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full:solver
(Results
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535
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/external/eigen/Eigen/src/Eigenvalues/
SelfAdjointEigenSolver.h
543
static inline void run(SolverType&
solver
, const MatrixType& mat, int options)
552
MatrixType& eivecs =
solver
.m_eivec;
553
VectorType& eivals =
solver
.m_eivalues;
613
solver
.m_info = NumericalIssue;
614
solver
.m_isInitialized = true;
615
solver
.m_eigenvectorsOk = computeEigenvectors;
666
solver
.m_info = Success;
667
solver
.m_isInitialized = true;
668
solver
.m_eigenvectorsOk = computeEigenvectors;
688
static inline void run(SolverType&
solver
, const MatrixType& mat, int options
[
all
...]
/external/apache-commons-math/src/main/java/org/apache/commons/math/linear/
CholeskyDecompositionImpl.java
187
return new
Solver
(lTData);
190
/** Specialized
solver
. */
191
private static class
Solver
implements DecompositionSolver {
197
* Build a
solver
from decomposed matrix.
200
private
Solver
(final double[][] lTData) {
LUDecompositionImpl.java
228
return new
Solver
(lu, pivot, singular);
231
/** Specialized
solver
. */
232
private static class
Solver
implements DecompositionSolver {
244
* Build a
solver
from decomposed matrix.
249
private
Solver
(final double[][] lu, final int[] pivot, final boolean singular) {
SingularValueDecompositionImpl.java
268
return new
Solver
(singularValues, getUT(), getV(), getRank() == Math
272
/** Specialized
solver
. */
273
private static class
Solver
implements DecompositionSolver {
282
* Build a
solver
from decomposed matrix.
292
private
Solver
(final double[] singularValues, final RealMatrix uT,
EigenDecomposition.java
132
* Get a
solver
for finding the A × X = B solution in exact linear sense.
133
* @return a
solver
SingularValueDecomposition.java
142
* Get a
solver
for finding the A × X = B solution in least square sense.
143
* @return a
solver
/external/apache-commons-math/src/main/java/org/apache/commons/math/ode/events/
EventState.java
151
// If an ODE
solver
is setup with an EventHandler that return STOP
154
//
solver
from the final state reached at the event with the same
160
// less than epsilon after the
solver
start in the first step should be ignored,
242
final BrentSolver
solver
= new BrentSolver(convergence);
local
250
// shift ta to make sure ga and gb get opposite signs and the
solver
won't complain
270
solver
.solve(maxIterationCount, f, ta, tb) :
271
solver
.solve(maxIterationCount, f, tb, ta);
/external/ceres-solver/internal/ceres/
trust_region_minimizer_test.cc
1
// Ceres
Solver
- A fast non-linear least squares minimizer
3
// http://code.google.com/p/ceres-
solver
/
210
// if the
solver
converges to the optimal values or not.
213
Solver
::Options solver_options;
248
Solver
::Summary summary;
388
Solver
::Options options;
390
Solver
::Summary summary;
polynomial.cc
1
// Ceres
Solver
- A fast non-linear least squares minimizer
3
// http://code.google.com/p/ceres-
solver
/
233
Eigen::EigenSolver<Matrix>
solver
(companion_matrix, false);
234
if (
solver
.info() != Eigen::Success) {
241
*real =
solver
.eigenvalues().real();
248
*imaginary =
solver
.eigenvalues().imag();
block_jacobian_writer.cc
1
// Ceres
Solver
- A fast non-linear least squares minimizer
3
// http://code.google.com/p/ceres-
solver
/
49
// Since we expect to use a Schur type linear
solver
to solve the LM step, take
/external/apache-commons-math/src/main/java/org/apache/commons/math/analysis/solvers/
BrentSolver.java
52
* Construct a
solver
for the given function.
66
* Construct a
solver
with default properties.
75
* Construct a
solver
with the given absolute accuracy.
77
* @param absoluteAccuracy lower bound for absolute accuracy of solutions returned by the
solver
85
* Contstruct a
solver
with the given maximum iterations and absolute accuracy.
88
* @param absoluteAccuracy lower bound for absolute accuracy of solutions returned by the
solver
NewtonSolver.java
39
* Construct a
solver
for the given function.
52
* Construct a
solver
.
/external/ceres-solver/examples/
more_garbow_hillstrom.cc
1
// Ceres
Solver
- A fast non-linear least squares minimizer
3
// http://code.google.com/p/ceres-
solver
/
283
Solver
::Options options;
289
Solver
::Summary summary;
314
Solver
::Options options;
320
Solver
::Summary summary;
fields_of_experts.cc
1
// Ceres
Solver
- A fast non-linear least squares minimizer
3
// http://code.google.com/p/ceres-
solver
/
fields_of_experts.h
1
// Ceres
Solver
- A fast non-linear least squares minimizer
3
// http://code.google.com/p/ceres-
solver
/
snavely_reprojection_error.h
1
// Ceres
Solver
- A fast non-linear least squares minimizer
3
// http://code.google.com/p/ceres-
solver
/
/external/eigen/Eigen/src/IterativeLinearSolvers/
ConjugateGradient.h
110
* \brief A conjugate gradient
solver
for sparse self-adjoint problems
124
* This class can be used as the direct
solver
classes. Here is a typical usage example:
182
/** Initialize the
solver
with matrix \a A for further \c Ax=b solving.
/external/ceres-solver/
Android.mk
1
# Ceres
Solver
- A fast non-linear least squares minimizer
3
# http://code.google.com/p/ceres-
solver
/
70
# Ceres
Solver
ships with a replacement for glog that provides a
177
$(CERES_SRC_PATH)/
solver
.cc \
/external/ceres-solver/jni/
Android.mk
1
# Ceres
Solver
- A fast non-linear least squares minimizer
3
# http://code.google.com/p/ceres-
solver
/
70
# Ceres
Solver
ships with a replacement for glog that provides a
168
$(CERES_SRC_PATH)/
solver
.cc \
/external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/linear/
SimplexSolver.java
42
* Build a simplex
solver
with default settings.
49
* Build a simplex
solver
with a specified accepted amount of error
/external/ceres-solver/cmake/
CreateCeresConfig.cmake
1
# Ceres
Solver
- A fast non-linear least squares minimizer
3
# http://code.google.com/p/ceres-
solver
/
/external/ceres-solver/include/ceres/
autodiff_local_parameterization.h
1
// Ceres
Solver
- A fast non-linear least squares minimizer
3
// http://code.google.com/p/ceres-
solver
/
c_api.h
1
/* Ceres
Solver
- A fast non-linear least squares minimizer
3
* http://code.google.com/p/ceres-
solver
/
/external/ceres-solver/include/ceres/internal/
numeric_diff.h
1
// Ceres
Solver
- A fast non-linear least squares minimizer
3
// http://code.google.com/p/ceres-
solver
/
variadic_evaluate.h
1
// Ceres
Solver
- A fast non-linear least squares minimizer
3
// http://code.google.com/p/ceres-
solver
/
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