| /petsc/src/tao/unconstrained/tutorials/output/ |
| H A D | eptorsion2f_3.out | 1 iteration multiple of 5 2 iteration multiple of 5 3 iteration multiple of 5 4 iteration multiple of 5 5 iteration multiple of 5 6 iteration multiple of 5 7 iteration multiple of 5
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| H A D | rosenbrock1_23.out | 1 TAO solve did not converge due to DIVERGED_MAXFCN iteration 0
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| H A D | rosenbrock1_22.out | 1 TAO solve did not converge due to DIVERGED_MAXITS iteration 1
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| /petsc/src/ksp/ksp/tutorials/output/ |
| H A D | ex2f_2.out | 10 iteration 0 residual norm 0.1118E+01 11 iteration 0 solution vector: 12 iteration 1 residual norm 0.5916E+00 13 iteration 1 solution vector: 14 iteration 2 residual norm 0.3162E+00 15 iteration 2 solution vector: 16 iteration 3 residual norm 0.2570E-16 17 iteration 3 solution vector:
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| H A D | ex77_deflation.out | 5 …relative tolerance 1.000000000000e-05 times initial residual norm 1.926034675817e-05 at iteration 1
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| /petsc/src/snes/tutorials/output/ |
| H A D | ex15_nleqerr.out | 3 Line search: entering iteration with lambda: 1.000000000000e+00 6 Line search: entering iteration with lambda: 2.886019430766e-01 11 Line search: entering iteration with lambda: 1.000000000000e+00 14 Line search: entering iteration with lambda: 2.324329826076e-01 19 Line search: entering iteration with lambda: 1.000000000000e+00 22 Line search: entering iteration with lambda: 2.018780657684e-01 27 Line search: entering iteration with lambda: 1.000000000000e+00 30 Line search: entering iteration with lambda: 1.791551122411e-01 35 Line search: entering iteration with lambda: 1.000000000000e+00 38 Line search: entering iteration with lambda: 1.624163594771e-01 [all …]
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| H A D | ex3_4.out | 6 Checking candidate step at iteration 1 with tolerance 1. 10 Checking candidate step at iteration 2 with tolerance 1. 13 Checking candidate step at iteration 3 with tolerance 1.
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| /petsc/src/ksp/ksp/tests/raja/ |
| H A D | ex1.raja.cxx | 117 int iteration; in main() local 135 iteration = 0; in main() 162 if (iteration > maxIter) { in main() 167 iteration++; in main() 170 printf("No of iterations: %d \n \n", iteration); in main() 182 iteration = 0; in main() 212 if (iteration > maxIter) { in main() 216 iteration++; in main() 219 printf("No of iterations: %d \n \n", iteration); in main() 224 iteration = 0; in main() [all …]
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| /petsc/src/tao/leastsquares/tests/output/ |
| H A D | chwirut2_5.out | 2 TAO solve did not converge due to DIVERGED_LS_FAILURE iteration 1
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| /petsc/share/petsc/saws/js/ |
| H A D | PETSc.js | 13 var iteration = 0; variable 44 iteration ++; 45 if(iteration == 2) { //remove text
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| /petsc/doc/manual/ |
| H A D | snes.md | 42 iteration. In practice, the Newton iteration {math:numref}`newton` is 219 to be $\mathbf{A}(\mathbf{x})$. Sometimes this iteration exhibits better global 399 necessary to monitor the progress of the nonlinear iteration. In this 457 …4. update variables for the next iteration: $\lambda_j \gets \lambda_{j+1}$, $f(\lambda_j) \gets f… 558 **Choosing the Continuation Step.** For the first iteration from an equilibrium 571 Since in the first iteration, $\Delta\mathbf x = \delta\mathbf x^F = \mathbf 0$ and 592 surface at every iteration, or only when fully converged. 599 the constraint equation is not satisfied at every iteration. 612 iteration. As such, it is generally more robust. 614 iteration, $\delta\lambda$ is chosen as one of the roots of the above [all …]
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| H A D | ksp.md | 79 solution vectors. On return, the iteration number at which the iterative 87 iteration: it can also have reached the maximum number of iterations, or 476 Convergence is detected at iteration $k$ if 514 routine arguments are the iteration number, `it`, and the residual’s 528 of the residuals should be displayed at each iteration by using `-ksp_monitor` with 541 routine arguments are the iteration number (`it`) and the residual’s 558 the residual at each iteration. The routine 562 iteration computed via the Lanczos or Arnoldi algorithms. 565 residual at each iteration by actually computing the residual using the 582 Lanczos iteration. First, before the linear solve one must call [all …]
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| H A D | dmcommonality.md | 44 …or `DMStagGetGhostCorners()` and iterates over the tuples within the bounds with an inner iteration 65 vectors or arrays for said points. If needed one can then have an inner iteration over the fields a…
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| H A D | tao.md | 586 current iteration number, objective function value, gradient norm, 1631 iteration, $x_{N+1}$ is removed from the set and replaced with 1644 impacted at each iteration. 1737 At each iteration, the bound tolerance is estimated as 1769 iteration. By default, the number of BNCG iterations is set to zero and 2036 of bound constrained problems at each outer iteration 2048 iteration $k$. 2128 method using PETSc’s SNES object. After each Newton iteration, a 2131 updated after each Newton iteration. The Newton update is obtained by 2363 iteration of the code. The quantities $v_{k+\frac{1}{2}}$, [all …]
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| H A D | ts.md | 946 - `-ts_monitor` - prints the time and timestep at each iteration. 948 adaption calculation at each iteration. 957 - `-ts_monitor_draw_solution` - plots the solution at each iteration, 959 - `-ts_monitor_draw_error` - plots the error at each iteration only 963 iteration to a binary file, `TSMonitorSolution()`. Solution viewers work 969 at each iteration to a file in vtk format, 1523 to compute it at each Newton iteration. This is done with the command
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| /petsc/doc/changes/ |
| H A D | 2028.md | 45 - `SLESSolve()` now ALWAYS returns a 0 or positive iteration 57 iteration. 191 display the Newton update at each iteration.
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| H A D | 232.md | 59 iteration in as the second argument. Also the convergence test
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| H A D | 311.md | 54 iteration than requested. For example -ksp_max_it 2 resulted in 3
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| H A D | 33.md | 103 reduction per iteration instead of two blocking reductions. 108 iteration (like KSPIBCGS).
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| H A D | 36.md | 139 linear iteration SNESMonitorVI() becomes SNESVIMonitor()
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| H A D | 2015.md | 79 - Initialized iteration counter to 0 for successive calls to SNES
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| /petsc/src/sys/classes/viewer/impls/cgns/ |
| H A D | cgnsv.c | 519 PetscErrorCode PetscViewerCGNSGetSolutionIteration(PetscViewer viewer, PetscInt *iteration, PetscBo… in PetscViewerCGNSGetSolutionIteration() argument 528 PetscAssertPointer(iteration, 2); in PetscViewerCGNSGetSolutionIteration() 540 *iteration = (PetscInt)steps[cgv->solution_file_pointer_index - 1]; in PetscViewerCGNSGetSolutionIteration()
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| /petsc/src/tao/leastsquares/tutorials/ |
| H A D | tomographyGenerateData.m | 47 % Need 100/500/1000+ iteration to get good/very good/excellent result with small regularizer.
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| /petsc/src/binding/petsc4py/src/petsc4py/PETSc/ |
| H A D | KSP.pyx | 120 iterations as well as the "0-iteration" case. It is commonly 277 Used by the `Type.PREONLY` solver after the single iteration of the 938 Set the relative, absolute, divergence, and maximum iteration 990 Return the relative, absolute, divergence, and maximum iteration 1167 each iteration of the solver. 1241 Set an ADDITIONAL function to be called at every iteration to 1763 iteration of the Krylov method we remove the nullspace(A) from 2366 """The maximum number of iteration the solver may take.""" 2373 # --- iteration --- 2384 """The norm of the residual at the current iteration."""
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| /petsc/doc/overview/ |
| H A D | linear_solve_table.md | 658 * - Pipelined Conjugate Gradient over iteration pairs
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