| /petsc/src/ml/regressor/impls/linear/ |
| H A D | linear.c | 7 PetscRegressor_Linear *linear = (PetscRegressor_Linear *)regressor->data; in PetscRegressorLinearSetFitIntercept_Linear() local
10 linear->fit_intercept = flg; in PetscRegressorLinearSetFitIntercept_Linear()
16 PetscRegressor_Linear *linear = (PetscRegressor_Linear *)regressor->data; in PetscRegressorLinearSetType_Linear() local
19 linear->type = type; in PetscRegressorLinearSetType_Linear()
25 PetscRegressor_Linear *linear = (PetscRegressor_Linear *)regressor->data; in PetscRegressorLinearGetType_Linear() local
28 *type = linear->type; in PetscRegressorLinearGetType_Linear()
34 PetscRegressor_Linear *linear = (PetscRegressor_Linear *)regressor->data; in PetscRegressorLinearGetIntercept_Linear() local
37 *intercept = linear->intercept; in PetscRegressorLinearGetIntercept_Linear()
43 PetscRegressor_Linear *linear = (PetscRegressor_Linear *)regressor->data; in PetscRegressorLinearGetCoefficients_Linear() local
46 *coefficients = linear->coefficients; in PetscRegressorLinearGetCoefficients_Linear()
[all …]
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| /petsc/src/ksp/ksp/tests/output/ |
| H A D | ex14_1.out | 2 linear solve iterations = 2, xnorm=1.21872, ynorm=0.228979
4 linear solve iterations = 2, xnorm=1.23797, ynorm=0.0192507
6 linear solve iterations = 2, xnorm=1.23812, ynorm=0.000149569
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| H A D | ex14_1_alt.out | 2 linear solve iterations = 2, xnorm=1.21872, ynorm=0.228979
4 linear solve iterations = 2, xnorm=1.23797, ynorm=0.0192509
6 linear solve iterations = 2, xnorm=1.23812, ynorm=0.000149565
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| /petsc/src/ksp/pc/impls/mat/tests/output/ |
| H A D | ex1_0.out | 4 linear system matrix, which is also used to construct the preconditioner:
13 linear system matrix, which is also used to construct the preconditioner:
22 linear system matrix, which is also used to construct the preconditioner:
31 linear system matrix, which is also used to construct the preconditioner:
40 linear system matrix, which is also used to construct the preconditioner:
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| /petsc/src/ts/tutorials/output/ |
| H A D | ex3_5.out | 1 Solving a linear TS problem on 1 processor
19 total number of linear solver iterations=3
20 total number of linear solve failures=0
29 total number of linear solver iterations=1
54 linear system matrix, which is also used to construct the preconditioner:
|
| H A D | ex45_2d_p1.out | 3 Function appears to be linear
6 Function appears to be linear
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| H A D | ex45_2d_q1.out | 3 Function appears to be linear
6 Function appears to be linear
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| H A D | ex45_3d_p1.out | 3 Function appears to be linear
6 Function appears to be linear
|
| H A D | ex45_3d_q1.out | 3 Function appears to be linear
6 Function appears to be linear
|
| H A D | ex45_3d_q2.out | 3 Function appears to be linear
6 Function appears to be linear
|
| H A D | ex53_3d_cryer.out | 3 Function appears to be linear
6 Function appears to be linear
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| H A D | ex45_2d_q2.out | 3 Function appears to be linear
6 Function appears to be linear
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| H A D | ex45_3d_p2.out | 3 Function appears to be linear
6 Function appears to be linear
|
| H A D | ex45_2d_p2.out | 3 Function appears to be linear
6 Function appears to be linear
|
| H A D | ex45_egads_sphere.out | 3 Function appears to be linear
6 Function appears to be linear
|
| H A D | ex3_4.out | 1 Solving a linear TS problem on 1 processor
19 total number of linear solver iterations=3
20 total number of linear solve failures=0
29 total number of linear solver iterations=1
54 linear system matrix, followed by the matrix used to construct the preconditioner:
|
| H A D | ex53_2d_mandel.out | 3 Function appears to be linear
9 Function appears to be linear
|
| H A D | ex30_0_dirk.out | 23 step 0 stage 0 nonlinear its 0, linear its 0
26 step 0 stage 1 nonlinear its 1, linear its 1
29 step 0 stage 2 nonlinear its 1, linear its 1
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| /petsc/src/ksp/ksp/tutorials/output/ |
| H A D | ex88f_2.out | 26 linear system matrix, which is also used to construct the preconditioner:
41 Running MPI linear solver server directly on rank 0 due to its small size
44 linear system matrix, which is also used to construct the preconditioner:
76 linear system matrix, which is also used to construct the preconditioner:
91 Running MPI linear solver server directly on rank 0 due to its small size
94 linear system matrix, which is also used to construct the preconditioner:
101 MPI linear solver server statistics:
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| H A D | ex89f_2.out | 26 linear system matrix, which is also used to construct the preconditioner:
41 Running MPI linear solver server directly on rank 0 due to its small size
44 linear system matrix, which is also used to construct the preconditioner:
76 linear system matrix, which is also used to construct the preconditioner:
91 Running MPI linear solver server directly on rank 0 due to its small size
94 linear system matrix, which is also used to construct the preconditioner:
101 MPI linear solver server statistics:
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| H A D | ex87_1_system-elasticity.out | 20 linear system matrix, which is also used to construct the preconditioner:
41 linear system matrix, followed by the matrix used to construct the preconditioner:
76 linear system matrix, which is also used to construct the preconditioner:
79 linear system matrix, which is also used to construct the preconditioner:
90 linear system matrix, followed by the matrix used to construct the preconditioner:
126 linear system matrix, which is also used to construct the preconditioner:
128 linear system matrix, which is also used to construct the preconditioner:
130 linear system matrix, which is also used to construct the preconditioner:
143 linear system matrix, which is also used to construct the preconditioner:
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| H A D | ex87_1_system-stokes.out | 17 linear system matrix, which is also used to construct the preconditioner:
38 linear system matrix, followed by the matrix used to construct the preconditioner:
73 linear system matrix, which is also used to construct the preconditioner:
76 linear system matrix, which is also used to construct the preconditioner:
87 linear system matrix, followed by the matrix used to construct the preconditioner:
123 linear system matrix, which is also used to construct the preconditioner:
125 linear system matrix, which is also used to construct the preconditioner:
127 linear system matrix, which is also used to construct the preconditioner:
140 linear system matrix, which is also used to construct the preconditioner:
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| /petsc/src/snes/tutorials/output/ |
| H A D | ex12_p4est_full_q2_conformal_serial.out | 23 total number of linear solver iterations=5
38 linear system matrix, which is also used to construct the preconditioner:
50 total number of linear solver iterations=15
68 linear system matrix, which is also used to construct the preconditioner:
81 total number of linear solver iterations=30
99 linear system matrix, which is also used to construct the preconditioner:
109 total number of linear solver iterations=0
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| H A D | ex12_p4est_full_q2_conformal_serial_plex.out | 23 total number of linear solver iterations=5
38 linear system matrix, which is also used to construct the preconditioner:
50 total number of linear solver iterations=15
68 linear system matrix, which is also used to construct the preconditioner:
81 total number of linear solver iterations=30
99 linear system matrix, which is also used to construct the preconditioner:
109 total number of linear solver iterations=0
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| /petsc/doc/manual/ |
| H A D | regressor.md | 37 The code presented {any}`below <regressor-ex3>` solves an ordinary linear
45 `REGRESSOR_LINEAR_OLS`, which is a sub-type of linear regressor,
47 By "linear" we mean that the model $f(x, \theta)$ is linear in its coefficients $\theta$
48 but not necessarily linear in its features $x$.
77 The application code can specify the options used by underlying linear,
132 - ``linear``
148 The `PETSCREGRESSORLINEAR` (`-regressor_type linear`) implementation
149 constructs a linear model to reduce the sum of squared differences
154 Currently, linear regressor has three types, which are described
199 a vector of the model coefficients from a linear regression model via
|