1*c4762a1bSJed Brown 2*c4762a1bSJed Brown static char help[] = "Chemo-taxis Problems from Mathematical Biology.\n"; 3*c4762a1bSJed Brown 4*c4762a1bSJed Brown /* 5*c4762a1bSJed Brown Page 18, Chemo-taxis Problems from Mathematical Biology 6*c4762a1bSJed Brown 7*c4762a1bSJed Brown rho_t = 8*c4762a1bSJed Brown c_t = 9*c4762a1bSJed Brown 10*c4762a1bSJed Brown Further discusson on Page 134 and in 2d on Page 409 11*c4762a1bSJed Brown */ 12*c4762a1bSJed Brown 13*c4762a1bSJed Brown /* 14*c4762a1bSJed Brown 15*c4762a1bSJed Brown Include "petscdmda.h" so that we can use distributed arrays (DMDAs). 16*c4762a1bSJed Brown Include "petscts.h" so that we can use SNES solvers. Note that this 17*c4762a1bSJed Brown file automatically includes: 18*c4762a1bSJed Brown petscsys.h - base PETSc routines petscvec.h - vectors 19*c4762a1bSJed Brown petscmat.h - matrices 20*c4762a1bSJed Brown petscis.h - index sets petscksp.h - Krylov subspace methods 21*c4762a1bSJed Brown petscviewer.h - viewers petscpc.h - preconditioners 22*c4762a1bSJed Brown petscksp.h - linear solvers 23*c4762a1bSJed Brown */ 24*c4762a1bSJed Brown 25*c4762a1bSJed Brown #include <petscdm.h> 26*c4762a1bSJed Brown #include <petscdmda.h> 27*c4762a1bSJed Brown #include <petscts.h> 28*c4762a1bSJed Brown 29*c4762a1bSJed Brown typedef struct { 30*c4762a1bSJed Brown PetscScalar rho,c; 31*c4762a1bSJed Brown } Field; 32*c4762a1bSJed Brown 33*c4762a1bSJed Brown typedef struct { 34*c4762a1bSJed Brown PetscScalar epsilon,delta,alpha,beta,gamma,kappa,lambda,mu,cstar; 35*c4762a1bSJed Brown PetscBool upwind; 36*c4762a1bSJed Brown } AppCtx; 37*c4762a1bSJed Brown 38*c4762a1bSJed Brown /* 39*c4762a1bSJed Brown User-defined routines 40*c4762a1bSJed Brown */ 41*c4762a1bSJed Brown extern PetscErrorCode IFunction(TS,PetscReal,Vec,Vec,Vec,void*),InitialConditions(DM,Vec); 42*c4762a1bSJed Brown 43*c4762a1bSJed Brown int main(int argc,char **argv) 44*c4762a1bSJed Brown { 45*c4762a1bSJed Brown TS ts; /* nonlinear solver */ 46*c4762a1bSJed Brown Vec U; /* solution, residual vectors */ 47*c4762a1bSJed Brown PetscErrorCode ierr; 48*c4762a1bSJed Brown DM da; 49*c4762a1bSJed Brown AppCtx appctx; 50*c4762a1bSJed Brown 51*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 52*c4762a1bSJed Brown Initialize program 53*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 54*c4762a1bSJed Brown ierr = PetscInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr; 55*c4762a1bSJed Brown 56*c4762a1bSJed Brown appctx.epsilon = 1.0e-3; 57*c4762a1bSJed Brown appctx.delta = 1.0; 58*c4762a1bSJed Brown appctx.alpha = 10.0; 59*c4762a1bSJed Brown appctx.beta = 4.0; 60*c4762a1bSJed Brown appctx.gamma = 1.0; 61*c4762a1bSJed Brown appctx.kappa = .75; 62*c4762a1bSJed Brown appctx.lambda = 1.0; 63*c4762a1bSJed Brown appctx.mu = 100.; 64*c4762a1bSJed Brown appctx.cstar = .2; 65*c4762a1bSJed Brown appctx.upwind = PETSC_TRUE; 66*c4762a1bSJed Brown 67*c4762a1bSJed Brown ierr = PetscOptionsGetScalar(NULL,NULL,"-delta",&appctx.delta,NULL);CHKERRQ(ierr); 68*c4762a1bSJed Brown ierr = PetscOptionsGetBool(NULL,NULL,"-upwind",&appctx.upwind,NULL);CHKERRQ(ierr); 69*c4762a1bSJed Brown 70*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 71*c4762a1bSJed Brown Create distributed array (DMDA) to manage parallel grid and vectors 72*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 73*c4762a1bSJed Brown ierr = DMDACreate1d(PETSC_COMM_WORLD, DM_BOUNDARY_NONE,8,2,1,NULL,&da);CHKERRQ(ierr); 74*c4762a1bSJed Brown ierr = DMSetFromOptions(da);CHKERRQ(ierr); 75*c4762a1bSJed Brown ierr = DMSetUp(da);CHKERRQ(ierr); 76*c4762a1bSJed Brown ierr = DMDASetFieldName(da,0,"rho");CHKERRQ(ierr); 77*c4762a1bSJed Brown ierr = DMDASetFieldName(da,1,"c");CHKERRQ(ierr); 78*c4762a1bSJed Brown 79*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 80*c4762a1bSJed Brown Extract global vectors from DMDA; then duplicate for remaining 81*c4762a1bSJed Brown vectors that are the same types 82*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 83*c4762a1bSJed Brown ierr = DMCreateGlobalVector(da,&U);CHKERRQ(ierr); 84*c4762a1bSJed Brown 85*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 86*c4762a1bSJed Brown Create timestepping solver context 87*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 88*c4762a1bSJed Brown ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr); 89*c4762a1bSJed Brown ierr = TSSetType(ts,TSROSW);CHKERRQ(ierr); 90*c4762a1bSJed Brown ierr = TSSetDM(ts,da);CHKERRQ(ierr); 91*c4762a1bSJed Brown ierr = TSSetProblemType(ts,TS_NONLINEAR);CHKERRQ(ierr); 92*c4762a1bSJed Brown ierr = TSSetIFunction(ts,NULL,IFunction,&appctx);CHKERRQ(ierr); 93*c4762a1bSJed Brown 94*c4762a1bSJed Brown 95*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 96*c4762a1bSJed Brown Set initial conditions 97*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 98*c4762a1bSJed Brown ierr = InitialConditions(da,U);CHKERRQ(ierr); 99*c4762a1bSJed Brown ierr = TSSetSolution(ts,U);CHKERRQ(ierr); 100*c4762a1bSJed Brown 101*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 102*c4762a1bSJed Brown Set solver options 103*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 104*c4762a1bSJed Brown ierr = TSSetTimeStep(ts,.0001);CHKERRQ(ierr); 105*c4762a1bSJed Brown ierr = TSSetMaxTime(ts,1.0);CHKERRQ(ierr); 106*c4762a1bSJed Brown ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_STEPOVER);CHKERRQ(ierr); 107*c4762a1bSJed Brown ierr = TSSetFromOptions(ts);CHKERRQ(ierr); 108*c4762a1bSJed Brown 109*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 110*c4762a1bSJed Brown Solve nonlinear system 111*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 112*c4762a1bSJed Brown ierr = TSSolve(ts,U);CHKERRQ(ierr); 113*c4762a1bSJed Brown 114*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 115*c4762a1bSJed Brown Free work space. All PETSc objects should be destroyed when they 116*c4762a1bSJed Brown are no longer needed. 117*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 118*c4762a1bSJed Brown ierr = VecDestroy(&U);CHKERRQ(ierr); 119*c4762a1bSJed Brown ierr = TSDestroy(&ts);CHKERRQ(ierr); 120*c4762a1bSJed Brown ierr = DMDestroy(&da);CHKERRQ(ierr); 121*c4762a1bSJed Brown 122*c4762a1bSJed Brown ierr = PetscFinalize(); 123*c4762a1bSJed Brown return ierr; 124*c4762a1bSJed Brown } 125*c4762a1bSJed Brown /* ------------------------------------------------------------------- */ 126*c4762a1bSJed Brown /* 127*c4762a1bSJed Brown IFunction - Evaluates nonlinear function, F(U). 128*c4762a1bSJed Brown 129*c4762a1bSJed Brown Input Parameters: 130*c4762a1bSJed Brown . ts - the TS context 131*c4762a1bSJed Brown . U - input vector 132*c4762a1bSJed Brown . ptr - optional user-defined context, as set by SNESSetFunction() 133*c4762a1bSJed Brown 134*c4762a1bSJed Brown Output Parameter: 135*c4762a1bSJed Brown . F - function vector 136*c4762a1bSJed Brown */ 137*c4762a1bSJed Brown PetscErrorCode IFunction(TS ts,PetscReal ftime,Vec U,Vec Udot,Vec F,void *ptr) 138*c4762a1bSJed Brown { 139*c4762a1bSJed Brown AppCtx *appctx = (AppCtx*)ptr; 140*c4762a1bSJed Brown DM da; 141*c4762a1bSJed Brown PetscErrorCode ierr; 142*c4762a1bSJed Brown PetscInt i,Mx,xs,xm; 143*c4762a1bSJed Brown PetscReal hx,sx; 144*c4762a1bSJed Brown PetscScalar rho,c,rhoxx,cxx,cx,rhox,kcxrhox; 145*c4762a1bSJed Brown Field *u,*f,*udot; 146*c4762a1bSJed Brown Vec localU; 147*c4762a1bSJed Brown 148*c4762a1bSJed Brown PetscFunctionBegin; 149*c4762a1bSJed Brown ierr = TSGetDM(ts,&da);CHKERRQ(ierr); 150*c4762a1bSJed Brown ierr = DMGetLocalVector(da,&localU);CHKERRQ(ierr); 151*c4762a1bSJed Brown ierr = DMDAGetInfo(da,PETSC_IGNORE,&Mx,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE);CHKERRQ(ierr); 152*c4762a1bSJed Brown 153*c4762a1bSJed Brown hx = 1.0/(PetscReal)(Mx-1); sx = 1.0/(hx*hx); 154*c4762a1bSJed Brown 155*c4762a1bSJed Brown /* 156*c4762a1bSJed Brown Scatter ghost points to local vector,using the 2-step process 157*c4762a1bSJed Brown DMGlobalToLocalBegin(),DMGlobalToLocalEnd(). 158*c4762a1bSJed Brown By placing code between these two statements, computations can be 159*c4762a1bSJed Brown done while messages are in transition. 160*c4762a1bSJed Brown */ 161*c4762a1bSJed Brown ierr = DMGlobalToLocalBegin(da,U,INSERT_VALUES,localU);CHKERRQ(ierr); 162*c4762a1bSJed Brown ierr = DMGlobalToLocalEnd(da,U,INSERT_VALUES,localU);CHKERRQ(ierr); 163*c4762a1bSJed Brown 164*c4762a1bSJed Brown /* 165*c4762a1bSJed Brown Get pointers to vector data 166*c4762a1bSJed Brown */ 167*c4762a1bSJed Brown ierr = DMDAVecGetArrayRead(da,localU,&u);CHKERRQ(ierr); 168*c4762a1bSJed Brown ierr = DMDAVecGetArrayRead(da,Udot,&udot);CHKERRQ(ierr); 169*c4762a1bSJed Brown ierr = DMDAVecGetArray(da,F,&f);CHKERRQ(ierr); 170*c4762a1bSJed Brown 171*c4762a1bSJed Brown /* 172*c4762a1bSJed Brown Get local grid boundaries 173*c4762a1bSJed Brown */ 174*c4762a1bSJed Brown ierr = DMDAGetCorners(da,&xs,NULL,NULL,&xm,NULL,NULL);CHKERRQ(ierr); 175*c4762a1bSJed Brown 176*c4762a1bSJed Brown if (!xs) { 177*c4762a1bSJed Brown f[0].rho = udot[0].rho; /* u[0].rho - 0.0; */ 178*c4762a1bSJed Brown f[0].c = udot[0].c; /* u[0].c - 1.0; */ 179*c4762a1bSJed Brown xs++; 180*c4762a1bSJed Brown xm--; 181*c4762a1bSJed Brown } 182*c4762a1bSJed Brown if (xs+xm == Mx) { 183*c4762a1bSJed Brown f[Mx-1].rho = udot[Mx-1].rho; /* u[Mx-1].rho - 1.0; */ 184*c4762a1bSJed Brown f[Mx-1].c = udot[Mx-1].c; /* u[Mx-1].c - 0.0; */ 185*c4762a1bSJed Brown xm--; 186*c4762a1bSJed Brown } 187*c4762a1bSJed Brown 188*c4762a1bSJed Brown /* 189*c4762a1bSJed Brown Compute function over the locally owned part of the grid 190*c4762a1bSJed Brown */ 191*c4762a1bSJed Brown for (i=xs; i<xs+xm; i++) { 192*c4762a1bSJed Brown rho = u[i].rho; 193*c4762a1bSJed Brown rhoxx = (-2.0*rho + u[i-1].rho + u[i+1].rho)*sx; 194*c4762a1bSJed Brown c = u[i].c; 195*c4762a1bSJed Brown cxx = (-2.0*c + u[i-1].c + u[i+1].c)*sx; 196*c4762a1bSJed Brown 197*c4762a1bSJed Brown if (!appctx->upwind) { 198*c4762a1bSJed Brown rhox = .5*(u[i+1].rho - u[i-1].rho)/hx; 199*c4762a1bSJed Brown cx = .5*(u[i+1].c - u[i-1].c)/hx; 200*c4762a1bSJed Brown kcxrhox = appctx->kappa*(cxx*rho + cx*rhox); 201*c4762a1bSJed Brown } else { 202*c4762a1bSJed Brown kcxrhox = appctx->kappa*((u[i+1].c - u[i].c)*u[i+1].rho - (u[i].c - u[i-1].c)*u[i].rho)*sx; 203*c4762a1bSJed Brown } 204*c4762a1bSJed Brown 205*c4762a1bSJed Brown f[i].rho = udot[i].rho - appctx->epsilon*rhoxx + kcxrhox - appctx->mu*PetscAbsScalar(rho)*(1.0 - rho)*PetscMax(0,PetscRealPart(c - appctx->cstar)) + appctx->beta*rho; 206*c4762a1bSJed Brown f[i].c = udot[i].c - appctx->delta*cxx + appctx->lambda*c + appctx->alpha*rho*c/(appctx->gamma + c); 207*c4762a1bSJed Brown } 208*c4762a1bSJed Brown 209*c4762a1bSJed Brown /* 210*c4762a1bSJed Brown Restore vectors 211*c4762a1bSJed Brown */ 212*c4762a1bSJed Brown ierr = DMDAVecRestoreArrayRead(da,localU,&u);CHKERRQ(ierr); 213*c4762a1bSJed Brown ierr = DMDAVecRestoreArrayRead(da,Udot,&udot);CHKERRQ(ierr); 214*c4762a1bSJed Brown ierr = DMDAVecRestoreArray(da,F,&f);CHKERRQ(ierr); 215*c4762a1bSJed Brown ierr = DMRestoreLocalVector(da,&localU);CHKERRQ(ierr); 216*c4762a1bSJed Brown PetscFunctionReturn(0); 217*c4762a1bSJed Brown } 218*c4762a1bSJed Brown 219*c4762a1bSJed Brown /* ------------------------------------------------------------------- */ 220*c4762a1bSJed Brown PetscErrorCode InitialConditions(DM da,Vec U) 221*c4762a1bSJed Brown { 222*c4762a1bSJed Brown PetscErrorCode ierr; 223*c4762a1bSJed Brown PetscInt i,xs,xm,Mx; 224*c4762a1bSJed Brown Field *u; 225*c4762a1bSJed Brown PetscReal hx,x; 226*c4762a1bSJed Brown 227*c4762a1bSJed Brown PetscFunctionBegin; 228*c4762a1bSJed Brown ierr = DMDAGetInfo(da,PETSC_IGNORE,&Mx,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE);CHKERRQ(ierr); 229*c4762a1bSJed Brown 230*c4762a1bSJed Brown hx = 1.0/(PetscReal)(Mx-1); 231*c4762a1bSJed Brown 232*c4762a1bSJed Brown /* 233*c4762a1bSJed Brown Get pointers to vector data 234*c4762a1bSJed Brown */ 235*c4762a1bSJed Brown ierr = DMDAVecGetArray(da,U,&u);CHKERRQ(ierr); 236*c4762a1bSJed Brown 237*c4762a1bSJed Brown /* 238*c4762a1bSJed Brown Get local grid boundaries 239*c4762a1bSJed Brown */ 240*c4762a1bSJed Brown ierr = DMDAGetCorners(da,&xs,NULL,NULL,&xm,NULL,NULL);CHKERRQ(ierr); 241*c4762a1bSJed Brown 242*c4762a1bSJed Brown /* 243*c4762a1bSJed Brown Compute function over the locally owned part of the grid 244*c4762a1bSJed Brown */ 245*c4762a1bSJed Brown for (i=xs; i<xs+xm; i++) { 246*c4762a1bSJed Brown x = i*hx; 247*c4762a1bSJed Brown if (x < 1.0) u[i].rho = 0.0; 248*c4762a1bSJed Brown else u[i].rho = 1.0; 249*c4762a1bSJed Brown u[i].c = PetscCosReal(.5*PETSC_PI*x); 250*c4762a1bSJed Brown } 251*c4762a1bSJed Brown 252*c4762a1bSJed Brown /* 253*c4762a1bSJed Brown Restore vectors 254*c4762a1bSJed Brown */ 255*c4762a1bSJed Brown ierr = DMDAVecRestoreArray(da,U,&u);CHKERRQ(ierr); 256*c4762a1bSJed Brown PetscFunctionReturn(0); 257*c4762a1bSJed Brown } 258*c4762a1bSJed Brown 259*c4762a1bSJed Brown 260*c4762a1bSJed Brown 261*c4762a1bSJed Brown 262*c4762a1bSJed Brown /*TEST 263*c4762a1bSJed Brown 264*c4762a1bSJed Brown test: 265*c4762a1bSJed Brown args: -pc_type lu -da_refine 2 -ts_view -ts_monitor -ts_max_time 1 266*c4762a1bSJed Brown requires: double 267*c4762a1bSJed Brown 268*c4762a1bSJed Brown test: 269*c4762a1bSJed Brown suffix: 2 270*c4762a1bSJed Brown args: -pc_type lu -da_refine 2 -ts_view -ts_monitor_draw_solution -ts_monitor -ts_max_time 1 271*c4762a1bSJed Brown requires: x double 272*c4762a1bSJed Brown output_file: output/ex4_1.out 273*c4762a1bSJed Brown 274*c4762a1bSJed Brown TEST*/ 275