1 /* 2 Note: 3 -hratio is the ratio between mesh size of coarse grids and fine grids 4 -ts_rk_dtratio is the ratio between the large stepsize and the small stepsize 5 */ 6 7 static const char help[] = "1D periodic Finite Volume solver in slope-limiter form with semidiscrete time stepping.\n" 8 " advection - Constant coefficient scalar advection\n" 9 " u_t + (a*u)_x = 0\n" 10 " for this toy problem, we choose different meshsizes for different sub-domains (slow-fast-slow), say\n" 11 " hxs = hratio*hxf \n" 12 " where hxs and hxf are the grid spacings for coarse and fine grids respectively.\n" 13 " exact - Exact Riemann solver which usually needs to perform a Newton iteration to connect\n" 14 " the states across shocks and rarefactions\n" 15 " simulation - use reference solution which is generated by smaller time step size to be true solution,\n" 16 " also the reference solution should be generated by user and stored in a binary file.\n" 17 " characteristic - Limit the characteristic variables, this is usually preferred (default)\n" 18 "Several initial conditions can be chosen with -initial N\n\n" 19 "The problem size should be set with -da_grid_x M\n\n"; 20 21 #include <petscts.h> 22 #include <petscdm.h> 23 #include <petscdmda.h> 24 #include <petscdraw.h> 25 #include "finitevolume1d.h" 26 27 static inline PetscReal RangeMod(PetscReal a, PetscReal xmin, PetscReal xmax) { 28 PetscReal range = xmax - xmin; 29 return xmin + PetscFmodReal(range + PetscFmodReal(a, range), range); 30 } 31 32 /* --------------------------------- Advection ----------------------------------- */ 33 typedef struct { 34 PetscReal a; /* advective velocity */ 35 } AdvectCtx; 36 37 static PetscErrorCode PhysicsRiemann_Advect(void *vctx, PetscInt m, const PetscScalar *uL, const PetscScalar *uR, PetscScalar *flux, PetscReal *maxspeed) { 38 AdvectCtx *ctx = (AdvectCtx *)vctx; 39 PetscReal speed; 40 41 PetscFunctionBeginUser; 42 speed = ctx->a; 43 flux[0] = PetscMax(0, speed) * uL[0] + PetscMin(0, speed) * uR[0]; 44 *maxspeed = speed; 45 PetscFunctionReturn(0); 46 } 47 48 static PetscErrorCode PhysicsCharacteristic_Advect(void *vctx, PetscInt m, const PetscScalar *u, PetscScalar *X, PetscScalar *Xi, PetscReal *speeds) { 49 AdvectCtx *ctx = (AdvectCtx *)vctx; 50 51 PetscFunctionBeginUser; 52 X[0] = 1.; 53 Xi[0] = 1.; 54 speeds[0] = ctx->a; 55 PetscFunctionReturn(0); 56 } 57 58 static PetscErrorCode PhysicsSample_Advect(void *vctx, PetscInt initial, FVBCType bctype, PetscReal xmin, PetscReal xmax, PetscReal t, PetscReal x, PetscReal *u) { 59 AdvectCtx *ctx = (AdvectCtx *)vctx; 60 PetscReal a = ctx->a, x0; 61 62 PetscFunctionBeginUser; 63 switch (bctype) { 64 case FVBC_OUTFLOW: x0 = x - a * t; break; 65 case FVBC_PERIODIC: x0 = RangeMod(x - a * t, xmin, xmax); break; 66 default: SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_UNKNOWN_TYPE, "unknown BCType"); 67 } 68 switch (initial) { 69 case 0: u[0] = (x0 < 0) ? 1 : -1; break; 70 case 1: u[0] = (x0 < 0) ? -1 : 1; break; 71 case 2: u[0] = (0 < x0 && x0 < 1) ? 1 : 0; break; 72 case 3: u[0] = PetscSinReal(2 * PETSC_PI * x0); break; 73 case 4: u[0] = PetscAbs(x0); break; 74 case 5: u[0] = (x0 < 0 || x0 > 0.5) ? 0 : PetscSqr(PetscSinReal(2 * PETSC_PI * x0)); break; 75 case 6: u[0] = (x0 < 0) ? 0 : ((x0 < 1) ? x0 : ((x0 < 2) ? 2 - x0 : 0)); break; 76 case 7: u[0] = PetscPowReal(PetscSinReal(PETSC_PI * x0), 10.0); break; 77 default: SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_UNKNOWN_TYPE, "unknown initial condition"); 78 } 79 PetscFunctionReturn(0); 80 } 81 82 static PetscErrorCode PhysicsCreate_Advect(FVCtx *ctx) { 83 AdvectCtx *user; 84 85 PetscFunctionBeginUser; 86 PetscCall(PetscNew(&user)); 87 ctx->physics2.sample2 = PhysicsSample_Advect; 88 ctx->physics2.riemann2 = PhysicsRiemann_Advect; 89 ctx->physics2.characteristic2 = PhysicsCharacteristic_Advect; 90 ctx->physics2.destroy = PhysicsDestroy_SimpleFree; 91 ctx->physics2.user = user; 92 ctx->physics2.dof = 1; 93 PetscCall(PetscStrallocpy("u", &ctx->physics2.fieldname[0])); 94 user->a = 1; 95 PetscOptionsBegin(ctx->comm, ctx->prefix, "Options for advection", ""); 96 { PetscCall(PetscOptionsReal("-physics_advect_a", "Speed", "", user->a, &user->a, NULL)); } 97 PetscOptionsEnd(); 98 PetscFunctionReturn(0); 99 } 100 101 PetscErrorCode FVSample_2WaySplit(FVCtx *ctx, DM da, PetscReal time, Vec U) { 102 PetscScalar *u, *uj, xj, xi; 103 PetscInt i, j, k, dof, xs, xm, Mx; 104 const PetscInt N = 200; 105 PetscReal hs, hf; 106 107 PetscFunctionBeginUser; 108 PetscCheck(ctx->physics2.sample2, PETSC_COMM_SELF, PETSC_ERR_SUP, "Physics has not provided a sampling function"); 109 PetscCall(DMDAGetInfo(da, 0, &Mx, 0, 0, 0, 0, 0, &dof, 0, 0, 0, 0, 0)); 110 PetscCall(DMDAGetCorners(da, &xs, 0, 0, &xm, 0, 0)); 111 PetscCall(DMDAVecGetArray(da, U, &u)); 112 PetscCall(PetscMalloc1(dof, &uj)); 113 hs = (ctx->xmax - ctx->xmin) * 3.0 / 8.0 / ctx->sf; 114 hf = (ctx->xmax - ctx->xmin) / 4.0 / (ctx->fs - ctx->sf); 115 for (i = xs; i < xs + xm; i++) { 116 if (i < ctx->sf) { 117 xi = ctx->xmin + 0.5 * hs + i * hs; 118 /* Integrate over cell i using trapezoid rule with N points. */ 119 for (k = 0; k < dof; k++) u[i * dof + k] = 0; 120 for (j = 0; j < N + 1; j++) { 121 xj = xi + hs * (j - N / 2) / (PetscReal)N; 122 PetscCall((*ctx->physics2.sample2)(ctx->physics2.user, ctx->initial, ctx->bctype, ctx->xmin, ctx->xmax, time, xj, uj)); 123 for (k = 0; k < dof; k++) u[i * dof + k] += ((j == 0 || j == N) ? 0.5 : 1.0) * uj[k] / N; 124 } 125 } else if (i < ctx->fs) { 126 xi = ctx->xmin + ctx->sf * hs + 0.5 * hf + (i - ctx->sf) * hf; 127 /* Integrate over cell i using trapezoid rule with N points. */ 128 for (k = 0; k < dof; k++) u[i * dof + k] = 0; 129 for (j = 0; j < N + 1; j++) { 130 xj = xi + hf * (j - N / 2) / (PetscReal)N; 131 PetscCall((*ctx->physics2.sample2)(ctx->physics2.user, ctx->initial, ctx->bctype, ctx->xmin, ctx->xmax, time, xj, uj)); 132 for (k = 0; k < dof; k++) u[i * dof + k] += ((j == 0 || j == N) ? 0.5 : 1.0) * uj[k] / N; 133 } 134 } else { 135 xi = ctx->xmin + ctx->sf * hs + (ctx->fs - ctx->sf) * hf + 0.5 * hs + (i - ctx->fs) * hs; 136 /* Integrate over cell i using trapezoid rule with N points. */ 137 for (k = 0; k < dof; k++) u[i * dof + k] = 0; 138 for (j = 0; j < N + 1; j++) { 139 xj = xi + hs * (j - N / 2) / (PetscReal)N; 140 PetscCall((*ctx->physics2.sample2)(ctx->physics2.user, ctx->initial, ctx->bctype, ctx->xmin, ctx->xmax, time, xj, uj)); 141 for (k = 0; k < dof; k++) u[i * dof + k] += ((j == 0 || j == N) ? 0.5 : 1.0) * uj[k] / N; 142 } 143 } 144 } 145 PetscCall(DMDAVecRestoreArray(da, U, &u)); 146 PetscCall(PetscFree(uj)); 147 PetscFunctionReturn(0); 148 } 149 150 static PetscErrorCode SolutionErrorNorms_2WaySplit(FVCtx *ctx, DM da, PetscReal t, Vec X, PetscReal *nrm1) { 151 Vec Y; 152 PetscInt i, Mx; 153 const PetscScalar *ptr_X, *ptr_Y; 154 PetscReal hs, hf; 155 156 PetscFunctionBeginUser; 157 PetscCall(VecGetSize(X, &Mx)); 158 PetscCall(VecDuplicate(X, &Y)); 159 PetscCall(FVSample_2WaySplit(ctx, da, t, Y)); 160 hs = (ctx->xmax - ctx->xmin) * 3.0 / 8.0 / ctx->sf; 161 hf = (ctx->xmax - ctx->xmin) / 4.0 / (ctx->fs - ctx->sf); 162 PetscCall(VecGetArrayRead(X, &ptr_X)); 163 PetscCall(VecGetArrayRead(Y, &ptr_Y)); 164 for (i = 0; i < Mx; i++) { 165 if (i < ctx->sf || i > ctx->fs - 1) *nrm1 += hs * PetscAbs(ptr_X[i] - ptr_Y[i]); 166 else *nrm1 += hf * PetscAbs(ptr_X[i] - ptr_Y[i]); 167 } 168 PetscCall(VecRestoreArrayRead(X, &ptr_X)); 169 PetscCall(VecRestoreArrayRead(Y, &ptr_Y)); 170 PetscCall(VecDestroy(&Y)); 171 PetscFunctionReturn(0); 172 } 173 174 PetscErrorCode FVRHSFunction_2WaySplit(TS ts, PetscReal time, Vec X, Vec F, void *vctx) { 175 FVCtx *ctx = (FVCtx *)vctx; 176 PetscInt i, j, k, Mx, dof, xs, xm, sf = ctx->sf, fs = ctx->fs; 177 PetscReal hxf, hxs, cfl_idt = 0; 178 PetscScalar *x, *f, *slope; 179 Vec Xloc; 180 DM da; 181 182 PetscFunctionBeginUser; 183 PetscCall(TSGetDM(ts, &da)); 184 PetscCall(DMGetLocalVector(da, &Xloc)); /* Xloc contains ghost points */ 185 PetscCall(DMDAGetInfo(da, 0, &Mx, 0, 0, 0, 0, 0, &dof, 0, 0, 0, 0, 0)); /* Mx is the number of center points */ 186 hxs = (ctx->xmax - ctx->xmin) * 3.0 / 8.0 / ctx->sf; 187 hxf = (ctx->xmax - ctx->xmin) / 4.0 / (ctx->fs - ctx->sf); 188 PetscCall(DMGlobalToLocalBegin(da, X, INSERT_VALUES, Xloc)); /* X is solution vector which does not contain ghost points */ 189 PetscCall(DMGlobalToLocalEnd(da, X, INSERT_VALUES, Xloc)); 190 191 PetscCall(VecZeroEntries(F)); /* F is the right hand side function corresponds to center points */ 192 193 PetscCall(DMDAVecGetArray(da, Xloc, &x)); 194 PetscCall(DMDAVecGetArray(da, F, &f)); 195 PetscCall(DMDAGetArray(da, PETSC_TRUE, &slope)); /* contains ghost points */ 196 197 PetscCall(DMDAGetCorners(da, &xs, 0, 0, &xm, 0, 0)); 198 199 if (ctx->bctype == FVBC_OUTFLOW) { 200 for (i = xs - 2; i < 0; i++) { 201 for (j = 0; j < dof; j++) x[i * dof + j] = x[j]; 202 } 203 for (i = Mx; i < xs + xm + 2; i++) { 204 for (j = 0; j < dof; j++) x[i * dof + j] = x[(xs + xm - 1) * dof + j]; 205 } 206 } 207 for (i = xs - 1; i < xs + xm + 1; i++) { 208 struct _LimitInfo info; 209 PetscScalar *cjmpL, *cjmpR; 210 /* Determine the right eigenvectors R, where A = R \Lambda R^{-1} */ 211 PetscCall((*ctx->physics2.characteristic2)(ctx->physics2.user, dof, &x[i * dof], ctx->R, ctx->Rinv, ctx->speeds)); 212 /* Evaluate jumps across interfaces (i-1, i) and (i, i+1), put in characteristic basis */ 213 PetscCall(PetscArrayzero(ctx->cjmpLR, 2 * dof)); 214 cjmpL = &ctx->cjmpLR[0]; 215 cjmpR = &ctx->cjmpLR[dof]; 216 for (j = 0; j < dof; j++) { 217 PetscScalar jmpL, jmpR; 218 jmpL = x[(i + 0) * dof + j] - x[(i - 1) * dof + j]; 219 jmpR = x[(i + 1) * dof + j] - x[(i + 0) * dof + j]; 220 for (k = 0; k < dof; k++) { 221 cjmpL[k] += ctx->Rinv[k + j * dof] * jmpL; 222 cjmpR[k] += ctx->Rinv[k + j * dof] * jmpR; 223 } 224 } 225 /* Apply limiter to the left and right characteristic jumps */ 226 info.m = dof; 227 info.hxs = hxs; 228 info.hxf = hxf; 229 (*ctx->limit2)(&info, cjmpL, cjmpR, ctx->sf, ctx->fs, i, ctx->cslope); 230 for (j = 0; j < dof; j++) { 231 PetscScalar tmp = 0; 232 for (k = 0; k < dof; k++) tmp += ctx->R[j + k * dof] * ctx->cslope[k]; 233 slope[i * dof + j] = tmp; 234 } 235 } 236 237 for (i = xs; i < xs + xm + 1; i++) { 238 PetscReal maxspeed; 239 PetscScalar *uL, *uR; 240 uL = &ctx->uLR[0]; 241 uR = &ctx->uLR[dof]; 242 if (i < sf) { /* slow region */ 243 for (j = 0; j < dof; j++) { 244 uL[j] = x[(i - 1) * dof + j] + slope[(i - 1) * dof + j] * hxs / 2; 245 uR[j] = x[(i - 0) * dof + j] - slope[(i - 0) * dof + j] * hxs / 2; 246 } 247 PetscCall((*ctx->physics2.riemann2)(ctx->physics2.user, dof, uL, uR, ctx->flux, &maxspeed)); 248 if (i > xs) { 249 for (j = 0; j < dof; j++) f[(i - 1) * dof + j] -= ctx->flux[j] / hxs; 250 } 251 if (i < xs + xm) { 252 for (j = 0; j < dof; j++) f[i * dof + j] += ctx->flux[j] / hxs; 253 } 254 } else if (i == sf) { /* interface between the slow region and the fast region */ 255 for (j = 0; j < dof; j++) { 256 uL[j] = x[(i - 1) * dof + j] + slope[(i - 1) * dof + j] * hxs / 2; 257 uR[j] = x[(i - 0) * dof + j] - slope[(i - 0) * dof + j] * hxf / 2; 258 } 259 PetscCall((*ctx->physics2.riemann2)(ctx->physics2.user, dof, uL, uR, ctx->flux, &maxspeed)); 260 if (i > xs) { 261 for (j = 0; j < dof; j++) f[(i - 1) * dof + j] -= ctx->flux[j] / hxs; 262 } 263 if (i < xs + xm) { 264 for (j = 0; j < dof; j++) f[i * dof + j] += ctx->flux[j] / hxf; 265 } 266 } else if (i > sf && i < fs) { /* fast region */ 267 for (j = 0; j < dof; j++) { 268 uL[j] = x[(i - 1) * dof + j] + slope[(i - 1) * dof + j] * hxf / 2; 269 uR[j] = x[(i - 0) * dof + j] - slope[(i - 0) * dof + j] * hxf / 2; 270 } 271 PetscCall((*ctx->physics2.riemann2)(ctx->physics2.user, dof, uL, uR, ctx->flux, &maxspeed)); 272 if (i > xs) { 273 for (j = 0; j < dof; j++) f[(i - 1) * dof + j] -= ctx->flux[j] / hxf; 274 } 275 if (i < xs + xm) { 276 for (j = 0; j < dof; j++) f[i * dof + j] += ctx->flux[j] / hxf; 277 } 278 } else if (i == fs) { /* interface between the fast region and the slow region */ 279 for (j = 0; j < dof; j++) { 280 uL[j] = x[(i - 1) * dof + j] + slope[(i - 1) * dof + j] * hxf / 2; 281 uR[j] = x[(i - 0) * dof + j] - slope[(i - 0) * dof + j] * hxs / 2; 282 } 283 PetscCall((*ctx->physics2.riemann2)(ctx->physics2.user, dof, uL, uR, ctx->flux, &maxspeed)); 284 if (i > xs) { 285 for (j = 0; j < dof; j++) f[(i - 1) * dof + j] -= ctx->flux[j] / hxf; 286 } 287 if (i < xs + xm) { 288 for (j = 0; j < dof; j++) f[i * dof + j] += ctx->flux[j] / hxs; 289 } 290 } else { /* slow region */ 291 for (j = 0; j < dof; j++) { 292 uL[j] = x[(i - 1) * dof + j] + slope[(i - 1) * dof + j] * hxs / 2; 293 uR[j] = x[(i - 0) * dof + j] - slope[(i - 0) * dof + j] * hxs / 2; 294 } 295 PetscCall((*ctx->physics2.riemann2)(ctx->physics2.user, dof, uL, uR, ctx->flux, &maxspeed)); 296 cfl_idt = PetscMax(cfl_idt, PetscAbsScalar(maxspeed / hxs)); /* Max allowable value of 1/Delta t */ 297 if (i > xs) { 298 for (j = 0; j < dof; j++) f[(i - 1) * dof + j] -= ctx->flux[j] / hxs; 299 } 300 if (i < xs + xm) { 301 for (j = 0; j < dof; j++) f[i * dof + j] += ctx->flux[j] / hxs; 302 } 303 } 304 } 305 PetscCall(DMDAVecRestoreArray(da, Xloc, &x)); 306 PetscCall(DMDAVecRestoreArray(da, F, &f)); 307 PetscCall(DMDARestoreArray(da, PETSC_TRUE, &slope)); 308 PetscCall(DMRestoreLocalVector(da, &Xloc)); 309 PetscCallMPI(MPI_Allreduce(&cfl_idt, &ctx->cfl_idt, 1, MPIU_SCALAR, MPIU_MAX, PetscObjectComm((PetscObject)da))); 310 if (0) { 311 /* We need to a way to inform the TS of a CFL constraint, this is a debugging fragment */ 312 PetscReal dt, tnow; 313 PetscCall(TSGetTimeStep(ts, &dt)); 314 PetscCall(TSGetTime(ts, &tnow)); 315 if (dt > 0.5 / ctx->cfl_idt) { 316 if (1) { 317 PetscCall(PetscPrintf(ctx->comm, "Stability constraint exceeded at t=%g, dt %g > %g\n", (double)tnow, (double)dt, (double)(0.5 / ctx->cfl_idt))); 318 } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_UNKNOWN_TYPE, "Stability constraint exceeded, %g > %g", (double)dt, (double)(ctx->cfl / ctx->cfl_idt)); 319 } 320 } 321 PetscFunctionReturn(0); 322 } 323 324 /* --------------------------------- Finite Volume Solver for slow components ----------------------------------- */ 325 PetscErrorCode FVRHSFunctionslow_2WaySplit(TS ts, PetscReal time, Vec X, Vec F, void *vctx) { 326 FVCtx *ctx = (FVCtx *)vctx; 327 PetscInt i, j, k, Mx, dof, xs, xm, islow = 0, sf = ctx->sf, fs = ctx->fs, lsbwidth = ctx->lsbwidth, rsbwidth = ctx->rsbwidth; 328 PetscReal hxs, hxf, cfl_idt = 0; 329 PetscScalar *x, *f, *slope; 330 Vec Xloc; 331 DM da; 332 333 PetscFunctionBeginUser; 334 PetscCall(TSGetDM(ts, &da)); 335 PetscCall(DMGetLocalVector(da, &Xloc)); 336 PetscCall(DMDAGetInfo(da, 0, &Mx, 0, 0, 0, 0, 0, &dof, 0, 0, 0, 0, 0)); 337 hxs = (ctx->xmax - ctx->xmin) * 3.0 / 8.0 / ctx->sf; 338 hxf = (ctx->xmax - ctx->xmin) / 4.0 / (ctx->fs - ctx->sf); 339 PetscCall(DMGlobalToLocalBegin(da, X, INSERT_VALUES, Xloc)); 340 PetscCall(DMGlobalToLocalEnd(da, X, INSERT_VALUES, Xloc)); 341 PetscCall(VecZeroEntries(F)); 342 PetscCall(DMDAVecGetArray(da, Xloc, &x)); 343 PetscCall(VecGetArray(F, &f)); 344 PetscCall(DMDAGetArray(da, PETSC_TRUE, &slope)); 345 PetscCall(DMDAGetCorners(da, &xs, 0, 0, &xm, 0, 0)); 346 347 if (ctx->bctype == FVBC_OUTFLOW) { 348 for (i = xs - 2; i < 0; i++) { 349 for (j = 0; j < dof; j++) x[i * dof + j] = x[j]; 350 } 351 for (i = Mx; i < xs + xm + 2; i++) { 352 for (j = 0; j < dof; j++) x[i * dof + j] = x[(xs + xm - 1) * dof + j]; 353 } 354 } 355 for (i = xs - 1; i < xs + xm + 1; i++) { 356 struct _LimitInfo info; 357 PetscScalar *cjmpL, *cjmpR; 358 if (i < sf - lsbwidth + 1 || i > fs + rsbwidth - 2) { /* slow components and the first and last fast components */ 359 /* Determine the right eigenvectors R, where A = R \Lambda R^{-1} */ 360 PetscCall((*ctx->physics2.characteristic2)(ctx->physics2.user, dof, &x[i * dof], ctx->R, ctx->Rinv, ctx->speeds)); 361 /* Evaluate jumps across interfaces (i-1, i) and (i, i+1), put in characteristic basis */ 362 PetscCall(PetscArrayzero(ctx->cjmpLR, 2 * dof)); 363 cjmpL = &ctx->cjmpLR[0]; 364 cjmpR = &ctx->cjmpLR[dof]; 365 for (j = 0; j < dof; j++) { 366 PetscScalar jmpL, jmpR; 367 jmpL = x[(i + 0) * dof + j] - x[(i - 1) * dof + j]; 368 jmpR = x[(i + 1) * dof + j] - x[(i + 0) * dof + j]; 369 for (k = 0; k < dof; k++) { 370 cjmpL[k] += ctx->Rinv[k + j * dof] * jmpL; 371 cjmpR[k] += ctx->Rinv[k + j * dof] * jmpR; 372 } 373 } 374 /* Apply limiter to the left and right characteristic jumps */ 375 info.m = dof; 376 info.hxs = hxs; 377 info.hxf = hxf; 378 (*ctx->limit2)(&info, cjmpL, cjmpR, ctx->sf, ctx->fs, i, ctx->cslope); 379 for (j = 0; j < dof; j++) { 380 PetscScalar tmp = 0; 381 for (k = 0; k < dof; k++) tmp += ctx->R[j + k * dof] * ctx->cslope[k]; 382 slope[i * dof + j] = tmp; 383 } 384 } 385 } 386 387 for (i = xs; i < xs + xm + 1; i++) { 388 PetscReal maxspeed; 389 PetscScalar *uL, *uR; 390 uL = &ctx->uLR[0]; 391 uR = &ctx->uLR[dof]; 392 if (i < sf - lsbwidth) { /* slow region */ 393 for (j = 0; j < dof; j++) { 394 uL[j] = x[(i - 1) * dof + j] + slope[(i - 1) * dof + j] * hxs / 2; 395 uR[j] = x[(i - 0) * dof + j] - slope[(i - 0) * dof + j] * hxs / 2; 396 } 397 PetscCall((*ctx->physics2.riemann2)(ctx->physics2.user, dof, uL, uR, ctx->flux, &maxspeed)); 398 cfl_idt = PetscMax(cfl_idt, PetscAbsScalar(maxspeed / hxs)); /* Max allowable value of 1/Delta t */ 399 if (i > xs) { 400 for (j = 0; j < dof; j++) f[(islow - 1) * dof + j] -= ctx->flux[j] / hxs; 401 } 402 if (i < xs + xm) { 403 for (j = 0; j < dof; j++) f[islow * dof + j] += ctx->flux[j] / hxs; 404 islow++; 405 } 406 } 407 if (i == sf - lsbwidth) { /* interface between the slow region and the fast region */ 408 for (j = 0; j < dof; j++) { 409 uL[j] = x[(i - 1) * dof + j] + slope[(i - 1) * dof + j] * hxs / 2; 410 uR[j] = x[(i - 0) * dof + j] - slope[(i - 0) * dof + j] * hxs / 2; 411 } 412 PetscCall((*ctx->physics2.riemann2)(ctx->physics2.user, dof, uL, uR, ctx->flux, &maxspeed)); 413 if (i > xs) { 414 for (j = 0; j < dof; j++) f[(islow - 1) * dof + j] -= ctx->flux[j] / hxs; 415 } 416 } 417 if (i == fs + rsbwidth) { /* slow region */ 418 for (j = 0; j < dof; j++) { 419 uL[j] = x[(i - 1) * dof + j] + slope[(i - 1) * dof + j] * hxs / 2; 420 uR[j] = x[(i - 0) * dof + j] - slope[(i - 0) * dof + j] * hxs / 2; 421 } 422 PetscCall((*ctx->physics2.riemann2)(ctx->physics2.user, dof, uL, uR, ctx->flux, &maxspeed)); 423 if (i < xs + xm) { 424 for (j = 0; j < dof; j++) f[islow * dof + j] += ctx->flux[j] / hxs; 425 islow++; 426 } 427 } 428 if (i > fs + rsbwidth) { /* slow region */ 429 for (j = 0; j < dof; j++) { 430 uL[j] = x[(i - 1) * dof + j] + slope[(i - 1) * dof + j] * hxs / 2; 431 uR[j] = x[(i - 0) * dof + j] - slope[(i - 0) * dof + j] * hxs / 2; 432 } 433 PetscCall((*ctx->physics2.riemann2)(ctx->physics2.user, dof, uL, uR, ctx->flux, &maxspeed)); 434 if (i > xs) { 435 for (j = 0; j < dof; j++) f[(islow - 1) * dof + j] -= ctx->flux[j] / hxs; 436 } 437 if (i < xs + xm) { 438 for (j = 0; j < dof; j++) f[islow * dof + j] += ctx->flux[j] / hxs; 439 islow++; 440 } 441 } 442 } 443 PetscCall(DMDAVecRestoreArray(da, Xloc, &x)); 444 PetscCall(VecRestoreArray(F, &f)); 445 PetscCall(DMDARestoreArray(da, PETSC_TRUE, &slope)); 446 PetscCall(DMRestoreLocalVector(da, &Xloc)); 447 PetscCallMPI(MPI_Allreduce(&cfl_idt, &ctx->cfl_idt, 1, MPIU_SCALAR, MPIU_MAX, PetscObjectComm((PetscObject)da))); 448 PetscFunctionReturn(0); 449 } 450 451 PetscErrorCode FVRHSFunctionslowbuffer_2WaySplit(TS ts, PetscReal time, Vec X, Vec F, void *vctx) { 452 FVCtx *ctx = (FVCtx *)vctx; 453 PetscInt i, j, k, Mx, dof, xs, xm, islow = 0, sf = ctx->sf, fs = ctx->fs, lsbwidth = ctx->lsbwidth, rsbwidth = ctx->rsbwidth; 454 PetscReal hxs, hxf; 455 PetscScalar *x, *f, *slope; 456 Vec Xloc; 457 DM da; 458 459 PetscFunctionBeginUser; 460 PetscCall(TSGetDM(ts, &da)); 461 PetscCall(DMGetLocalVector(da, &Xloc)); 462 PetscCall(DMDAGetInfo(da, 0, &Mx, 0, 0, 0, 0, 0, &dof, 0, 0, 0, 0, 0)); 463 hxs = (ctx->xmax - ctx->xmin) * 3.0 / 8.0 / ctx->sf; 464 hxf = (ctx->xmax - ctx->xmin) / 4.0 / (ctx->fs - ctx->sf); 465 PetscCall(DMGlobalToLocalBegin(da, X, INSERT_VALUES, Xloc)); 466 PetscCall(DMGlobalToLocalEnd(da, X, INSERT_VALUES, Xloc)); 467 PetscCall(VecZeroEntries(F)); 468 PetscCall(DMDAVecGetArray(da, Xloc, &x)); 469 PetscCall(VecGetArray(F, &f)); 470 PetscCall(DMDAGetArray(da, PETSC_TRUE, &slope)); 471 PetscCall(DMDAGetCorners(da, &xs, 0, 0, &xm, 0, 0)); 472 473 if (ctx->bctype == FVBC_OUTFLOW) { 474 for (i = xs - 2; i < 0; i++) { 475 for (j = 0; j < dof; j++) x[i * dof + j] = x[j]; 476 } 477 for (i = Mx; i < xs + xm + 2; i++) { 478 for (j = 0; j < dof; j++) x[i * dof + j] = x[(xs + xm - 1) * dof + j]; 479 } 480 } 481 for (i = xs - 1; i < xs + xm + 1; i++) { 482 struct _LimitInfo info; 483 PetscScalar *cjmpL, *cjmpR; 484 if ((i > sf - lsbwidth - 2 && i < sf + 1) || (i > fs - 2 && i < fs + rsbwidth + 1)) { 485 /* Determine the right eigenvectors R, where A = R \Lambda R^{-1} */ 486 PetscCall((*ctx->physics2.characteristic2)(ctx->physics2.user, dof, &x[i * dof], ctx->R, ctx->Rinv, ctx->speeds)); 487 /* Evaluate jumps across interfaces (i-1, i) and (i, i+1), put in characteristic basis */ 488 PetscCall(PetscArrayzero(ctx->cjmpLR, 2 * dof)); 489 cjmpL = &ctx->cjmpLR[0]; 490 cjmpR = &ctx->cjmpLR[dof]; 491 for (j = 0; j < dof; j++) { 492 PetscScalar jmpL, jmpR; 493 jmpL = x[(i + 0) * dof + j] - x[(i - 1) * dof + j]; 494 jmpR = x[(i + 1) * dof + j] - x[(i + 0) * dof + j]; 495 for (k = 0; k < dof; k++) { 496 cjmpL[k] += ctx->Rinv[k + j * dof] * jmpL; 497 cjmpR[k] += ctx->Rinv[k + j * dof] * jmpR; 498 } 499 } 500 /* Apply limiter to the left and right characteristic jumps */ 501 info.m = dof; 502 info.hxs = hxs; 503 info.hxf = hxf; 504 (*ctx->limit2)(&info, cjmpL, cjmpR, ctx->sf, ctx->fs, i, ctx->cslope); 505 for (j = 0; j < dof; j++) { 506 PetscScalar tmp = 0; 507 for (k = 0; k < dof; k++) tmp += ctx->R[j + k * dof] * ctx->cslope[k]; 508 slope[i * dof + j] = tmp; 509 } 510 } 511 } 512 513 for (i = xs; i < xs + xm + 1; i++) { 514 PetscReal maxspeed; 515 PetscScalar *uL, *uR; 516 uL = &ctx->uLR[0]; 517 uR = &ctx->uLR[dof]; 518 if (i == sf - lsbwidth) { 519 for (j = 0; j < dof; j++) { 520 uL[j] = x[(i - 1) * dof + j] + slope[(i - 1) * dof + j] * hxs / 2; 521 uR[j] = x[(i - 0) * dof + j] - slope[(i - 0) * dof + j] * hxs / 2; 522 } 523 PetscCall((*ctx->physics2.riemann2)(ctx->physics2.user, dof, uL, uR, ctx->flux, &maxspeed)); 524 if (i < xs + xm) { 525 for (j = 0; j < dof; j++) f[islow * dof + j] += ctx->flux[j] / hxs; 526 islow++; 527 } 528 } 529 if (i > sf - lsbwidth && i < sf) { 530 for (j = 0; j < dof; j++) { 531 uL[j] = x[(i - 1) * dof + j] + slope[(i - 1) * dof + j] * hxs / 2; 532 uR[j] = x[(i - 0) * dof + j] - slope[(i - 0) * dof + j] * hxs / 2; 533 } 534 PetscCall((*ctx->physics2.riemann2)(ctx->physics2.user, dof, uL, uR, ctx->flux, &maxspeed)); 535 if (i > xs) { 536 for (j = 0; j < dof; j++) f[(islow - 1) * dof + j] -= ctx->flux[j] / hxs; 537 } 538 if (i < xs + xm) { 539 for (j = 0; j < dof; j++) f[islow * dof + j] += ctx->flux[j] / hxs; 540 islow++; 541 } 542 } 543 if (i == sf) { /* interface between the slow region and the fast region */ 544 for (j = 0; j < dof; j++) { 545 uL[j] = x[(i - 1) * dof + j] + slope[(i - 1) * dof + j] * hxs / 2; 546 uR[j] = x[(i - 0) * dof + j] - slope[(i - 0) * dof + j] * hxf / 2; 547 } 548 PetscCall((*ctx->physics2.riemann2)(ctx->physics2.user, dof, uL, uR, ctx->flux, &maxspeed)); 549 if (i > xs) { 550 for (j = 0; j < dof; j++) f[(islow - 1) * dof + j] -= ctx->flux[j] / hxs; 551 } 552 } 553 if (i == fs) { /* interface between the fast region and the slow region */ 554 for (j = 0; j < dof; j++) { 555 uL[j] = x[(i - 1) * dof + j] + slope[(i - 1) * dof + j] * hxf / 2; 556 uR[j] = x[(i - 0) * dof + j] - slope[(i - 0) * dof + j] * hxs / 2; 557 } 558 PetscCall((*ctx->physics2.riemann2)(ctx->physics2.user, dof, uL, uR, ctx->flux, &maxspeed)); 559 if (i < xs + xm) { 560 for (j = 0; j < dof; j++) f[islow * dof + j] += ctx->flux[j] / hxs; 561 islow++; 562 } 563 } 564 if (i > fs && i < fs + rsbwidth) { 565 for (j = 0; j < dof; j++) { 566 uL[j] = x[(i - 1) * dof + j] + slope[(i - 1) * dof + j] * hxs / 2; 567 uR[j] = x[(i - 0) * dof + j] - slope[(i - 0) * dof + j] * hxs / 2; 568 } 569 PetscCall((*ctx->physics2.riemann2)(ctx->physics2.user, dof, uL, uR, ctx->flux, &maxspeed)); 570 if (i > xs) { 571 for (j = 0; j < dof; j++) f[(islow - 1) * dof + j] -= ctx->flux[j] / hxs; 572 } 573 if (i < xs + xm) { 574 for (j = 0; j < dof; j++) f[islow * dof + j] += ctx->flux[j] / hxs; 575 islow++; 576 } 577 } 578 if (i == fs + rsbwidth) { 579 for (j = 0; j < dof; j++) { 580 uL[j] = x[(i - 1) * dof + j] + slope[(i - 1) * dof + j] * hxs / 2; 581 uR[j] = x[(i - 0) * dof + j] - slope[(i - 0) * dof + j] * hxs / 2; 582 } 583 PetscCall((*ctx->physics2.riemann2)(ctx->physics2.user, dof, uL, uR, ctx->flux, &maxspeed)); 584 if (i > xs) { 585 for (j = 0; j < dof; j++) f[(islow - 1) * dof + j] -= ctx->flux[j] / hxs; 586 } 587 } 588 } 589 PetscCall(DMDAVecRestoreArray(da, Xloc, &x)); 590 PetscCall(VecRestoreArray(F, &f)); 591 PetscCall(DMDARestoreArray(da, PETSC_TRUE, &slope)); 592 PetscCall(DMRestoreLocalVector(da, &Xloc)); 593 PetscFunctionReturn(0); 594 } 595 596 /* --------------------------------- Finite Volume Solver for fast parts ----------------------------------- */ 597 PetscErrorCode FVRHSFunctionfast_2WaySplit(TS ts, PetscReal time, Vec X, Vec F, void *vctx) { 598 FVCtx *ctx = (FVCtx *)vctx; 599 PetscInt i, j, k, Mx, dof, xs, xm, ifast = 0, sf = ctx->sf, fs = ctx->fs; 600 PetscReal hxs, hxf; 601 PetscScalar *x, *f, *slope; 602 Vec Xloc; 603 DM da; 604 605 PetscFunctionBeginUser; 606 PetscCall(TSGetDM(ts, &da)); 607 PetscCall(DMGetLocalVector(da, &Xloc)); 608 PetscCall(DMDAGetInfo(da, 0, &Mx, 0, 0, 0, 0, 0, &dof, 0, 0, 0, 0, 0)); 609 hxs = (ctx->xmax - ctx->xmin) * 3.0 / 8.0 / ctx->sf; 610 hxf = (ctx->xmax - ctx->xmin) / 4.0 / (ctx->fs - ctx->sf); 611 PetscCall(DMGlobalToLocalBegin(da, X, INSERT_VALUES, Xloc)); 612 PetscCall(DMGlobalToLocalEnd(da, X, INSERT_VALUES, Xloc)); 613 PetscCall(VecZeroEntries(F)); 614 PetscCall(DMDAVecGetArray(da, Xloc, &x)); 615 PetscCall(VecGetArray(F, &f)); 616 PetscCall(DMDAGetArray(da, PETSC_TRUE, &slope)); 617 PetscCall(DMDAGetCorners(da, &xs, 0, 0, &xm, 0, 0)); 618 619 if (ctx->bctype == FVBC_OUTFLOW) { 620 for (i = xs - 2; i < 0; i++) { 621 for (j = 0; j < dof; j++) x[i * dof + j] = x[j]; 622 } 623 for (i = Mx; i < xs + xm + 2; i++) { 624 for (j = 0; j < dof; j++) x[i * dof + j] = x[(xs + xm - 1) * dof + j]; 625 } 626 } 627 for (i = xs - 1; i < xs + xm + 1; i++) { 628 struct _LimitInfo info; 629 PetscScalar *cjmpL, *cjmpR; 630 if (i > sf - 2 && i < fs + 1) { 631 PetscCall((*ctx->physics2.characteristic2)(ctx->physics2.user, dof, &x[i * dof], ctx->R, ctx->Rinv, ctx->speeds)); 632 PetscCall(PetscArrayzero(ctx->cjmpLR, 2 * dof)); 633 cjmpL = &ctx->cjmpLR[0]; 634 cjmpR = &ctx->cjmpLR[dof]; 635 for (j = 0; j < dof; j++) { 636 PetscScalar jmpL, jmpR; 637 jmpL = x[(i + 0) * dof + j] - x[(i - 1) * dof + j]; 638 jmpR = x[(i + 1) * dof + j] - x[(i + 0) * dof + j]; 639 for (k = 0; k < dof; k++) { 640 cjmpL[k] += ctx->Rinv[k + j * dof] * jmpL; 641 cjmpR[k] += ctx->Rinv[k + j * dof] * jmpR; 642 } 643 } 644 /* Apply limiter to the left and right characteristic jumps */ 645 info.m = dof; 646 info.hxs = hxs; 647 info.hxf = hxf; 648 (*ctx->limit2)(&info, cjmpL, cjmpR, ctx->sf, ctx->fs, i, ctx->cslope); 649 for (j = 0; j < dof; j++) { 650 PetscScalar tmp = 0; 651 for (k = 0; k < dof; k++) tmp += ctx->R[j + k * dof] * ctx->cslope[k]; 652 slope[i * dof + j] = tmp; 653 } 654 } 655 } 656 657 for (i = xs; i < xs + xm + 1; i++) { 658 PetscReal maxspeed; 659 PetscScalar *uL, *uR; 660 uL = &ctx->uLR[0]; 661 uR = &ctx->uLR[dof]; 662 if (i == sf) { /* interface between the slow region and the fast region */ 663 for (j = 0; j < dof; j++) { 664 uL[j] = x[(i - 1) * dof + j] + slope[(i - 1) * dof + j] * hxs / 2; 665 uR[j] = x[(i - 0) * dof + j] - slope[(i - 0) * dof + j] * hxf / 2; 666 } 667 PetscCall((*ctx->physics2.riemann2)(ctx->physics2.user, dof, uL, uR, ctx->flux, &maxspeed)); 668 if (i < xs + xm) { 669 for (j = 0; j < dof; j++) f[ifast * dof + j] += ctx->flux[j] / hxf; 670 ifast++; 671 } 672 } 673 if (i > sf && i < fs) { /* fast region */ 674 for (j = 0; j < dof; j++) { 675 uL[j] = x[(i - 1) * dof + j] + slope[(i - 1) * dof + j] * hxf / 2; 676 uR[j] = x[(i - 0) * dof + j] - slope[(i - 0) * dof + j] * hxf / 2; 677 } 678 PetscCall((*ctx->physics2.riemann2)(ctx->physics2.user, dof, uL, uR, ctx->flux, &maxspeed)); 679 if (i > xs) { 680 for (j = 0; j < dof; j++) f[(ifast - 1) * dof + j] -= ctx->flux[j] / hxf; 681 } 682 if (i < xs + xm) { 683 for (j = 0; j < dof; j++) f[ifast * dof + j] += ctx->flux[j] / hxf; 684 ifast++; 685 } 686 } 687 if (i == fs) { /* interface between the fast region and the slow region */ 688 for (j = 0; j < dof; j++) { 689 uL[j] = x[(i - 1) * dof + j] + slope[(i - 1) * dof + j] * hxf / 2; 690 uR[j] = x[(i - 0) * dof + j] - slope[(i - 0) * dof + j] * hxs / 2; 691 } 692 PetscCall((*ctx->physics2.riemann2)(ctx->physics2.user, dof, uL, uR, ctx->flux, &maxspeed)); 693 if (i > xs) { 694 for (j = 0; j < dof; j++) f[(ifast - 1) * dof + j] -= ctx->flux[j] / hxf; 695 } 696 } 697 } 698 PetscCall(DMDAVecRestoreArray(da, Xloc, &x)); 699 PetscCall(VecRestoreArray(F, &f)); 700 PetscCall(DMDARestoreArray(da, PETSC_TRUE, &slope)); 701 PetscCall(DMRestoreLocalVector(da, &Xloc)); 702 PetscFunctionReturn(0); 703 } 704 705 int main(int argc, char *argv[]) { 706 char lname[256] = "mc", physname[256] = "advect", final_fname[256] = "solution.m"; 707 PetscFunctionList limiters = 0, physics = 0; 708 MPI_Comm comm; 709 TS ts; 710 DM da; 711 Vec X, X0, R; 712 FVCtx ctx; 713 PetscInt i, k, dof, xs, xm, Mx, draw = 0, count_slow, count_fast, islow = 0, ifast = 0, islowbuffer = 0, *index_slow, *index_fast, *index_slowbuffer; 714 PetscBool view_final = PETSC_FALSE; 715 PetscReal ptime; 716 717 PetscFunctionBeginUser; 718 PetscCall(PetscInitialize(&argc, &argv, 0, help)); 719 comm = PETSC_COMM_WORLD; 720 PetscCall(PetscMemzero(&ctx, sizeof(ctx))); 721 722 /* Register limiters to be available on the command line */ 723 PetscCall(PetscFunctionListAdd(&limiters, "upwind", Limit2_Upwind)); 724 PetscCall(PetscFunctionListAdd(&limiters, "lax-wendroff", Limit2_LaxWendroff)); 725 PetscCall(PetscFunctionListAdd(&limiters, "beam-warming", Limit2_BeamWarming)); 726 PetscCall(PetscFunctionListAdd(&limiters, "fromm", Limit2_Fromm)); 727 PetscCall(PetscFunctionListAdd(&limiters, "minmod", Limit2_Minmod)); 728 PetscCall(PetscFunctionListAdd(&limiters, "superbee", Limit2_Superbee)); 729 PetscCall(PetscFunctionListAdd(&limiters, "mc", Limit2_MC)); 730 PetscCall(PetscFunctionListAdd(&limiters, "koren3", Limit2_Koren3)); 731 732 /* Register physical models to be available on the command line */ 733 PetscCall(PetscFunctionListAdd(&physics, "advect", PhysicsCreate_Advect)); 734 735 ctx.comm = comm; 736 ctx.cfl = 0.9; 737 ctx.bctype = FVBC_PERIODIC; 738 ctx.xmin = -1.0; 739 ctx.xmax = 1.0; 740 PetscOptionsBegin(comm, NULL, "Finite Volume solver options", ""); 741 PetscCall(PetscOptionsReal("-xmin", "X min", "", ctx.xmin, &ctx.xmin, NULL)); 742 PetscCall(PetscOptionsReal("-xmax", "X max", "", ctx.xmax, &ctx.xmax, NULL)); 743 PetscCall(PetscOptionsFList("-limit", "Name of flux imiter to use", "", limiters, lname, lname, sizeof(lname), NULL)); 744 PetscCall(PetscOptionsInt("-draw", "Draw solution vector, bitwise OR of (1=initial,2=final,4=final error)", "", draw, &draw, NULL)); 745 PetscCall(PetscOptionsString("-view_final", "Write final solution in ASCII MATLAB format to given file name", "", final_fname, final_fname, sizeof(final_fname), &view_final)); 746 PetscCall(PetscOptionsInt("-initial", "Initial condition (depends on the physics)", "", ctx.initial, &ctx.initial, NULL)); 747 PetscCall(PetscOptionsBool("-exact", "Compare errors with exact solution", "", ctx.exact, &ctx.exact, NULL)); 748 PetscCall(PetscOptionsBool("-simulation", "Compare errors with reference solution", "", ctx.simulation, &ctx.simulation, NULL)); 749 PetscCall(PetscOptionsReal("-cfl", "CFL number to time step at", "", ctx.cfl, &ctx.cfl, NULL)); 750 PetscCall(PetscOptionsEnum("-bc_type", "Boundary condition", "", FVBCTypes, (PetscEnum)ctx.bctype, (PetscEnum *)&ctx.bctype, NULL)); 751 PetscCall(PetscOptionsInt("-hratio", "Spacing ratio", "", ctx.hratio, &ctx.hratio, NULL)); 752 PetscOptionsEnd(); 753 754 /* Choose the limiter from the list of registered limiters */ 755 PetscCall(PetscFunctionListFind(limiters, lname, &ctx.limit2)); 756 PetscCheck(ctx.limit2, PETSC_COMM_SELF, PETSC_ERR_ARG_UNKNOWN_TYPE, "Limiter '%s' not found", lname); 757 758 /* Choose the physics from the list of registered models */ 759 { 760 PetscErrorCode (*r)(FVCtx *); 761 PetscCall(PetscFunctionListFind(physics, physname, &r)); 762 PetscCheck(r, PETSC_COMM_SELF, PETSC_ERR_ARG_UNKNOWN_TYPE, "Physics '%s' not found", physname); 763 /* Create the physics, will set the number of fields and their names */ 764 PetscCall((*r)(&ctx)); 765 } 766 767 /* Create a DMDA to manage the parallel grid */ 768 PetscCall(DMDACreate1d(comm, DM_BOUNDARY_PERIODIC, 50, ctx.physics2.dof, 2, NULL, &da)); 769 PetscCall(DMSetFromOptions(da)); 770 PetscCall(DMSetUp(da)); 771 /* Inform the DMDA of the field names provided by the physics. */ 772 /* The names will be shown in the title bars when run with -ts_monitor_draw_solution */ 773 for (i = 0; i < ctx.physics2.dof; i++) PetscCall(DMDASetFieldName(da, i, ctx.physics2.fieldname[i])); 774 PetscCall(DMDAGetInfo(da, 0, &Mx, 0, 0, 0, 0, 0, &dof, 0, 0, 0, 0, 0)); 775 PetscCall(DMDAGetCorners(da, &xs, 0, 0, &xm, 0, 0)); 776 777 /* Set coordinates of cell centers */ 778 PetscCall(DMDASetUniformCoordinates(da, ctx.xmin + 0.5 * (ctx.xmax - ctx.xmin) / Mx, ctx.xmax + 0.5 * (ctx.xmax - ctx.xmin) / Mx, 0, 0, 0, 0)); 779 780 /* Allocate work space for the Finite Volume solver (so it doesn't have to be reallocated on each function evaluation) */ 781 PetscCall(PetscMalloc4(dof * dof, &ctx.R, dof * dof, &ctx.Rinv, 2 * dof, &ctx.cjmpLR, 1 * dof, &ctx.cslope)); 782 PetscCall(PetscMalloc3(2 * dof, &ctx.uLR, dof, &ctx.flux, dof, &ctx.speeds)); 783 784 /* Create a vector to store the solution and to save the initial state */ 785 PetscCall(DMCreateGlobalVector(da, &X)); 786 PetscCall(VecDuplicate(X, &X0)); 787 PetscCall(VecDuplicate(X, &R)); 788 789 /* create index for slow parts and fast parts, 790 count_slow + count_fast = Mx, counts_slow*hs = 0.5, counts_fast*hf = 0.5 */ 791 count_slow = Mx / (1.0 + ctx.hratio / 3.0); 792 PetscCheck(count_slow % 2 == 0, PETSC_COMM_WORLD, PETSC_ERR_USER, "Please adjust grid size Mx (-da_grid_x) and hratio (-hratio) so that Mx/(1+hartio/3) is even"); 793 count_fast = Mx - count_slow; 794 ctx.sf = count_slow / 2; 795 ctx.fs = ctx.sf + count_fast; 796 PetscCall(PetscMalloc1(xm * dof, &index_slow)); 797 PetscCall(PetscMalloc1(xm * dof, &index_fast)); 798 PetscCall(PetscMalloc1(6 * dof, &index_slowbuffer)); 799 if (((AdvectCtx *)ctx.physics2.user)->a > 0) { 800 ctx.lsbwidth = 2; 801 ctx.rsbwidth = 4; 802 } else { 803 ctx.lsbwidth = 4; 804 ctx.rsbwidth = 2; 805 } 806 for (i = xs; i < xs + xm; i++) { 807 if (i < ctx.sf - ctx.lsbwidth || i > ctx.fs + ctx.rsbwidth - 1) 808 for (k = 0; k < dof; k++) index_slow[islow++] = i * dof + k; 809 else if ((i >= ctx.sf - ctx.lsbwidth && i < ctx.sf) || (i > ctx.fs - 1 && i <= ctx.fs + ctx.rsbwidth - 1)) 810 for (k = 0; k < dof; k++) index_slowbuffer[islowbuffer++] = i * dof + k; 811 else 812 for (k = 0; k < dof; k++) index_fast[ifast++] = i * dof + k; 813 } 814 PetscCall(ISCreateGeneral(PETSC_COMM_WORLD, islow, index_slow, PETSC_COPY_VALUES, &ctx.iss)); 815 PetscCall(ISCreateGeneral(PETSC_COMM_WORLD, ifast, index_fast, PETSC_COPY_VALUES, &ctx.isf)); 816 PetscCall(ISCreateGeneral(PETSC_COMM_WORLD, islowbuffer, index_slowbuffer, PETSC_COPY_VALUES, &ctx.issb)); 817 818 /* Create a time-stepping object */ 819 PetscCall(TSCreate(comm, &ts)); 820 PetscCall(TSSetDM(ts, da)); 821 PetscCall(TSSetRHSFunction(ts, R, FVRHSFunction_2WaySplit, &ctx)); 822 PetscCall(TSRHSSplitSetIS(ts, "slow", ctx.iss)); 823 PetscCall(TSRHSSplitSetIS(ts, "slowbuffer", ctx.issb)); 824 PetscCall(TSRHSSplitSetIS(ts, "fast", ctx.isf)); 825 PetscCall(TSRHSSplitSetRHSFunction(ts, "slow", NULL, FVRHSFunctionslow_2WaySplit, &ctx)); 826 PetscCall(TSRHSSplitSetRHSFunction(ts, "fast", NULL, FVRHSFunctionfast_2WaySplit, &ctx)); 827 PetscCall(TSRHSSplitSetRHSFunction(ts, "slowbuffer", NULL, FVRHSFunctionslowbuffer_2WaySplit, &ctx)); 828 829 PetscCall(TSSetType(ts, TSSSP)); 830 /*PetscCall(TSSetType(ts,TSMPRK));*/ 831 PetscCall(TSSetMaxTime(ts, 10)); 832 PetscCall(TSSetExactFinalTime(ts, TS_EXACTFINALTIME_STEPOVER)); 833 834 /* Compute initial conditions and starting time step */ 835 PetscCall(FVSample_2WaySplit(&ctx, da, 0, X0)); 836 PetscCall(FVRHSFunction_2WaySplit(ts, 0, X0, X, (void *)&ctx)); /* Initial function evaluation, only used to determine max speed */ 837 PetscCall(VecCopy(X0, X)); /* The function value was not used so we set X=X0 again */ 838 PetscCall(TSSetTimeStep(ts, ctx.cfl / ctx.cfl_idt)); 839 PetscCall(TSSetFromOptions(ts)); /* Take runtime options */ 840 PetscCall(SolutionStatsView(da, X, PETSC_VIEWER_STDOUT_WORLD)); 841 { 842 PetscInt steps; 843 PetscScalar mass_initial, mass_final, mass_difference, mass_differenceg; 844 const PetscScalar *ptr_X, *ptr_X0; 845 const PetscReal hs = (ctx.xmax - ctx.xmin) * 3.0 / 4.0 / count_slow; 846 const PetscReal hf = (ctx.xmax - ctx.xmin) / 4.0 / count_fast; 847 848 PetscCall(TSSolve(ts, X)); 849 PetscCall(TSGetSolveTime(ts, &ptime)); 850 PetscCall(TSGetStepNumber(ts, &steps)); 851 /* calculate the total mass at initial time and final time */ 852 mass_initial = 0.0; 853 mass_final = 0.0; 854 PetscCall(DMDAVecGetArrayRead(da, X0, (void *)&ptr_X0)); 855 PetscCall(DMDAVecGetArrayRead(da, X, (void *)&ptr_X)); 856 for (i = xs; i < xs + xm; i++) { 857 if (i < ctx.sf || i > ctx.fs - 1) { 858 for (k = 0; k < dof; k++) { 859 mass_initial = mass_initial + hs * ptr_X0[i * dof + k]; 860 mass_final = mass_final + hs * ptr_X[i * dof + k]; 861 } 862 } else { 863 for (k = 0; k < dof; k++) { 864 mass_initial = mass_initial + hf * ptr_X0[i * dof + k]; 865 mass_final = mass_final + hf * ptr_X[i * dof + k]; 866 } 867 } 868 } 869 PetscCall(DMDAVecRestoreArrayRead(da, X0, (void *)&ptr_X0)); 870 PetscCall(DMDAVecRestoreArrayRead(da, X, (void *)&ptr_X)); 871 mass_difference = mass_final - mass_initial; 872 PetscCallMPI(MPI_Allreduce(&mass_difference, &mass_differenceg, 1, MPIU_SCALAR, MPIU_SUM, comm)); 873 PetscCall(PetscPrintf(comm, "Mass difference %g\n", (double)mass_differenceg)); 874 PetscCall(PetscPrintf(comm, "Final time %g, steps %" PetscInt_FMT "\n", (double)ptime, steps)); 875 PetscCall(PetscPrintf(comm, "Maximum allowable stepsize according to CFL %g\n", (double)(1.0 / ctx.cfl_idt))); 876 if (ctx.exact) { 877 PetscReal nrm1 = 0; 878 PetscCall(SolutionErrorNorms_2WaySplit(&ctx, da, ptime, X, &nrm1)); 879 PetscCall(PetscPrintf(comm, "Error ||x-x_e||_1 %g\n", (double)nrm1)); 880 } 881 if (ctx.simulation) { 882 PetscReal nrm1 = 0; 883 PetscViewer fd; 884 char filename[PETSC_MAX_PATH_LEN] = "binaryoutput"; 885 Vec XR; 886 PetscBool flg; 887 const PetscScalar *ptr_XR; 888 PetscCall(PetscOptionsGetString(NULL, NULL, "-f", filename, sizeof(filename), &flg)); 889 PetscCheck(flg, PETSC_COMM_WORLD, PETSC_ERR_USER, "Must indicate binary file with the -f option"); 890 PetscCall(PetscViewerBinaryOpen(PETSC_COMM_WORLD, filename, FILE_MODE_READ, &fd)); 891 PetscCall(VecDuplicate(X0, &XR)); 892 PetscCall(VecLoad(XR, fd)); 893 PetscCall(PetscViewerDestroy(&fd)); 894 PetscCall(VecGetArrayRead(X, &ptr_X)); 895 PetscCall(VecGetArrayRead(XR, &ptr_XR)); 896 for (i = xs; i < xs + xm; i++) { 897 if (i < ctx.sf || i > ctx.fs - 1) 898 for (k = 0; k < dof; k++) nrm1 = nrm1 + hs * PetscAbs(ptr_X[i * dof + k] - ptr_XR[i * dof + k]); 899 else 900 for (k = 0; k < dof; k++) nrm1 = nrm1 + hf * PetscAbs(ptr_X[i * dof + k] - ptr_XR[i * dof + k]); 901 } 902 PetscCall(VecRestoreArrayRead(X, &ptr_X)); 903 PetscCall(VecRestoreArrayRead(XR, &ptr_XR)); 904 PetscCall(PetscPrintf(comm, "Error ||x-x_e||_1 %g\n", (double)nrm1)); 905 PetscCall(VecDestroy(&XR)); 906 } 907 } 908 909 PetscCall(SolutionStatsView(da, X, PETSC_VIEWER_STDOUT_WORLD)); 910 if (draw & 0x1) PetscCall(VecView(X0, PETSC_VIEWER_DRAW_WORLD)); 911 if (draw & 0x2) PetscCall(VecView(X, PETSC_VIEWER_DRAW_WORLD)); 912 if (draw & 0x4) { 913 Vec Y; 914 PetscCall(VecDuplicate(X, &Y)); 915 PetscCall(FVSample_2WaySplit(&ctx, da, ptime, Y)); 916 PetscCall(VecAYPX(Y, -1, X)); 917 PetscCall(VecView(Y, PETSC_VIEWER_DRAW_WORLD)); 918 PetscCall(VecDestroy(&Y)); 919 } 920 921 if (view_final) { 922 PetscViewer viewer; 923 PetscCall(PetscViewerASCIIOpen(PETSC_COMM_WORLD, final_fname, &viewer)); 924 PetscCall(PetscViewerPushFormat(viewer, PETSC_VIEWER_ASCII_MATLAB)); 925 PetscCall(VecView(X, viewer)); 926 PetscCall(PetscViewerPopFormat(viewer)); 927 PetscCall(PetscViewerDestroy(&viewer)); 928 } 929 930 /* Clean up */ 931 PetscCall((*ctx.physics2.destroy)(ctx.physics2.user)); 932 for (i = 0; i < ctx.physics2.dof; i++) PetscCall(PetscFree(ctx.physics2.fieldname[i])); 933 PetscCall(PetscFree4(ctx.R, ctx.Rinv, ctx.cjmpLR, ctx.cslope)); 934 PetscCall(PetscFree3(ctx.uLR, ctx.flux, ctx.speeds)); 935 PetscCall(VecDestroy(&X)); 936 PetscCall(VecDestroy(&X0)); 937 PetscCall(VecDestroy(&R)); 938 PetscCall(DMDestroy(&da)); 939 PetscCall(TSDestroy(&ts)); 940 PetscCall(ISDestroy(&ctx.iss)); 941 PetscCall(ISDestroy(&ctx.isf)); 942 PetscCall(ISDestroy(&ctx.issb)); 943 PetscCall(PetscFree(index_slow)); 944 PetscCall(PetscFree(index_fast)); 945 PetscCall(PetscFree(index_slowbuffer)); 946 PetscCall(PetscFunctionListDestroy(&limiters)); 947 PetscCall(PetscFunctionListDestroy(&physics)); 948 PetscCall(PetscFinalize()); 949 return 0; 950 } 951 952 /*TEST 953 954 build: 955 requires: !complex 956 depends: finitevolume1d.c 957 958 test: 959 suffix: 1 960 args: -da_grid_x 60 -initial 7 -xmin -1 -xmax 1 -hratio 2 -limit mc -ts_dt 0.025 -ts_max_steps 24 -ts_type mprk -ts_mprk_type 2a22 961 962 test: 963 suffix: 2 964 args: -da_grid_x 60 -initial 7 -xmin -1 -xmax 1 -hratio 2 -limit mc -ts_dt 0.025 -ts_max_steps 24 -ts_type mprk -ts_mprk_type 2a22 -ts_use_splitrhsfunction 0 965 output_file: output/ex6_1.out 966 967 TEST*/ 968