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>(
void print(const Matrix &A, const string &s, ostream &stream)
VectorValues conjugateGradientDescent(const GaussianFactorGraph &fg, const VectorValues &x, const ConjugateGradientParameters ¶meters)
Linear Factor Graph where all factors are Gaussians.
Iterative methods, template implementation.
static ConjugateGradientParameters parameters
Some support classes for iterative solvers.
VectorValues steepestDescent(const GaussianFactorGraph &fg, const VectorValues &x, const ConjugateGradientParameters ¶meters)
typedef and functions to augment Eigen's VectorXd
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