y,&res,NULL); |
| 201 |
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66 | PetscCheck(k+nevout<=nevmax,PetscObjectComm((PetscObject)eps),PETSC_ERR_LIB,"Too low estimation of eigenvalue count, try modifying the sampling parameters"); |
| 202 | 66 | free_pol(&pol); | |
| 203 |
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66 | PetscCall(PetscInfo(ctx->A,"Computed %" PetscInt_FMT " eigenvalues\n",nevout)); |
| 204 |
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66 | PetscCall(PetscMalloc1(nevout,&ind)); |
| 205 | 66 | sort_double(nevout,lam,ind); | |
| 206 |
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510 | for (i=0;i<nevout;i++) { |
| 207 | 378 | eigr[i+k] = lam[i]; | |
| 208 | 378 | errest[i+k] = res[ind[i]]; | |
| 209 |
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378 | PetscCall(PetscArraycpy(X+(i+k)*eps->n,Y+ind[i]*eps->n,eps->n)); |
| 210 | } | ||
| 211 | 66 | k += nevout; | |
| 212 |
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66 | if (lam) evsl_Free(lam); |
| 213 |
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66 | if (Y) evsl_Free_device(Y); |
| 214 |
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66 | if (res) evsl_Free(res); |
| 215 |
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66 | PetscCall(PetscFree(ind)); |
| 216 | } | ||
| 217 |
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45 | PetscCall(VecRestoreArray(v0,&vinit)); |
| 218 |
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45 | PetscCall(VecDestroy(&v0)); |
| 219 | |||
| 220 | /* gather eigenvalues computed by each MPI process */ | ||
| 221 |
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90 | PetscCallMPI(MPI_Allgather(&k,1,MPIU_INT,nevloc,1,MPIU_INT,PetscObjectComm((PetscObject)eps))); |
| 222 | 45 | eps->nev = nevloc[0]; | |
| 223 | 45 | disp[0] = 0; | |
| 224 |
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69 | for (i=1;i<size;i++) { |
| 225 | 24 | eps->nev += nevloc[i]; | |
| 226 | 24 | disp[i] = disp[i-1]+nevloc[i-1]; | |
| 227 | } | ||
| 228 | 45 | disp[size] = disp[size-1]+nevloc[size-1]; | |
| 229 |
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45 | PetscCheck(eps->nev<=eps->ncv,PetscObjectComm((PetscObject)eps),PETSC_ERR_LIB,"Too low estimation of eigenvalue count, try modifying the sampling parameters"); |
| 230 |
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90 | PetscCallMPI(MPI_Allgatherv(eigr,k,MPIU_SCALAR,eps->eigr,nevloc,disp,MPIU_SCALAR,PetscObjectComm((PetscObject)eps))); |
| 231 |
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90 | PetscCallMPI(MPI_Allgatherv(errest,k,MPIU_REAL,eps->errest,nevloc,disp,MPIU_REAL,PetscObjectComm((PetscObject)eps))); |
| 232 | 45 | eps->nconv = eps->nev; | |
| 233 | 45 | eps->its = 1; | |
| 234 | 45 | eps->reason = EPS_CONVERGED_TOL; | |
| 235 | |||
| 236 | /* scatter computed eigenvectors and store them in eps->V */ | ||
| 237 |
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45 | PetscCall(BVCreateVec(eps->V,&w)); |
| 238 |
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114 | for (i=0;i<size;i++) { |
| 239 |
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69 | N = (rank==i)? eps->n: 0; |
| 240 |
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69 | PetscCall(VecCreateSeq(PETSC_COMM_SELF,N,&x)); |
| 241 |
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69 | PetscCall(VecSetFromOptions(x)); |
| 242 |
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69 | PetscCall(ISCreateStride(PETSC_COMM_SELF,N,0,1,&is)); |
| 243 |
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69 | PetscCall(VecScatterCreate(x,is,w,is,&vs)); |
| 244 |
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69 | PetscCall(ISDestroy(&is)); |
| 245 |
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528 | for (j=disp[i];j<disp[i+1];j++) { |
| 246 |
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459 | PetscCall(BVGetColumn(eps->V,j,&v)); |
| 247 |
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459 | if (rank==i) PetscCall(VecPlaceArray(x,X+(j-disp[i])*eps->n)); |
| 248 |
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459 | PetscCall(VecScatterBegin(vs,x,v,INSERT_VALUES,SCATTER_FORWARD)); |
| 249 |
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459 | PetscCall(VecScatterEnd(vs,x,v,INSERT_VALUES,SCATTER_FORWARD)); |
| 250 |
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459 | if (rank==i) PetscCall(VecResetArray(x)); |
| 251 |
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459 | PetscCall(BVRestoreColumn(eps->V,j,&v)); |
| 252 | } | ||
| 253 |
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69 | PetscCall(VecScatterDestroy(&vs)); |
| 254 |
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69 | PetscCall(VecDestroy(&x)); |
| 255 | } | ||
| 256 |
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45 | PetscCall(VecDestroy(&w)); |
| 257 |
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45 | PetscCall(PetscFree5(nevloc,disp,eigr,errest,X)); |
| 258 |
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15 | PetscFunctionReturn(PETSC_SUCCESS); |
| 259 | } | ||
| 260 | |||
| 261 | 6 | static PetscErrorCode EPSEVSLSetSlices_EVSL(EPS eps,PetscInt nslices) | |
| 262 | { | ||
| 263 | 6 | EPS_EVSL *ctx = (EPS_EVSL*)eps->data; | |
| 264 | |||
| 265 |
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6 | PetscFunctionBegin; |
| 266 |
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6 | if (nslices == PETSC_DECIDE || nslices == PETSC_DEFAULT) nslices = 0; |
| 267 |
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6 | else PetscCheck(nslices>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Number of slices must be 1 at least"); |
| 268 |
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6 | if (ctx->nslices != nslices) { |
| 269 | 6 | ctx->nslices = nslices; | |
| 270 | 6 | eps->state = EPS_STATE_INITIAL; | |
| 271 | } | ||
| 272 |
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2 | PetscFunctionReturn(PETSC_SUCCESS); |
| 273 | } | ||
| 274 | |||
| 275 | /*@ | ||
| 276 | EPSEVSLSetSlices - Set the number of slices in which the interval must be | ||
| 277 | subdivided. | ||
| 278 | |||
| 279 | Logically Collective | ||
| 280 | |||
| 281 | Input Parameters: | ||
| 282 | + eps - the eigensolver context | ||
| 283 | - nslices - the number of slices | ||
| 284 | |||
| 285 | Options Database Key: | ||
| 286 | . -eps_evsl_slices <n> - set the number of slices to n | ||
| 287 | |||
| 288 | Notes: | ||
| 289 | By default, one slice per MPI process is used. Depending on the number of | ||
| 290 | eigenvalues, using more slices may be beneficial, but very narrow subintervals | ||
| 291 | imply higher polynomial degree. | ||
| 292 | |||
| 293 | Level: intermediate | ||
| 294 | |||
| 295 | .seealso: EPSEVSLGetSlices() | ||
| 296 | @*/ | ||
| 297 | 6 | PetscErrorCode EPSEVSLSetSlices(EPS eps,PetscInt nslices) | |
| 298 | { | ||
| 299 |
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6 | PetscFunctionBegin; |
| 300 |
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6 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 301 |
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6 | PetscValidLogicalCollectiveInt(eps,nslices,2); |
| 302 |
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6 | PetscTryMethod(eps,"EPSEVSLSetSlices_C",(EPS,PetscInt),(eps,nslices)); |
| 303 |
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6 | PetscFunctionReturn(PETSC_SUCCESS); |
| 304 | } | ||
| 305 | |||
| 306 | 3 | static PetscErrorCode EPSEVSLGetSlices_EVSL(EPS eps,PetscInt *nslices) | |
| 307 | { | ||
| 308 | 3 | EPS_EVSL *ctx = (EPS_EVSL*)eps->data; | |
| 309 | |||
| 310 |
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3 | PetscFunctionBegin; |
| 311 | 3 | *nslices = ctx->nslices; | |
| 312 |
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3 | PetscFunctionReturn(PETSC_SUCCESS); |
| 313 | } | ||
| 314 | |||
| 315 | /*@ | ||
| 316 | EPSEVSLGetSlices - Gets the number of slices in which the interval must be | ||
| 317 | subdivided. | ||
| 318 | |||
| 319 | Not Collective | ||
| 320 | |||
| 321 | Input Parameter: | ||
| 322 | . eps - the eigensolver context | ||
| 323 | |||
| 324 | Output Parameter: | ||
| 325 | . nslices - the number of slices | ||
| 326 | |||
| 327 | Level: intermediate | ||
| 328 | |||
| 329 | .seealso: EPSEVSLSetSlices() | ||
| 330 | @*/ | ||
| 331 | 3 | PetscErrorCode EPSEVSLGetSlices(EPS eps,PetscInt *nslices) | |
| 332 | { | ||
| 333 |
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3 | PetscFunctionBegin; |
| 334 |
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3 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 335 |
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3 | PetscAssertPointer(nslices,2); |
| 336 |
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3 | PetscUseMethod(eps,"EPSEVSLGetSlices_C",(EPS,PetscInt*),(eps,nslices)); |
| 337 |
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3 | PetscFunctionReturn(PETSC_SUCCESS); |
| 338 | } | ||
| 339 | |||
| 340 | 3 | static PetscErrorCode EPSEVSLSetRange_EVSL(EPS eps,PetscReal lmin,PetscReal lmax) | |
| 341 | { | ||
| 342 | 3 | EPS_EVSL *ctx = (EPS_EVSL*)eps->data; | |
| 343 | |||
| 344 |
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3 | PetscFunctionBegin; |
| 345 |
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3 | PetscCheck(lmin<lmax,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONG,"Badly defined interval, must be lmin<lmax"); |
| 346 |
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3 | if (ctx->lmin != lmin || ctx->lmax != lmax) { |
| 347 | 3 | ctx->lmin = lmin; | |
| 348 | 3 | ctx->lmax = lmax; | |
| 349 | 3 | eps->state = EPS_STATE_INITIAL; | |
| 350 | } | ||
| 351 |
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1 | PetscFunctionReturn(PETSC_SUCCESS); |
| 352 | } | ||
| 353 | |||
| 354 | /*@ | ||
| 355 | EPSEVSLSetRange - Defines the numerical range (or field of values) of the problem, | ||
| 356 | that is, the interval containing all eigenvalues. | ||
| 357 | |||
| 358 | Logically Collective | ||
| 359 | |||
| 360 | Input Parameters: | ||
| 361 | + eps - the eigensolver context | ||
| 362 | . lmin - left end of the interval | ||
| 363 | - lmax - right end of the interval | ||
| 364 | |||
| 365 | Options Database Key: | ||
| 366 | . -eps_evsl_range <a,b> - set [a,b] as the numerical range | ||
| 367 | |||
| 368 | Notes: | ||
| 369 | The filter will be most effective if the numerical range is tight, that is, lmin | ||
| 370 | and lmax are good approximations to the leftmost and rightmost eigenvalues, | ||
| 371 | respectively. If not set by the user, an approximation is computed internally. | ||
| 372 | |||
| 373 | The wanted computational interval specified via EPSSetInterval() must be | ||
| 374 | contained in the numerical range. | ||
| 375 | |||
| 376 | Level: intermediate | ||
| 377 | |||
| 378 | .seealso: EPSEVSLGetRange(), EPSSetInterval() | ||
| 379 | @*/ | ||
| 380 | 3 | PetscErrorCode EPSEVSLSetRange(EPS eps,PetscReal lmin,PetscReal lmax) | |
| 381 | { | ||
| 382 |
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3 | PetscFunctionBegin; |
| 383 |
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3 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 384 |
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3 | PetscValidLogicalCollectiveReal(eps,lmin,2); |
| 385 |
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3 | PetscValidLogicalCollectiveReal(eps,lmax,3); |
| 386 |
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3 | PetscTryMethod(eps,"EPSEVSLSetRange_C",(EPS,PetscReal,PetscReal),(eps,lmin,lmax)); |
| 387 |
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3 | PetscFunctionReturn(PETSC_SUCCESS); |
| 388 | } | ||
| 389 | |||
| 390 | 3 | static PetscErrorCode EPSEVSLGetRange_EVSL(EPS eps,PetscReal *lmin,PetscReal *lmax) | |
| 391 | { | ||
| 392 | 3 | EPS_EVSL *ctx = (EPS_EVSL*)eps->data; | |
| 393 | |||
| 394 |
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3 | PetscFunctionBegin; |
| 395 |
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3 | if (lmin) *lmin = ctx->lmin; |
| 396 |
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3 | if (lmax) *lmax = ctx->lmax; |
| 397 |
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3 | PetscFunctionReturn(PETSC_SUCCESS); |
| 398 | } | ||
| 399 | |||
| 400 | /*@ | ||
| 401 | EPSEVSLGetRange - Gets the interval containing all eigenvalues. | ||
| 402 | |||
| 403 | Not Collective | ||
| 404 | |||
| 405 | Input Parameter: | ||
| 406 | . eps - the eigensolver context | ||
| 407 | |||
| 408 | Output Parameters: | ||
| 409 | + lmin - left end of the interval | ||
| 410 | - lmax - right end of the interval | ||
| 411 | |||
| 412 | Level: intermediate | ||
| 413 | |||
| 414 | .seealso: EPSEVSLSetRange() | ||
| 415 | @*/ | ||
| 416 | 3 | PetscErrorCode EPSEVSLGetRange(EPS eps,PetscReal *lmin,PetscReal *lmax) | |
| 417 | { | ||
| 418 |
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3 | PetscFunctionBegin; |
| 419 |
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3 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 420 |
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3 | PetscUseMethod(eps,"EPSEVSLGetRange_C",(EPS,PetscReal*,PetscReal*),(eps,lmin,lmax)); |
| 421 |
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3 | PetscFunctionReturn(PETSC_SUCCESS); |
| 422 | } | ||
| 423 | |||
| 424 | 12 | static PetscErrorCode EPSEVSLSetDOSParameters_EVSL(EPS eps,EPSEVSLDOSMethod dos,PetscInt nvec,PetscInt deg,PetscInt steps,PetscInt npoints) | |
| 425 | { | ||
| 426 | 12 | EPS_EVSL *ctx = (EPS_EVSL*)eps->data; | |
| 427 | |||
| 428 |
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12 | PetscFunctionBegin; |
| 429 | 12 | ctx->dos = dos; | |
| 430 |
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12 | if (nvec == PETSC_DETERMINE) ctx->nvec = 80; |
| 431 |
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12 | else if (nvec != PETSC_CURRENT) { |
| 432 |
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12 | PetscCheck(nvec>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"The nvec argument must be > 0"); |
| 433 | 12 | ctx->nvec = nvec; | |
| 434 | } | ||
| 435 |
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12 | switch (dos) { |
| 436 | 3 | case EPS_EVSL_DOS_KPM: | |
| 437 |
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3 | if (deg == PETSC_DETERMINE) ctx->deg = 300; |
| 438 |
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3 | else if (deg != PETSC_CURRENT) { |
| 439 |
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3 | PetscCheck(deg>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"The deg argument must be > 0"); |
| 440 | 3 | ctx->deg = deg; | |
| 441 | } | ||
| 442 | break; | ||
| 443 | 9 | case EPS_EVSL_DOS_LANCZOS: | |
| 444 |
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9 | if (steps == PETSC_DETERMINE) ctx->steps = 40; |
| 445 |
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9 | else if (steps != PETSC_CURRENT) { |
| 446 |
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9 | PetscCheck(steps>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"The steps argument must be > 0"); |
| 447 | 9 | ctx->steps = steps; | |
| 448 | } | ||
| 449 |
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9 | if (npoints == PETSC_DETERMINE) ctx->npoints = 200; |
| 450 |
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9 | else if (npoints != PETSC_CURRENT) { |
| 451 |
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9 | PetscCheck(npoints>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"The npoints argument must be > 0"); |
| 452 | 9 | ctx->npoints = npoints; | |
| 453 | } | ||
| 454 | break; | ||
| 455 | } | ||
| 456 | 12 | eps->state = EPS_STATE_INITIAL; | |
| 457 |
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12 | PetscFunctionReturn(PETSC_SUCCESS); |
| 458 | } | ||
| 459 | |||
| 460 | /*@ | ||
| 461 | EPSEVSLSetDOSParameters - Defines the parameters used for computing the | ||
| 462 | density of states (DOS) in the EVSL solver. | ||
| 463 | |||
| 464 | Logically Collective | ||
| 465 | |||
| 466 | Input Parameters: | ||
| 467 | + eps - the eigensolver context | ||
| 468 | . dos - DOS method, either KPM or Lanczos | ||
| 469 | . nvec - number of sample vectors | ||
| 470 | . deg - polynomial degree (KPM only) | ||
| 471 | . steps - number of Lanczos steps (Lanczos only) | ||
| 472 | - npoints - number of sample points (Lanczos only) | ||
| 473 | |||
| 474 | Options Database Keys: | ||
| 475 | + -eps_evsl_dos_method <dos> - set the DOS method, either kpm or lanczos | ||
| 476 | . -eps_evsl_dos_nvec <n> - set the number of sample vectors | ||
| 477 | . -eps_evsl_dos_degree <n> - set the polynomial degree | ||
| 478 | . -eps_evsl_dos_steps <n> - set the number of Lanczos steps | ||
| 479 | - -eps_evsl_dos_npoints <n> - set the number of sample points | ||
| 480 | |||
| 481 | Notes: | ||
| 482 | The density of states (or spectral density) can be approximated with two | ||
| 483 | methods, kernel polynomial method (KPM) or Lanczos. Some parameters for | ||
| 484 | these methods can be set by the user with this function, with some of | ||
| 485 | them being relevant for one of the methods only. | ||
| 486 | |||
| 487 | For the integer argumens, you can use PETSC_CURRENT to keep the current | ||
| 488 | value, and PETSC_DETERMINE to set them to a reasonable default. | ||
| 489 | |||
| 490 | Level: intermediate | ||
| 491 | |||
| 492 | .seealso: EPSEVSLGetDOSParameters() | ||
| 493 | @*/ | ||
| 494 | 12 | PetscErrorCode EPSEVSLSetDOSParameters(EPS eps,EPSEVSLDOSMethod dos,PetscInt nvec,PetscInt deg,PetscInt steps,PetscInt npoints) | |
| 495 | { | ||
| 496 |
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12 | PetscFunctionBegin; |
| 497 |
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12 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 498 |
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12 | PetscValidLogicalCollectiveEnum(eps,dos,2); |
| 499 |
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12 | PetscValidLogicalCollectiveInt(eps,nvec,3); |
| 500 |
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12 | PetscValidLogicalCollectiveInt(eps,deg,4); |
| 501 |
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12 | PetscValidLogicalCollectiveInt(eps,steps,5); |
| 502 |
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12 | PetscValidLogicalCollectiveInt(eps,npoints,6); |
| 503 |
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12 | PetscTryMethod(eps,"EPSEVSLSetDOSParameters_C",(EPS,EPSEVSLDOSMethod,PetscInt,PetscInt,PetscInt,PetscInt),(eps,dos,nvec,deg,steps,npoints)); |
| 504 |
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12 | PetscFunctionReturn(PETSC_SUCCESS); |
| 505 | } | ||
| 506 | |||
| 507 | 27 | static PetscErrorCode EPSEVSLGetDOSParameters_EVSL(EPS eps,EPSEVSLDOSMethod *dos,PetscInt *nvec,PetscInt *deg,PetscInt *steps,PetscInt *npoints) | |
| 508 | { | ||
| 509 | 27 | EPS_EVSL *ctx = (EPS_EVSL*)eps->data; | |
| 510 | |||
| 511 |
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27 | PetscFunctionBegin; |
| 512 |
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27 | if (dos) *dos = ctx->dos; |
| 513 |
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27 | if (nvec) *nvec = ctx->nvec; |
| 514 |
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27 | if (deg) *deg = ctx->deg; |
| 515 |
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27 | if (steps) *steps = ctx->steps; |
| 516 |
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27 | if (npoints) *npoints = ctx->npoints; |
| 517 |
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27 | PetscFunctionReturn(PETSC_SUCCESS); |
| 518 | } | ||
| 519 | |||
| 520 | /*@ | ||
| 521 | EPSEVSLGetDOSParameters - Gets the parameters used for computing the | ||
| 522 | density of states (DOS) in the EVSL solver. | ||
| 523 | |||
| 524 | Not Collective | ||
| 525 | |||
| 526 | Input Parameter: | ||
| 527 | . eps - the eigensolver context | ||
| 528 | |||
| 529 | Output Parameters: | ||
| 530 | + dos - DOS method, either KPM or Lanczos | ||
| 531 | . nvec - number of sample vectors | ||
| 532 | . deg - polynomial degree (KPM only) | ||
| 533 | . steps - number of Lanczos steps (Lanczos only) | ||
| 534 | - npoints - number of sample points (Lanczos only) | ||
| 535 | |||
| 536 | Level: intermediate | ||
| 537 | |||
| 538 | .seealso: EPSEVSLSetDOSParameters() | ||
| 539 | @*/ | ||
| 540 | 27 | PetscErrorCode EPSEVSLGetDOSParameters(EPS eps,EPSEVSLDOSMethod *dos,PetscInt *nvec,PetscInt *deg,PetscInt *steps,PetscInt *npoints) | |
| 541 | { | ||
| 542 |
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27 | PetscFunctionBegin; |
| 543 |
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27 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 544 |
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27 | PetscUseMethod(eps,"EPSEVSLGetDOSParameters_C",(EPS,EPSEVSLDOSMethod*,PetscInt*,PetscInt*,PetscInt*,PetscInt*),(eps,dos,nvec,deg,steps,npoints)); |
| 545 |
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27 | PetscFunctionReturn(PETSC_SUCCESS); |
| 546 | } | ||
| 547 | |||
| 548 | 3 | static PetscErrorCode EPSEVSLSetPolParameters_EVSL(EPS eps,PetscInt max_deg,PetscReal thresh) | |
| 549 | { | ||
| 550 | 3 | EPS_EVSL *ctx = (EPS_EVSL*)eps->data; | |
| 551 | |||
| 552 |
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3 | PetscFunctionBegin; |
| 553 |
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3 | if (max_deg == PETSC_DETERMINE) ctx->max_deg = 10000; |
| 554 |
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3 | else if (max_deg != PETSC_CURRENT) { |
| 555 |
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3 | PetscCheck(max_deg>2,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"The max_deg argument must be > 2"); |
| 556 | 3 | ctx->max_deg = max_deg; | |
| 557 | } | ||
| 558 |
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3 | if (thresh == (PetscReal)PETSC_DETERMINE) ctx->thresh = 0.8; |
| 559 |
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3 | else if (thresh != (PetscReal)PETSC_CURRENT) { |
| 560 |
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3 | PetscCheck(thresh>0.0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"The thresh argument must be > 0.0"); |
| 561 | 3 | ctx->thresh = thresh; | |
| 562 | } | ||
| 563 | 3 | eps->state = EPS_STATE_INITIAL; | |
| 564 |
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3 | PetscFunctionReturn(PETSC_SUCCESS); |
| 565 | } | ||
| 566 | |||
| 567 | /*@ | ||
| 568 | EPSEVSLSetPolParameters - Defines the parameters used for building the | ||
| 569 | building the polynomial in the EVSL solver. | ||
| 570 | |||
| 571 | Logically Collective | ||
| 572 | |||
| 573 | Input Parameters: | ||
| 574 | + eps - the eigensolver context | ||
| 575 | . max_deg - maximum degree allowed for the polynomial | ||
| 576 | - thresh - threshold for accepting polynomial | ||
| 577 | |||
| 578 | Options Database Keys: | ||
| 579 | + -eps_evsl_pol_max_deg <d> - set maximum polynomial degree | ||
| 580 | - -eps_evsl_pol_thresh <t> - set the threshold | ||
| 581 | |||
| 582 | Note: | ||
| 583 | PETSC_CURRENT can be used to preserve the current value of any of the | ||
| 584 | arguments, and PETSC_DETERMINE to set them to a default value. | ||
| 585 | |||
| 586 | Level: intermediate | ||
| 587 | |||
| 588 | .seealso: EPSEVSLGetPolParameters() | ||
| 589 | @*/ | ||
| 590 | 3 | PetscErrorCode EPSEVSLSetPolParameters(EPS eps,PetscInt max_deg,PetscReal thresh) | |
| 591 | { | ||
| 592 |
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3 | PetscFunctionBegin; |
| 593 |
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3 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 594 |
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3 | PetscValidLogicalCollectiveInt(eps,max_deg,2); |
| 595 |
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3 | PetscValidLogicalCollectiveReal(eps,thresh,3); |
| 596 |
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3 | PetscTryMethod(eps,"EPSEVSLSetPolParameters_C",(EPS,PetscInt,PetscReal),(eps,max_deg,thresh)); |
| 597 |
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|
3 | PetscFunctionReturn(PETSC_SUCCESS); |
| 598 | } | ||
| 599 | |||
| 600 | 27 | static PetscErrorCode EPSEVSLGetPolParameters_EVSL(EPS eps,PetscInt *max_deg,PetscReal *thresh) | |
| 601 | { | ||
| 602 | 27 | EPS_EVSL *ctx = (EPS_EVSL*)eps->data; | |
| 603 | |||
| 604 |
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27 | PetscFunctionBegin; |
| 605 |
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27 | if (max_deg) *max_deg = ctx->max_deg; |
| 606 |
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27 | if (thresh) *thresh = ctx->thresh; |
| 607 |
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27 | PetscFunctionReturn(PETSC_SUCCESS); |
| 608 | } | ||
| 609 | |||
| 610 | /*@ | ||
| 611 | EPSEVSLGetPolParameters - Gets the parameters used for building the | ||
| 612 | polynomial in the EVSL solver. | ||
| 613 | |||
| 614 | Not Collective | ||
| 615 | |||
| 616 | Input Parameter: | ||
| 617 | . eps - the eigensolver context | ||
| 618 | |||
| 619 | Output Parameters: | ||
| 620 | + max_deg - the maximum degree of the polynomial | ||
| 621 | - thresh - the threshold | ||
| 622 | |||
| 623 | Level: intermediate | ||
| 624 | |||
| 625 | .seealso: EPSEVSLSetPolParameters() | ||
| 626 | @*/ | ||
| 627 | 27 | PetscErrorCode EPSEVSLGetPolParameters(EPS eps,PetscInt *max_deg,PetscReal *thresh) | |
| 628 | { | ||
| 629 |
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27 | PetscFunctionBegin; |
| 630 |
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27 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 631 |
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27 | PetscUseMethod(eps,"EPSEVSLGetPolParameters_C",(EPS,PetscInt*,PetscReal*),(eps,max_deg,thresh)); |
| 632 |
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27 | PetscFunctionReturn(PETSC_SUCCESS); |
| 633 | } | ||
| 634 | |||
| 635 | 6 | static PetscErrorCode EPSEVSLSetDamping_EVSL(EPS eps,EPSEVSLDamping damping) | |
| 636 | { | ||
| 637 | 6 | EPS_EVSL *ctx = (EPS_EVSL*)eps->data; | |
| 638 | |||
| 639 |
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6 | PetscFunctionBegin; |
| 640 |
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6 | if (ctx->damping != damping) { |
| 641 | 3 | ctx->damping = damping; | |
| 642 | 3 | eps->state = EPS_STATE_INITIAL; | |
| 643 | } | ||
| 644 |
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6 | PetscFunctionReturn(PETSC_SUCCESS); |
| 645 | } | ||
| 646 | |||
| 647 | /*@ | ||
| 648 | EPSEVSLSetDamping - Set the type of damping to be used in EVSL. | ||
| 649 | |||
| 650 | Logically Collective | ||
| 651 | |||
| 652 | Input Parameters: | ||
| 653 | + eps - the eigensolver context | ||
| 654 | - damping - the type of damping | ||
| 655 | |||
| 656 | Options Database Key: | ||
| 657 | . -eps_evsl_damping <n> - set the type of damping | ||
| 658 | |||
| 659 | Notes: | ||
| 660 | Damping is applied when building the polynomial to be used when solving the | ||
| 661 | eigenproblem, and also during estimation of DOS with the KPM method. | ||
| 662 | |||
| 663 | Level: intermediate | ||
| 664 | |||
| 665 | .seealso: EPSEVSLGetDamping(), EPSEVSLSetDOSParameters() | ||
| 666 | @*/ | ||
| 667 | 6 | PetscErrorCode EPSEVSLSetDamping(EPS eps,EPSEVSLDamping damping) | |
| 668 | { | ||
| 669 |
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6 | PetscFunctionBegin; |
| 670 |
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6 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 671 |
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6 | PetscValidLogicalCollectiveEnum(eps,damping,2); |
| 672 |
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6 | PetscTryMethod(eps,"EPSEVSLSetDamping_C",(EPS,EPSEVSLDamping),(eps,damping)); |
| 673 |
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6 | PetscFunctionReturn(PETSC_SUCCESS); |
| 674 | } | ||
| 675 | |||
| 676 | 3 | static PetscErrorCode EPSEVSLGetDamping_EVSL(EPS eps,EPSEVSLDamping *damping) | |
| 677 | { | ||
| 678 | 3 | EPS_EVSL *ctx = (EPS_EVSL*)eps->data; | |
| 679 | |||
| 680 |
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3 | PetscFunctionBegin; |
| 681 | 3 | *damping = ctx->damping; | |
| 682 |
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3 | PetscFunctionReturn(PETSC_SUCCESS); |
| 683 | } | ||
| 684 | |||
| 685 | /*@ | ||
| 686 | EPSEVSLGetDamping - Gets the type of damping. | ||
| 687 | |||
| 688 | Not Collective | ||
| 689 | |||
| 690 | Input Parameter: | ||
| 691 | . eps - the eigensolver context | ||
| 692 | |||
| 693 | Output Parameter: | ||
| 694 | . damping - the type of damping | ||
| 695 | |||
| 696 | Level: intermediate | ||
| 697 | |||
| 698 | .seealso: EPSEVSLSetDamping() | ||
| 699 | @*/ | ||
| 700 | 3 | PetscErrorCode EPSEVSLGetDamping(EPS eps,EPSEVSLDamping *damping) | |
| 701 | { | ||
| 702 |
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3 | PetscFunctionBegin; |
| 703 |
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3 | PetscValidHeaderSpecific(eps,EPS_CLASSID,1); |
| 704 |
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3 | PetscAssertPointer(damping,2); |
| 705 |
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3 | PetscUseMethod(eps,"EPSEVSLGetDamping_C",(EPS,EPSEVSLDamping*),(eps,damping)); |
| 706 |
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3 | PetscFunctionReturn(PETSC_SUCCESS); |
| 707 | } | ||
| 708 | |||
| 709 | 3 | static PetscErrorCode EPSView_EVSL(EPS eps,PetscViewer viewer) | |
| 710 | { | ||
| 711 | 3 | PetscBool isascii; | |
| 712 | 3 | EPS_EVSL *ctx = (EPS_EVSL*)eps->data; | |
| 713 | |||
| 714 |
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3 | PetscFunctionBegin; |
| 715 |
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3 | PetscCall(PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&isascii)); |
| 716 |
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3 | if (isascii) { |
| 717 |
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3 | PetscCall(PetscViewerASCIIPrintf(viewer," numerical range = [%g,%g]\n",(double)ctx->lmin,(double)ctx->lmax)); |
| 718 |
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3 | PetscCall(PetscViewerASCIIPrintf(viewer," number of slices = %" PetscInt_FMT "\n",ctx->nslices)); |
| 719 |
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3 | PetscCall(PetscViewerASCIIPrintf(viewer," type of damping = %s\n",EPSEVSLDampings[ctx->damping])); |
| 720 |
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3 | PetscCall(PetscViewerASCIIPrintf(viewer," computing DOS with %s: nvec=%" PetscInt_FMT ", ",EPSEVSLDOSMethods[ctx->dos],ctx->nvec)); |
| 721 |
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3 | PetscCall(PetscViewerASCIIUseTabs(viewer,PETSC_FALSE)); |
| 722 |
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3 | switch (ctx->dos) { |
| 723 | 3 | case EPS_EVSL_DOS_KPM: | |
| 724 |
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3 | PetscCall(PetscViewerASCIIPrintf(viewer,"degree=%" PetscInt_FMT "\n",ctx->deg)); |
| 725 | break; | ||
| 726 | ✗ | case EPS_EVSL_DOS_LANCZOS: | |
| 727 | ✗ | PetscCall(PetscViewerASCIIPrintf(viewer,"steps=%" PetscInt_FMT ", npoints=%" PetscInt_FMT "\n",ctx->steps,ctx->npoints)); | |
| 728 | break; | ||
| 729 | } | ||
| 730 |
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3 | PetscCall(PetscViewerASCIIUseTabs(viewer,PETSC_TRUE)); |
| 731 |
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3 | PetscCall(PetscViewerASCIIPrintf(viewer," polynomial parameters: max degree = %" PetscInt_FMT ", threshold = %g\n",ctx->max_deg,(double)ctx->thresh)); |
| 732 | } | ||
| 733 |
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1 | PetscFunctionReturn(PETSC_SUCCESS); |
| 734 | } | ||
| 735 | |||
| 736 | 27 | static PetscErrorCode EPSSetFromOptions_EVSL(EPS eps,PetscOptionItems PetscOptionsObject) | |
| 737 | { | ||
| 738 | 27 | PetscReal array[2]={0,0},th; | |
| 739 | 27 | PetscInt k,i1,i2,i3,i4; | |
| 740 | 27 | PetscBool flg,flg1; | |
| 741 | 27 | EPSEVSLDOSMethod dos; | |
| 742 | 27 | EPSEVSLDamping damping; | |
| 743 | 27 | EPS_EVSL *ctx = (EPS_EVSL*)eps->data; | |
| 744 | |||
| 745 |
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27 | PetscFunctionBegin; |
| 746 |
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27 | PetscOptionsHeadBegin(PetscOptionsObject,"EPS EVSL Options"); |
| 747 | |||
| 748 | 27 | k = 2; | |
| 749 |
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27 | PetscCall(PetscOptionsRealArray("-eps_evsl_range","Interval containing all eigenvalues (two real values separated with a comma without spaces)","EPSEVSLSetRange",array,&k,&flg)); |
| 750 |
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27 | if (flg) { |
| 751 | ✗ | PetscCheck(k>1,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_SIZ,"Must pass two values in -eps_evsl_range (comma-separated without spaces)"); | |
| 752 | ✗ | PetscCall(EPSEVSLSetRange(eps,array[0],array[1])); | |
| 753 | } | ||
| 754 | |||
| 755 |
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27 | PetscCall(PetscOptionsInt("-eps_evsl_slices","Number of slices","EPSEVSLSetSlices",ctx->nslices,&i1,&flg)); |
| 756 |
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27 | if (flg) PetscCall(EPSEVSLSetSlices(eps,i1)); |
| 757 | |||
| 758 |
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27 | PetscCall(PetscOptionsEnum("-eps_evsl_damping","Type of damping","EPSEVSLSetDamping",EPSEVSLDampings,(PetscEnum)ctx->damping,(PetscEnum*)&damping,&flg)); |
| 759 |
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27 | if (flg) PetscCall(EPSEVSLSetDamping(eps,damping)); |
| 760 | |||
| 761 |
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27 | PetscCall(EPSEVSLGetDOSParameters(eps,&dos,&i1,&i2,&i3,&i4)); |
| 762 |
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27 | PetscCall(PetscOptionsEnum("-eps_evsl_dos_method","Method to compute the DOS","EPSEVSLSetDOSParameters",EPSEVSLDOSMethods,(PetscEnum)ctx->dos,(PetscEnum*)&dos,&flg)); |
| 763 |
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27 | PetscCall(PetscOptionsInt("-eps_evsl_dos_nvec","Number of sample vectors for DOS","EPSEVSLSetDOSParameters",i1,&i1,&flg1)); |
| 764 |
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27 | if (flg1) flg = PETSC_TRUE; |
| 765 |
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27 | PetscCall(PetscOptionsInt("-eps_evsl_dos_degree","Polynomial degree used for DOS","EPSEVSLSetDOSParameters",i2,&i2,&flg1)); |
| 766 |
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27 | if (flg1) flg = PETSC_TRUE; |
| 767 |
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27 | PetscCall(PetscOptionsInt("-eps_evsl_dos_steps","Number of Lanczos steps in DOS","EPSEVSLSetDOSParameters",i3,&i3,&flg1)); |
| 768 |
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27 | if (flg1) flg = PETSC_TRUE; |
| 769 |
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27 | PetscCall(PetscOptionsInt("-eps_evsl_dos_npoints","Number of sample points used for DOS","EPSEVSLSetDOSParameters",i4,&i4,&flg1)); |
| 770 |
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27 | if (flg || flg1) PetscCall(EPSEVSLSetDOSParameters(eps,dos,i1,i2,i3,i4)); |
| 771 | |||
| 772 |
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27 | PetscCall(EPSEVSLGetPolParameters(eps,&i1,&th)); |
| 773 |
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27 | PetscCall(PetscOptionsInt("-eps_evsl_pol_max_deg","Maximum degree allowed for the polynomial","EPSEVSLSetPolParameters",i1,&i1,&flg)); |
| 774 |
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27 | PetscCall(PetscOptionsReal("-eps_evsl_pol_threshold","Threshold for accepting polynomial","EPSEVSLSetPolParameters",th,&th,&flg1)); |
| 775 |
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27 | if (flg || flg1) PetscCall(EPSEVSLSetPolParameters(eps,i1,th)); |
| 776 | |||
| 777 |
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27 | PetscOptionsHeadEnd(); |
| 778 |
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9 | PetscFunctionReturn(PETSC_SUCCESS); |
| 779 | } | ||
| 780 | |||
| 781 | 27 | static PetscErrorCode EPSDestroy_EVSL(EPS eps) | |
| 782 | { | ||
| 783 | 27 | EPS_EVSL *ctx = (EPS_EVSL*)eps->data; | |
| 784 | |||
| 785 |
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27 | PetscFunctionBegin; |
| 786 |
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27 | if (ctx->initialized) EVSLFinish(); |
| 787 |
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27 | PetscCall(PetscLayoutDestroy(&ctx->map)); |
| 788 |
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27 | PetscCall(PetscFree(ctx->sli)); |
| 789 |
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27 | PetscCall(PetscFree(eps->data)); |
| 790 |
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27 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSEVSLSetRange_C",NULL)); |
| 791 |
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27 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSEVSLGetRange_C",NULL)); |
| 792 |
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27 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSEVSLSetSlices_C",NULL)); |
| 793 |
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27 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSEVSLGetSlices_C",NULL)); |
| 794 |
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27 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSEVSLSetDOSParameters_C",NULL)); |
| 795 |
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27 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSEVSLGetDOSParameters_C",NULL)); |
| 796 |
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27 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSEVSLSetPolParameters_C",NULL)); |
| 797 |
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27 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSEVSLGetPolParameters_C",NULL)); |
| 798 |
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27 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSEVSLSetDamping_C",NULL)); |
| 799 |
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27 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSEVSLGetDamping_C",NULL)); |
| 800 |
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9 | PetscFunctionReturn(PETSC_SUCCESS); |
| 801 | } | ||
| 802 | |||
| 803 | 36 | static PetscErrorCode EPSReset_EVSL(EPS eps) | |
| 804 | { | ||
| 805 | 36 | EPS_EVSL *ctx = (EPS_EVSL*)eps->data; | |
| 806 | |||
| 807 |
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36 | PetscFunctionBegin; |
| 808 |
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36 | PetscCall(MatDestroy(&ctx->A)); |
| 809 |
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36 | PetscCall(VecDestroy(&ctx->x)); |
| 810 |
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36 | PetscCall(VecDestroy(&ctx->y)); |
| 811 |
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12 | PetscFunctionReturn(PETSC_SUCCESS); |
| 812 | } | ||
| 813 | |||
| 814 | 27 | SLEPC_EXTERN PetscErrorCode EPSCreate_EVSL(EPS eps) | |
| 815 | { | ||
| 816 | 27 | EPS_EVSL *ctx; | |
| 817 | |||
| 818 |
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27 | PetscFunctionBegin; |
| 819 |
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27 | PetscCall(PetscNew(&ctx)); |
| 820 | 27 | eps->data = (void*)ctx; | |
| 821 | |||
| 822 | 27 | ctx->nslices = 0; | |
| 823 | 27 | ctx->lmin = PETSC_MIN_REAL; | |
| 824 | 27 | ctx->lmax = PETSC_MAX_REAL; | |
| 825 | 27 | ctx->dos = EPS_EVSL_DOS_KPM; | |
| 826 | 27 | ctx->nvec = 80; | |
| 827 | 27 | ctx->deg = 300; | |
| 828 | 27 | ctx->steps = 40; | |
| 829 | 27 | ctx->npoints = 200; | |
| 830 | 27 | ctx->max_deg = 10000; | |
| 831 | 27 | ctx->thresh = 0.8; | |
| 832 | 27 | ctx->damping = EPS_EVSL_DAMPING_SIGMA; | |
| 833 | |||
| 834 | 27 | eps->categ = EPS_CATEGORY_OTHER; | |
| 835 | |||
| 836 | 27 | eps->ops->solve = EPSSolve_EVSL; | |
| 837 | 27 | eps->ops->setup = EPSSetUp_EVSL; | |
| 838 | 27 | eps->ops->setupsort = EPSSetUpSort_Basic; | |
| 839 | 27 | eps->ops->setfromoptions = EPSSetFromOptions_EVSL; | |
| 840 | 27 | eps->ops->destroy = EPSDestroy_EVSL; | |
| 841 | 27 | eps->ops->reset = EPSReset_EVSL; | |
| 842 | 27 | eps->ops->view = EPSView_EVSL; | |
| 843 | 27 | eps->ops->backtransform = EPSBackTransform_Default; | |
| 844 | 27 | eps->ops->setdefaultst = EPSSetDefaultST_NoFactor; | |
| 845 | |||
| 846 |
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27 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSEVSLSetRange_C",EPSEVSLSetRange_EVSL)); |
| 847 |
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27 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSEVSLGetRange_C",EPSEVSLGetRange_EVSL)); |
| 848 |
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27 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSEVSLSetSlices_C",EPSEVSLSetSlices_EVSL)); |
| 849 |
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27 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSEVSLGetSlices_C",EPSEVSLGetSlices_EVSL)); |
| 850 |
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27 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSEVSLSetDOSParameters_C",EPSEVSLSetDOSParameters_EVSL)); |
| 851 |
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27 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSEVSLGetDOSParameters_C",EPSEVSLGetDOSParameters_EVSL)); |
| 852 |
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27 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSEVSLSetPolParameters_C",EPSEVSLSetPolParameters_EVSL)); |
| 853 |
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27 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSEVSLGetPolParameters_C",EPSEVSLGetPolParameters_EVSL)); |
| 854 |
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27 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSEVSLSetDamping_C",EPSEVSLSetDamping_EVSL)); |
| 855 |
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27 | PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSEVSLGetDamping_C",EPSEVSLGetDamping_EVSL)); |
| 856 |
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9 | PetscFunctionReturn(PETSC_SUCCESS); |
| 857 | } | ||
| 858 |