static char help[] = "Solves biharmonic equation in 1d.\n"; /* Solves the equation u_t = - kappa \Delta \Delta u Periodic boundary conditions Evolve the biharmonic heat equation: --------------- ./biharmonic -ts_monitor -snes_monitor -pc_type lu -draw_pause .1 -snes_converged_reason -draw_pause -2 -ts_type cn -da_refine 5 -mymonitor Evolve with the restriction that -1 <= u <= 1; i.e. as a variational inequality --------------- ./biharmonic -ts_monitor -snes_monitor -pc_type lu -draw_pause .1 -snes_converged_reason -draw_pause -2 -ts_type cn -da_refine 5 -mymonitor u_t = kappa \Delta \Delta u + 6.*u*(u_x)^2 + (3*u^2 - 12) \Delta u -1 <= u <= 1 Periodic boundary conditions Evolve the Cahn-Hillard equations: double well Initial hump shrinks then grows --------------- ./biharmonic -ts_monitor -snes_monitor -pc_type lu -draw_pause .1 -snes_converged_reason -draw_pause -2 -ts_type cn -da_refine 6 -kappa .00001 -ts_dt 5.96046e-06 -cahn-hillard -ts_monitor_draw_solution --mymonitor Initial hump neither shrinks nor grows when degenerate (otherwise similar solution) ./biharmonic -ts_monitor -snes_monitor -pc_type lu -draw_pause .1 -snes_converged_reason -draw_pause -2 -ts_type cn -da_refine 6 -kappa .00001 -ts_dt 5.96046e-06 -cahn-hillard -degenerate -ts_monitor_draw_solution --mymonitor ./biharmonic -ts_monitor -snes_monitor -pc_type lu -draw_pause .1 -snes_converged_reason -draw_pause -2 -ts_type cn -da_refine 6 -kappa .00001 -ts_dt 5.96046e-06 -cahn-hillard -snes_vi_ignore_function_sign -ts_monitor_draw_solution --mymonitor Evolve the Cahn-Hillard equations: double obstacle --------------- ./biharmonic -ts_monitor -snes_monitor -pc_type lu -draw_pause .1 -snes_converged_reason -draw_pause -2 -ts_type cn -da_refine 5 -kappa .00001 -ts_dt 5.96046e-06 -cahn-hillard -energy 2 -snes_linesearch_monitor -ts_monitor_draw_solution --mymonitor Evolve the Cahn-Hillard equations: logarithmic + double well (never shrinks and then grows) --------------- ./biharmonic -ts_monitor -snes_monitor -pc_type lu --snes_converged_reason -draw_pause -2 -ts_type cn -da_refine 5 -kappa .0001 -ts_dt 5.96046e-06 -cahn-hillard -energy 3 -snes_linesearch_monitor -theta .00000001 -ts_monitor_draw_solution --ts_max_time 1. -mymonitor ./biharmonic -ts_monitor -snes_monitor -pc_type lu --snes_converged_reason -draw_pause -2 -ts_type cn -da_refine 5 -kappa .0001 -ts_dt 5.96046e-06 -cahn-hillard -energy 3 -snes_linesearch_monitor -theta .00000001 -ts_monitor_draw_solution --ts_max_time 1. -degenerate -mymonitor Evolve the Cahn-Hillard equations: logarithmic + double obstacle (never shrinks, never grows) --------------- ./biharmonic -ts_monitor -snes_monitor -pc_type lu --snes_converged_reason -draw_pause -2 -ts_type cn -da_refine 5 -kappa .00001 -ts_dt 5.96046e-06 -cahn-hillard -energy 4 -snes_linesearch_monitor -theta .00000001 -ts_monitor_draw_solution --mymonitor */ #include #include #include #include extern PetscErrorCode FormFunction(TS,PetscReal,Vec,Vec,void*),FormInitialSolution(DM,Vec),MyMonitor(TS,PetscInt,PetscReal,Vec,void*),MyDestroy(void**),FormJacobian(TS,PetscReal,Vec,Mat,Mat,void*); typedef struct {PetscBool cahnhillard;PetscBool degenerate;PetscReal kappa;PetscInt energy;PetscReal tol;PetscReal theta,theta_c;PetscInt truncation;PetscBool netforce; PetscDrawViewPorts *ports;} UserCtx; int main(int argc,char **argv) { TS ts; /* nonlinear solver */ Vec x,r; /* solution, residual vectors */ Mat J; /* Jacobian matrix */ PetscInt steps,Mx; DM da; PetscReal dt; PetscBool mymonitor; UserCtx ctx; /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Initialize program - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscFunctionBeginUser; PetscCall(PetscInitialize(&argc,&argv,(char*)0,help)); ctx.kappa = 1.0; PetscCall(PetscOptionsGetReal(NULL,NULL,"-kappa",&ctx.kappa,NULL)); ctx.degenerate = PETSC_FALSE; PetscCall(PetscOptionsGetBool(NULL,NULL,"-degenerate",&ctx.degenerate,NULL)); ctx.cahnhillard = PETSC_FALSE; PetscCall(PetscOptionsGetBool(NULL,NULL,"-cahn-hillard",&ctx.cahnhillard,NULL)); ctx.netforce = PETSC_FALSE; PetscCall(PetscOptionsGetBool(NULL,NULL,"-netforce",&ctx.netforce,NULL)); ctx.energy = 1; PetscCall(PetscOptionsGetInt(NULL,NULL,"-energy",&ctx.energy,NULL)); ctx.tol = 1.0e-8; PetscCall(PetscOptionsGetReal(NULL,NULL,"-tol",&ctx.tol,NULL)); ctx.theta = .001; ctx.theta_c = 1.0; PetscCall(PetscOptionsGetReal(NULL,NULL,"-theta",&ctx.theta,NULL)); PetscCall(PetscOptionsGetReal(NULL,NULL,"-theta_c",&ctx.theta_c,NULL)); ctx.truncation = 1; PetscCall(PetscOptionsGetInt(NULL,NULL,"-truncation",&ctx.truncation,NULL)); PetscCall(PetscOptionsHasName(NULL,NULL,"-mymonitor",&mymonitor)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Create distributed array (DMDA) to manage parallel grid and vectors - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(DMDACreate1d(PETSC_COMM_WORLD, DM_BOUNDARY_PERIODIC, 10,1,2,NULL,&da)); PetscCall(DMSetFromOptions(da)); PetscCall(DMSetUp(da)); PetscCall(DMDASetFieldName(da,0,"Biharmonic heat equation: u")); PetscCall(DMDAGetInfo(da,0,&Mx,0,0,0,0,0,0,0,0,0,0,0)); dt = 1.0/(10.*ctx.kappa*Mx*Mx*Mx*Mx); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Extract global vectors from DMDA; then duplicate for remaining vectors that are the same types - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(DMCreateGlobalVector(da,&x)); PetscCall(VecDuplicate(x,&r)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Create timestepping solver context - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(TSCreate(PETSC_COMM_WORLD,&ts)); PetscCall(TSSetDM(ts,da)); PetscCall(TSSetProblemType(ts,TS_NONLINEAR)); PetscCall(TSSetRHSFunction(ts,NULL,FormFunction,&ctx)); PetscCall(DMSetMatType(da,MATAIJ)); PetscCall(DMCreateMatrix(da,&J)); PetscCall(TSSetRHSJacobian(ts,J,J,FormJacobian,&ctx)); PetscCall(TSSetMaxTime(ts,.02)); PetscCall(TSSetExactFinalTime(ts,TS_EXACTFINALTIME_INTERPOLATE)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Create matrix data structure; set Jacobian evaluation routine Set Jacobian matrix data structure and default Jacobian evaluation routine. User can override with: -snes_mf : matrix-free Newton-Krylov method with no preconditioning (unless user explicitly sets preconditioner) -snes_mf_operator : form preconditioning matrix as set by the user, but use matrix-free approx for Jacobian-vector products within Newton-Krylov method - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Customize nonlinear solver - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(TSSetType(ts,TSCN)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Set initial conditions - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(FormInitialSolution(da,x)); PetscCall(TSSetTimeStep(ts,dt)); PetscCall(TSSetSolution(ts,x)); if (mymonitor) { ctx.ports = NULL; PetscCall(TSMonitorSet(ts,MyMonitor,&ctx,MyDestroy)); } /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Set runtime options - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(TSSetFromOptions(ts)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Solve nonlinear system - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(TSSolve(ts,x)); PetscCall(TSGetStepNumber(ts,&steps)); PetscCall(VecView(x,PETSC_VIEWER_BINARY_WORLD)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Free work space. All PETSc objects should be destroyed when they are no longer needed. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(MatDestroy(&J)); PetscCall(VecDestroy(&x)); PetscCall(VecDestroy(&r)); PetscCall(TSDestroy(&ts)); PetscCall(DMDestroy(&da)); PetscCall(PetscFinalize()); return 0; } /* ------------------------------------------------------------------- */ /* FormFunction - Evaluates nonlinear function, F(x). Input Parameters: . ts - the TS context . X - input vector . ptr - optional user-defined context, as set by SNESSetFunction() Output Parameter: . F - function vector */ PetscErrorCode FormFunction(TS ts,PetscReal ftime,Vec X,Vec F,void *ptr) { DM da; PetscInt i,Mx,xs,xm; PetscReal hx,sx; PetscScalar *x,*f,c,r,l; Vec localX; UserCtx *ctx = (UserCtx*)ptr; PetscReal tol = ctx->tol, theta=ctx->theta,theta_c=ctx->theta_c,a,b; /* a and b are used in the cubic truncation of the log function */ PetscFunctionBegin; PetscCall(TSGetDM(ts,&da)); PetscCall(DMGetLocalVector(da,&localX)); PetscCall(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)); hx = 1.0/(PetscReal)Mx; sx = 1.0/(hx*hx); /* Scatter ghost points to local vector,using the 2-step process DMGlobalToLocalBegin(),DMGlobalToLocalEnd(). By placing code between these two statements, computations can be done while messages are in transition. */ PetscCall(DMGlobalToLocalBegin(da,X,INSERT_VALUES,localX)); PetscCall(DMGlobalToLocalEnd(da,X,INSERT_VALUES,localX)); /* Get pointers to vector data */ PetscCall(DMDAVecGetArrayRead(da,localX,&x)); PetscCall(DMDAVecGetArray(da,F,&f)); /* Get local grid boundaries */ PetscCall(DMDAGetCorners(da,&xs,NULL,NULL,&xm,NULL,NULL)); /* Compute function over the locally owned part of the grid */ for (i=xs; idegenerate) { c = (1. - x[i]*x[i])*(x[i-1] + x[i+1] - 2.0*x[i])*sx; r = (1. - x[i+1]*x[i+1])*(x[i] + x[i+2] - 2.0*x[i+1])*sx; l = (1. - x[i-1]*x[i-1])*(x[i-2] + x[i] - 2.0*x[i-1])*sx; } else { c = (x[i-1] + x[i+1] - 2.0*x[i])*sx; r = (x[i] + x[i+2] - 2.0*x[i+1])*sx; l = (x[i-2] + x[i] - 2.0*x[i-1])*sx; } f[i] = -ctx->kappa*(l + r - 2.0*c)*sx; if (ctx->cahnhillard) { switch (ctx->energy) { case 1: /* double well */ f[i] += 6.*.25*x[i]*(x[i+1] - x[i-1])*(x[i+1] - x[i-1])*sx + (3.*x[i]*x[i] - 1.)*(x[i-1] + x[i+1] - 2.0*x[i])*sx; break; case 2: /* double obstacle */ f[i] += -(x[i-1] + x[i+1] - 2.0*x[i])*sx; break; case 3: /* logarithmic + double well */ f[i] += 6.*.25*x[i]*(x[i+1] - x[i-1])*(x[i+1] - x[i-1])*sx + (3.*x[i]*x[i] - 1.)*(x[i-1] + x[i+1] - 2.0*x[i])*sx; if (ctx->truncation==2) { /* log function with approximated with a quadratic polynomial outside -1.0+2*tol, 1.0-2*tol */ if (PetscRealPart(x[i]) < -1.0 + 2.0*tol) f[i] += (.25*theta/(tol-tol*tol))*(x[i-1] + x[i+1] - 2.0*x[i])*sx; else if (PetscRealPart(x[i]) > 1.0 - 2.0*tol) f[i] += (.25*theta/(tol-tol*tol))*(x[i-1] + x[i+1] - 2.0*x[i])*sx; else f[i] += 2.0*theta*x[i]/((1.0-x[i]*x[i])*(1.0-x[i]*x[i]))*.25*(x[i+1] - x[i-1])*(x[i+1] - x[i-1])*sx + (theta/(1.0-x[i]*x[i]))*(x[i-1] + x[i+1] - 2.0*x[i])*sx; } else { /* log function is approximated with a cubic polynomial outside -1.0+2*tol, 1.0-2*tol */ a = 2.0*theta*(1.0-2.0*tol)/(16.0*tol*tol*(1.0-tol)*(1.0-tol)); b = theta/(4.0*tol*(1.0-tol)) - a*(1.0-2.0*tol); if (PetscRealPart(x[i]) < -1.0 + 2.0*tol) f[i] += -1.0*a*.25*(x[i+1] - x[i-1])*(x[i+1] - x[i-1])*sx + (-1.0*a*x[i] + b)*(x[i-1] + x[i+1] - 2.0*x[i])*sx; else if (PetscRealPart(x[i]) > 1.0 - 2.0*tol) f[i] += 1.0*a*.25*(x[i+1] - x[i-1])*(x[i+1] - x[i-1])*sx + ( a*x[i] + b)*(x[i-1] + x[i+1] - 2.0*x[i])*sx; else f[i] += 2.0*theta*x[i]/((1.0-x[i]*x[i])*(1.0-x[i]*x[i]))*.25*(x[i+1] - x[i-1])*(x[i+1] - x[i-1])*sx + (theta/(1.0-x[i]*x[i]))*(x[i-1] + x[i+1] - 2.0*x[i])*sx; } break; case 4: /* logarithmic + double obstacle */ f[i] += -theta_c*(x[i-1] + x[i+1] - 2.0*x[i])*sx; if (ctx->truncation==2) { /* quadratic */ if (PetscRealPart(x[i]) < -1.0 + 2.0*tol) f[i] += (.25*theta/(tol-tol*tol))*(x[i-1] + x[i+1] - 2.0*x[i])*sx; else if (PetscRealPart(x[i]) > 1.0 - 2.0*tol) f[i] += (.25*theta/(tol-tol*tol))*(x[i-1] + x[i+1] - 2.0*x[i])*sx; else f[i] += 2.0*theta*x[i]/((1.0-x[i]*x[i])*(1.0-x[i]*x[i]))*.25*(x[i+1] - x[i-1])*(x[i+1] - x[i-1])*sx + (theta/(1.0-x[i]*x[i]))*(x[i-1] + x[i+1] - 2.0*x[i])*sx; } else { /* cubic */ a = 2.0*theta*(1.0-2.0*tol)/(16.0*tol*tol*(1.0-tol)*(1.0-tol)); b = theta/(4.0*tol*(1.0-tol)) - a*(1.0-2.0*tol); if (PetscRealPart(x[i]) < -1.0 + 2.0*tol) f[i] += -1.0*a*.25*(x[i+1] - x[i-1])*(x[i+1] - x[i-1])*sx + (-1.0*a*x[i] + b)*(x[i-1] + x[i+1] - 2.0*x[i])*sx; else if (PetscRealPart(x[i]) > 1.0 - 2.0*tol) f[i] += 1.0*a*.25*(x[i+1] - x[i-1])*(x[i+1] - x[i-1])*sx + ( a*x[i] + b)*(x[i-1] + x[i+1] - 2.0*x[i])*sx; else f[i] += 2.0*theta*x[i]/((1.0-x[i]*x[i])*(1.0-x[i]*x[i]))*.25*(x[i+1] - x[i-1])*(x[i+1] - x[i-1])*sx + (theta/(1.0-x[i]*x[i]))*(x[i-1] + x[i+1] - 2.0*x[i])*sx; } break; } } } /* Restore vectors */ PetscCall(DMDAVecRestoreArrayRead(da,localX,&x)); PetscCall(DMDAVecRestoreArray(da,F,&f)); PetscCall(DMRestoreLocalVector(da,&localX)); PetscFunctionReturn(0); } /* ------------------------------------------------------------------- */ /* FormJacobian - Evaluates nonlinear function's Jacobian */ PetscErrorCode FormJacobian(TS ts,PetscReal ftime,Vec X,Mat A,Mat B,void *ptr) { DM da; PetscInt i,Mx,xs,xm; MatStencil row,cols[5]; PetscReal hx,sx; PetscScalar *x,vals[5]; Vec localX; UserCtx *ctx = (UserCtx*)ptr; PetscFunctionBegin; PetscCall(TSGetDM(ts,&da)); PetscCall(DMGetLocalVector(da,&localX)); PetscCall(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)); hx = 1.0/(PetscReal)Mx; sx = 1.0/(hx*hx); /* Scatter ghost points to local vector,using the 2-step process DMGlobalToLocalBegin(),DMGlobalToLocalEnd(). By placing code between these two statements, computations can be done while messages are in transition. */ PetscCall(DMGlobalToLocalBegin(da,X,INSERT_VALUES,localX)); PetscCall(DMGlobalToLocalEnd(da,X,INSERT_VALUES,localX)); /* Get pointers to vector data */ PetscCall(DMDAVecGetArrayRead(da,localX,&x)); /* Get local grid boundaries */ PetscCall(DMDAGetCorners(da,&xs,NULL,NULL,&xm,NULL,NULL)); /* Compute function over the locally owned part of the grid */ for (i=xs; idegenerate) { /*PetscScalar c,r,l; c = (1. - x[i]*x[i])*(x[i-1] + x[i+1] - 2.0*x[i])*sx; r = (1. - x[i+1]*x[i+1])*(x[i] + x[i+2] - 2.0*x[i+1])*sx; l = (1. - x[i-1]*x[i-1])*(x[i-2] + x[i] - 2.0*x[i-1])*sx; */ } else { cols[0].i = i - 2; vals[0] = -ctx->kappa*sx*sx; cols[1].i = i - 1; vals[1] = 4.0*ctx->kappa*sx*sx; cols[2].i = i ; vals[2] = -6.0*ctx->kappa*sx*sx; cols[3].i = i + 1; vals[3] = 4.0*ctx->kappa*sx*sx; cols[4].i = i + 2; vals[4] = -ctx->kappa*sx*sx; } PetscCall(MatSetValuesStencil(B,1,&row,5,cols,vals,INSERT_VALUES)); if (ctx->cahnhillard) { switch (ctx->energy) { case 1: /* double well */ /* f[i] += 6.*.25*x[i]*(x[i+1] - x[i-1])*(x[i+1] - x[i-1])*sx + (3.*x[i]*x[i] - 1.)*(x[i-1] + x[i+1] - 2.0*x[i])*sx; */ break; case 2: /* double obstacle */ /* f[i] += -(x[i-1] + x[i+1] - 2.0*x[i])*sx; */ break; case 3: /* logarithmic + double well */ break; case 4: /* logarithmic + double obstacle */ break; } } } /* Restore vectors */ PetscCall(DMDAVecRestoreArrayRead(da,localX,&x)); PetscCall(DMRestoreLocalVector(da,&localX)); PetscCall(MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY)); PetscCall(MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY)); if (A != B) { PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY)); PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY)); } PetscFunctionReturn(0); } /* ------------------------------------------------------------------- */ PetscErrorCode FormInitialSolution(DM da,Vec U) { PetscInt i,xs,xm,Mx,N,scale; PetscScalar *u; PetscReal r,hx,x; const PetscScalar *f; Vec finesolution; PetscViewer viewer; PetscFunctionBegin; PetscCall(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)); hx = 1.0/(PetscReal)Mx; /* Get pointers to vector data */ PetscCall(DMDAVecGetArray(da,U,&u)); /* Get local grid boundaries */ PetscCall(DMDAGetCorners(da,&xs,NULL,NULL,&xm,NULL,NULL)); /* Seee heat.c for how to generate InitialSolution.heat */ PetscCall(PetscViewerBinaryOpen(PETSC_COMM_WORLD,"InitialSolution.heat",FILE_MODE_READ,&viewer)); PetscCall(VecCreate(PETSC_COMM_WORLD,&finesolution)); PetscCall(VecLoad(finesolution,viewer)); PetscCall(PetscViewerDestroy(&viewer)); PetscCall(VecGetSize(finesolution,&N)); scale = N/Mx; PetscCall(VecGetArrayRead(finesolution,&f)); /* Compute function over the locally owned part of the grid */ for (i=xs; itol, theta=ctx->theta,theta_c=ctx->theta_c,a,b; /* a and b are used in the cubic truncation of the log function */ PetscReal vbounds[] = {-1.1,1.1}; PetscFunctionBegin; PetscCall(PetscViewerDrawSetBounds(PETSC_VIEWER_DRAW_(PETSC_COMM_WORLD),1,vbounds)); PetscCall(PetscViewerDrawResize(PETSC_VIEWER_DRAW_(PETSC_COMM_WORLD),800,600)); PetscCall(TSGetDM(ts,&da)); PetscCall(DMGetLocalVector(da,&localU)); PetscCall(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)); PetscCall(DMDAGetCorners(da,&xs,NULL,NULL,&xm,NULL,NULL)); hx = 1.0/(PetscReal)Mx; sx = 1.0/(hx*hx); PetscCall(DMGlobalToLocalBegin(da,U,INSERT_VALUES,localU)); PetscCall(DMGlobalToLocalEnd(da,U,INSERT_VALUES,localU)); PetscCall(DMDAVecGetArrayRead(da,localU,&u)); PetscCall(PetscViewerDrawGetDrawLG(PETSC_VIEWER_DRAW_(PETSC_COMM_WORLD),1,&lg)); PetscCall(PetscDrawLGGetDraw(lg,&draw)); PetscCall(PetscDrawCheckResizedWindow(draw)); if (!ctx->ports) { PetscCall(PetscDrawViewPortsCreateRect(draw,1,3,&ctx->ports)); } ports = ctx->ports; PetscCall(PetscDrawLGGetAxis(lg,&axis)); PetscCall(PetscDrawLGReset(lg)); xx[0] = 0.0; xx[1] = 1.0; cnt = 2; PetscCall(PetscOptionsGetRealArray(NULL,NULL,"-zoom",xx,&cnt,NULL)); xs = xx[0]/hx; xm = (xx[1] - xx[0])/hx; /* Plot the energies */ PetscCall(PetscDrawLGSetDimension(lg,1 + (ctx->cahnhillard ? 1 : 0) + (ctx->energy == 3))); PetscCall(PetscDrawLGSetColors(lg,colors+1)); PetscCall(PetscDrawViewPortsSet(ports,2)); x = hx*xs; for (i=xs; idegenerate) yy[0] = PetscRealPart(.25*(1. - u[i]*u[i])*ctx->kappa*(u[i-1] - u[i+1])*(u[i-1] - u[i+1])*sx); else yy[0] = PetscRealPart(.25*ctx->kappa*(u[i-1] - u[i+1])*(u[i-1] - u[i+1])*sx); if (ctx->cahnhillard) { switch (ctx->energy) { case 1: /* double well */ yy[1] = .25*PetscRealPart((1. - u[i]*u[i])*(1. - u[i]*u[i])); break; case 2: /* double obstacle */ yy[1] = .5*PetscRealPart(1. - u[i]*u[i]); break; case 3: /* logarithm + double well */ yy[1] = .25*PetscRealPart((1. - u[i]*u[i])*(1. - u[i]*u[i])); if (PetscRealPart(u[i]) < -1.0 + 2.0*tol) yy[2] = .5*theta*(2.0*tol*PetscLogReal(tol) + PetscRealPart(1.0-u[i])*PetscLogReal(PetscRealPart(1.-u[i])/2.0)); else if (PetscRealPart(u[i]) > 1.0 - 2.0*tol) yy[2] = .5*theta*(PetscRealPart(1.0+u[i])*PetscLogReal(PetscRealPart(1.0+u[i])/2.0) + 2.0*tol*PetscLogReal(tol)); else yy[2] = .5*theta*(PetscRealPart(1.0+u[i])*PetscLogReal(PetscRealPart(1.0+u[i])/2.0) + PetscRealPart(1.0-u[i])*PetscLogReal(PetscRealPart(1.0-u[i])/2.0)); break; case 4: /* logarithm + double obstacle */ yy[1] = .5*theta_c*PetscRealPart(1.0-u[i]*u[i]); if (PetscRealPart(u[i]) < -1.0 + 2.0*tol) yy[2] = .5*theta*(2.0*tol*PetscLogReal(tol) + PetscRealPart(1.0-u[i])*PetscLogReal(PetscRealPart(1.-u[i])/2.0)); else if (PetscRealPart(u[i]) > 1.0 - 2.0*tol) yy[2] = .5*theta*(PetscRealPart(1.0+u[i])*PetscLogReal(PetscRealPart(1.0+u[i])/2.0) + 2.0*tol*PetscLogReal(tol)); else yy[2] = .5*theta*(PetscRealPart(1.0+u[i])*PetscLogReal(PetscRealPart(1.0+u[i])/2.0) + PetscRealPart(1.0-u[i])*PetscLogReal(PetscRealPart(1.0-u[i])/2.0)); break; default: SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"It will always be one of the values"); } } PetscCall(PetscDrawLGAddPoint(lg,xx,yy)); x += hx; } PetscCall(PetscDrawGetPause(draw,&pause)); PetscCall(PetscDrawSetPause(draw,0.0)); PetscCall(PetscDrawAxisSetLabels(axis,"Energy","","")); /* PetscCall(PetscDrawLGSetLegend(lg,legend[ctx->energy-1])); */ PetscCall(PetscDrawLGDraw(lg)); /* Plot the forces */ PetscCall(PetscDrawLGSetDimension(lg,0 + (ctx->cahnhillard ? 2 : 0) + (ctx->energy == 3))); PetscCall(PetscDrawLGSetColors(lg,colors+1)); PetscCall(PetscDrawViewPortsSet(ports,1)); PetscCall(PetscDrawLGReset(lg)); x = xs*hx; max = 0.; for (i=xs; idegenerate) { c = (1. - u[i]*u[i])*(u[i-1] + u[i+1] - 2.0*u[i])*sx; r = (1. - u[i+1]*u[i+1])*(u[i] + u[i+2] - 2.0*u[i+1])*sx; l = (1. - u[i-1]*u[i-1])*(u[i-2] + u[i] - 2.0*u[i-1])*sx; } else { c = (u[i-1] + u[i+1] - 2.0*u[i])*sx; r = (u[i] + u[i+2] - 2.0*u[i+1])*sx; l = (u[i-2] + u[i] - 2.0*u[i-1])*sx; } yy[0] = PetscRealPart(-ctx->kappa*(l + r - 2.0*c)*sx); yy_netforce = yy[0]; max = PetscMax(max,PetscAbs(yy[0])); if (ctx->cahnhillard) { switch (ctx->energy) { case 1: /* double well */ yy[1] = PetscRealPart(6.*.25*u[i]*(u[i+1] - u[i-1])*(u[i+1] - u[i-1])*sx + (3.*u[i]*u[i] - 1.)*(u[i-1] + u[i+1] - 2.0*u[i])*sx); break; case 2: /* double obstacle */ yy[1] = -PetscRealPart(u[i-1] + u[i+1] - 2.0*u[i])*sx; break; case 3: /* logarithmic + double well */ yy[1] = PetscRealPart(6.*.25*u[i]*(u[i+1] - u[i-1])*(u[i+1] - u[i-1])*sx + (3.*u[i]*u[i] - 1.)*(u[i-1] + u[i+1] - 2.0*u[i])*sx); if (ctx->truncation==2) { /* quadratic */ if (PetscRealPart(u[i]) < -1.0 + 2.0*tol) yy[2] = (.25*theta/(tol-tol*tol))*PetscRealPart(u[i-1] + u[i+1] - 2.0*u[i])*sx; else if (PetscRealPart(u[i]) > 1.0 - 2.0*tol) yy[2] = (.25*theta/(tol-tol*tol))*PetscRealPart(u[i-1] + u[i+1] - 2.0*u[i])*sx; else yy[2] = PetscRealPart(2.0*theta*u[i]/((1.0-u[i]*u[i])*(1.0-u[i]*u[i]))*.25*(u[i+1] - u[i-1])*(u[i+1] - u[i-1])*sx + (theta/(1.0-u[i]*u[i]))*(u[i-1] + u[i+1] - 2.0*u[i])*sx); } else { /* cubic */ a = 2.0*theta*(1.0-2.0*tol)/(16.0*tol*tol*(1.0-tol)*(1.0-tol)); b = theta/(4.0*tol*(1.0-tol)) - a*(1.0-2.0*tol); if (PetscRealPart(u[i]) < -1.0 + 2.0*tol) yy[2] = PetscRealPart(-1.0*a*.25*(u[i+1] - u[i-1])*(u[i+1] - u[i-1])*sx + (-1.0*a*u[i] + b)*(u[i-1] + u[i+1] - 2.0*u[i])*sx); else if (PetscRealPart(u[i]) > 1.0 - 2.0*tol) yy[2] = PetscRealPart(1.0*a*.25*(u[i+1] - u[i-1])*(u[i+1] - u[i-1])*sx + ( a*u[i] + b)*(u[i-1] + u[i+1] - 2.0*u[i])*sx); else yy[2] = PetscRealPart(2.0*theta*u[i]/((1.0-u[i]*u[i])*(1.0-u[i]*u[i]))*.25*(u[i+1] - u[i-1])*(u[i+1] - u[i-1])*sx + (theta/(1.0-u[i]*u[i]))*(u[i-1] + u[i+1] - 2.0*u[i])*sx); } break; case 4: /* logarithmic + double obstacle */ yy[1] = theta_c*PetscRealPart(-(u[i-1] + u[i+1] - 2.0*u[i]))*sx; if (ctx->truncation==2) { if (PetscRealPart(u[i]) < -1.0 + 2.0*tol) yy[2] = (.25*theta/(tol-tol*tol))*PetscRealPart(u[i-1] + u[i+1] - 2.0*u[i])*sx; else if (PetscRealPart(u[i]) > 1.0 - 2.0*tol) yy[2] = (.25*theta/(tol-tol*tol))*PetscRealPart(u[i-1] + u[i+1] - 2.0*u[i])*sx; else yy[2] = PetscRealPart(2.0*theta*u[i]/((1.0-u[i]*u[i])*(1.0-u[i]*u[i]))*.25*(u[i+1] - u[i-1])*(u[i+1] - u[i-1])*sx + (theta/(1.0-u[i]*u[i]))*(u[i-1] + u[i+1] - 2.0*u[i])*sx); } else { a = 2.0*theta*(1.0-2.0*tol)/(16.0*tol*tol*(1.0-tol)*(1.0-tol)); b = theta/(4.0*tol*(1.0-tol)) - a*(1.0-2.0*tol); if (PetscRealPart(u[i]) < -1.0 + 2.0*tol) yy[2] = PetscRealPart(-1.0*a*.25*(u[i+1] - u[i-1])*(u[i+1] - u[i-1])*sx + (-1.0*a*u[i] + b)*(u[i-1] + u[i+1] - 2.0*u[i])*sx); else if (PetscRealPart(u[i]) > 1.0 - 2.0*tol) yy[2] = PetscRealPart(1.0*a*.25*(u[i+1] - u[i-1])*(u[i+1] - u[i-1])*sx + ( a*u[i] + b)*(u[i-1] + u[i+1] - 2.0*u[i])*sx); else yy[2] = PetscRealPart(2.0*theta*u[i]/((1.0-u[i]*u[i])*(1.0-u[i]*u[i]))*.25*(u[i+1] - u[i-1])*(u[i+1] - u[i-1])*sx + (theta/(1.0-u[i]*u[i]))*(u[i-1] + u[i+1] - 2.0*u[i])*sx); } break; default: SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"It will always be one of the values"); } if (ctx->energy < 3) { max = PetscMax(max,PetscAbs(yy[1])); yy[2] = yy[0]+yy[1]; yy_netforce = yy[2]; } else { max = PetscMax(max,PetscAbs(yy[1]+yy[2])); yy[3] = yy[0]+yy[1]+yy[2]; yy_netforce = yy[3]; } } if (ctx->netforce) { PetscCall(PetscDrawLGAddPoint(lg,&xx_netforce,&yy_netforce)); } else { PetscCall(PetscDrawLGAddPoint(lg,xx,yy)); } x += hx; /*if (max > 7200150000.0) */ /* printf("max very big when i = %d\n",i); */ } PetscCall(PetscDrawAxisSetLabels(axis,"Right hand side","","")); PetscCall(PetscDrawLGSetLegend(lg,NULL)); PetscCall(PetscDrawLGDraw(lg)); /* Plot the solution */ PetscCall(PetscDrawLGSetDimension(lg,1)); PetscCall(PetscDrawViewPortsSet(ports,0)); PetscCall(PetscDrawLGReset(lg)); x = hx*xs; PetscCall(PetscDrawLGSetLimits(lg,x,x+(xm-1)*hx,-1.1,1.1)); PetscCall(PetscDrawLGSetColors(lg,colors)); for (i=xs; ikappa*(l + r - 2.0*c)*sx)/max; PetscCall(PetscDrawArrow(draw,x,y,x,y+len,PETSC_DRAW_RED)); if (ctx->cahnhillard) { if (len < 0.) ydown += len; else yup += len; switch (ctx->energy) { case 1: /* double well */ len = .5*PetscRealPart(6.*.25*u[i]*(u[i+1] - u[i-1])*(u[i+1] - u[i-1])*sx + (3.*u[i]*u[i] - 1.)*(u[i-1] + u[i+1] - 2.0*u[i])*sx)/max; break; case 2: /* double obstacle */ len = -.5*PetscRealPart(u[i-1] + u[i+1] - 2.0*u[i])*sx/max; break; case 3: /* logarithmic + double well */ len = .5*PetscRealPart(6.*.25*u[i]*(u[i+1] - u[i-1])*(u[i+1] - u[i-1])*sx + (3.*u[i]*u[i] - 1.)*(u[i-1] + u[i+1] - 2.0*u[i])*sx)/max; if (len < 0.) ydown += len; else yup += len; if (ctx->truncation==2) { /* quadratic */ if (PetscRealPart(u[i]) < -1.0 + 2.0*tol) len2 = .5*(.25*theta/(tol-tol*tol))*PetscRealPart(u[i-1] + u[i+1] - 2.0*u[i])*sx/max; else if (PetscRealPart(u[i]) > 1.0 - 2.0*tol) len2 = .5*(.25*theta/(tol-tol*tol))*PetscRealPart(u[i-1] + u[i+1] - 2.0*u[i])*sx/max; else len2 = PetscRealPart(.5*(2.0*theta*u[i]/((1.0-u[i]*u[i])*(1.0-u[i]*u[i]))*.25*(u[i+1] - u[i-1])*(u[i+1] - u[i-1])*sx + (theta/(1.0-u[i]*u[i]))*(u[i-1] + u[i+1] - 2.0*u[i])*sx)/max); } else { /* cubic */ a = 2.0*theta*(1.0-2.0*tol)/(16.0*tol*tol*(1.0-tol)*(1.0-tol)); b = theta/(4.0*tol*(1.0-tol)) - a*(1.0-2.0*tol); if (PetscRealPart(u[i]) < -1.0 + 2.0*tol) len2 = PetscRealPart(.5*(-1.0*a*.25*(u[i+1] - u[i-1])*(u[i+1] - u[i-1])*sx + (-1.0*a*u[i] + b)*(u[i-1] + u[i+1] - 2.0*u[i])*sx)/max); else if (PetscRealPart(u[i]) > 1.0 - 2.0*tol) len2 = PetscRealPart(.5*(a*.25*(u[i+1] - u[i-1])*(u[i+1] - u[i-1])*sx + ( a*u[i] + b)*(u[i-1] + u[i+1] - 2.0*u[i])*sx)/max); else len2 = PetscRealPart(.5*(2.0*theta*u[i]/((1.0-u[i]*u[i])*(1.0-u[i]*u[i]))*.25*(u[i+1] - u[i-1])*(u[i+1] - u[i-1])*sx + (theta/(1.0-u[i]*u[i]))*(u[i-1] + u[i+1] - 2.0*u[i])*sx)/max); } y2 = len < 0 ? ydown : yup; PetscCall(PetscDrawArrow(draw,x,y2,x,y2+len2,PETSC_DRAW_PLUM)); break; case 4: /* logarithmic + double obstacle */ len = -.5*theta_c*PetscRealPart(-(u[i-1] + u[i+1] - 2.0*u[i])*sx/max); if (len < 0.) ydown += len; else yup += len; if (ctx->truncation==2) { /* quadratic */ if (PetscRealPart(u[i]) < -1.0 + 2.0*tol) len2 = .5*(.25*theta/(tol-tol*tol))*PetscRealPart(u[i-1] + u[i+1] - 2.0*u[i])*sx/max; else if (PetscRealPart(u[i]) > 1.0 - 2.0*tol) len2 = .5*(.25*theta/(tol-tol*tol))*PetscRealPart(u[i-1] + u[i+1] - 2.0*u[i])*sx/max; else len2 = PetscRealPart(.5*(2.0*theta*u[i]/((1.0-u[i]*u[i])*(1.0-u[i]*u[i]))*.25*(u[i+1] - u[i-1])*(u[i+1] - u[i-1])*sx + (theta/(1.0-u[i]*u[i]))*(u[i-1] + u[i+1] - 2.0*u[i])*sx)/max); } else { /* cubic */ a = 2.0*theta*(1.0-2.0*tol)/(16.0*tol*tol*(1.0-tol)*(1.0-tol)); b = theta/(4.0*tol*(1.0-tol)) - a*(1.0-2.0*tol); if (PetscRealPart(u[i]) < -1.0 + 2.0*tol) len2 = .5*PetscRealPart(-1.0*a*.25*(u[i+1] - u[i-1])*(u[i+1] - u[i-1])*sx + (-1.0*a*u[i] + b)*(u[i-1] + u[i+1] - 2.0*u[i])*sx)/max; else if (PetscRealPart(u[i]) > 1.0 - 2.0*tol) len2 = .5*PetscRealPart(a*.25*(u[i+1] - u[i-1])*(u[i+1] - u[i-1])*sx + ( a*u[i] + b)*(u[i-1] + u[i+1] - 2.0*u[i])*sx)/max; else len2 = .5*PetscRealPart(2.0*theta*u[i]/((1.0-u[i]*u[i])*(1.0-u[i]*u[i]))*.25*(u[i+1] - u[i-1])*(u[i+1] - u[i-1])*sx + (theta/(1.0-u[i]*u[i]))*(u[i-1] + u[i+1] - 2.0*u[i])*sx)/max; } y2 = len < 0 ? ydown : yup; PetscCall(PetscDrawArrow(draw,x,y2,x,y2+len2,PETSC_DRAW_PLUM)); break; } PetscCall(PetscDrawArrow(draw,x,y,x,y+len,PETSC_DRAW_BLUE)); } x += cnt*hx; } PetscCall(DMDAVecRestoreArrayRead(da,localU,&x)); PetscCall(DMRestoreLocalVector(da,&localU)); PetscCall(PetscDrawStringSetSize(draw,.2,.2)); PetscCall(PetscDrawFlush(draw)); PetscCall(PetscDrawSetPause(draw,pause)); PetscCall(PetscDrawPause(draw)); PetscFunctionReturn(0); } PetscErrorCode MyDestroy(void **ptr) { UserCtx *ctx = *(UserCtx**)ptr; PetscFunctionBegin; PetscCall(PetscDrawViewPortsDestroy(ctx->ports)); PetscFunctionReturn(0); } /*TEST test: TODO: currently requires initial condition file generated by heat TEST*/