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42 return conjugateGradients<System, Vector, Vector>(
Ab,
x,
parameters,
true);
47 return conjugateGradients<System, Vector, Vector>(
Ab,
x,
parameters);
54 return conjugateGradients<System, Vector, Vector>(
Ab,
x,
parameters,
true);
60 return conjugateGradients<System, Vector, Vector>(
Ab,
x,
parameters);
66 return conjugateGradients<GaussianFactorGraph, VectorValues, Errors>(
72 return conjugateGradients<GaussianFactorGraph, VectorValues, Errors>(
EIGEN_STRONG_INLINE Packet4f print(const Packet4f &a)
VectorValues conjugateGradientDescent(const GaussianFactorGraph &fg, const VectorValues &x, const ConjugateGradientParameters ¶meters)
Linear Factor Graph where all factors are Gaussians.
typedef and functions to augment Eigen's VectorXd
typedef and functions to augment Eigen's MatrixXd
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Matrix< SCALARA, Dynamic, Dynamic, opt_A > A
void print(const Matrix &A, const string &s, ostream &stream)
Some support classes for iterative solvers.
static ConjugateGradientParameters parameters
Iterative methods, template implementation.
VectorValues steepestDescent(const GaussianFactorGraph &fg, const VectorValues &x, const ConjugateGradientParameters ¶meters)
gtsam
Author(s):
autogenerated on Sun Dec 22 2024 04:11:47