Eigen 3.4.90
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snippets
LLT_solve.cpp
Go to the documentation of this file.
1
typedef
Matrix<float,Dynamic,2>
DataMatrix
;
2
// let's generate some samples on the 3D plane of equation z = 2x+3y (with some noise)
3
DataMatrix
samples
= DataMatrix::Random(12,2);
4
VectorXf
elevations
= 2*
samples
.col(0) + 3*
samples
.col(1) + VectorXf::Random(12)*0.1;
5
// and let's solve samples * [x y]^T = elevations in least square sense:
6
Matrix<float,2,1>
xy
7
= (
samples
.adjoint() *
samples
).llt().solve((
samples
.adjoint()*
elevations
));
8
cout <<
xy
<< endl;
xy
Matrix< float, 2, 1 > xy
Definition:
LLT_solve.cpp:7
DataMatrix
Matrix< float, Dynamic, 2 > DataMatrix
Definition:
LLT_solve.cpp:1
samples
DataMatrix samples
Definition:
LLT_solve.cpp:3
elevations
VectorXf elevations
Definition:
LLT_solve.cpp:4
Eigen::VectorXf
Matrix< float, Dynamic, 1 > VectorXf
Dynamic×1 vector of type float.
Definition:
Matrix.h:501
Code
