Eigen 3.4.90
doc
examples
TutorialLinAlgSVDSolve.cpp
Go to the documentation of this file.
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#include <iostream>
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#include <
Eigen/Dense
>
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4
int
main
()
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{
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Eigen::MatrixXf
A
=
Eigen::MatrixXf::Random
(3, 2);
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std::cout <<
"Here is the matrix A:\n"
<<
A
<< std::endl;
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Eigen::VectorXf
b
=
Eigen::VectorXf::Random
(3);
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std::cout <<
"Here is the right hand side b:\n"
<<
b
<< std::endl;
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std::cout <<
"The least-squares solution is:\n"
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<<
A
.bdcSvd(
Eigen::ComputeThinU
|
Eigen::ComputeThinV
).solve(
b
) << std::endl;
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}
b
Array< int, 3, 1 > b
Definition:
Array_variadic_ctor_cxx11.cpp:2
A
MatrixXcf A
Definition:
ComplexEigenSolver_compute.cpp:1
Dense
main
int main()
Definition:
TutorialLinAlgSVDSolve.cpp:4
Eigen::DenseBase::Random
static const RandomReturnType Random()
Definition:
Random.h:114
Eigen::Matrix
The matrix class, also used for vectors and row-vectors.
Definition:
Matrix.h:182
Eigen::ComputeThinV
@ ComputeThinV
Definition:
Constants.h:401
Eigen::ComputeThinU
@ ComputeThinU
Definition:
Constants.h:397