Eigen 3.4.90
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snippets
PartialPivLU_solve.cpp
Go to the documentation of this file.
1
MatrixXd
A
= MatrixXd::Random(3,3);
2
MatrixXd
B
= MatrixXd::Random(3,2);
3
cout <<
"Here is the invertible matrix A:"
<< endl <<
A
<< endl;
4
cout <<
"Here is the matrix B:"
<< endl <<
B
<< endl;
5
MatrixXd
X
=
A
.lu().solve(
B
);
6
cout <<
"Here is the (unique) solution X to the equation AX=B:"
<< endl <<
X
<< endl;
7
cout <<
"Relative error: "
<< (
A
*
X
-
B
).norm() /
B
.norm() << endl;
A
MatrixXd A
Definition:
PartialPivLU_solve.cpp:1
B
MatrixXd B
Definition:
PartialPivLU_solve.cpp:2
X
MatrixXf X
Definition:
SelfAdjointEigenSolver_compute_MatrixType.cpp:2
Eigen::MatrixXd
Matrix< double, Dynamic, Dynamic > MatrixXd
DynamicĂ—Dynamic matrix of type double.
Definition:
Matrix.h:502
Code