| Commit message (Collapse) | Author | Age |
|
|
|
|
|
| |
=> row-major rhs are now evaluated to a column-major
temporary before the computations.
Add solveInPlace in Cholesky*
|
| |
|
| |
|
| |
|
|
|
|
| |
template parameter for matrices.
|
|
|
|
|
|
| |
const (maybe completely
useless but at least doesn't hurt)
|
|
|
|
| |
now the backends are well separated from the default impl, etc.
|
|
|
|
| |
CHOLMOD backend.
|
| |
|
|
|
|
|
| |
* bidirectionnal mapping
* full cholesky factorization
|
| |
|
| |
|
|
|
|
|
|
|
|
|
|
| |
* several fixes (transpose, matrix product, etc...)
* Added a basic cholesky factorization
* Added a low level hybrid dense/sparse vector class
to help writing code involving intensive read/write
in a fixed vector. It is currently used to implement
the matrix product itself as well as in the Cholesky
factorization.
|
|
|
|
|
|
| |
However, for matrices larger than 5, it seems there is constantly a quite large error for a very
few coefficients. I don't what's going on, but that's certainely not due to numerical issues only.
(also note that the test with the pseudo eigenvectors fails the same way)
|
|
|
|
|
|
|
|
| |
* eigenvectors => pseudoEigenvectors
* added pseudoEigenvalueMatrix
* clear the documentation
* added respective unit test
Still missing: a proper eigenvectors() function.
|
| |
|
| |
|
| |
|
| |
|
| |
|
|
|
|
| |
* documentation improvements, especially in quickstart guide
|
|
|
|
| |
issue with custom types
|
|
|
|
|
|
| |
registers)
* extend the documentation on "extending Eigen"
|
|
|
|
| |
.finished())
|
| |
|
|
|
|
|
|
| |
based on the former.
* opengl_demo: makes IcoSphere better (vertices are instanciated only once) and
removed the generation of a big geometry for the fancy spheres...
|
|
|
|
|
|
| |
- quaternion vs euler angles interpolation (though the Euler angle version looks a bit too bad)
- navigation using either a mapping from 2D screen coordinates to 3D points on a sphere
or the standard approach mapping mouse displacements as rotations around camera's axes.
|
|
|
|
|
| |
stable trackball for the fly navigation mode, and started
to put some GUI elements...
|
| |
|
| |
|
| |
|
| |
|
|
|
|
| |
stable as LU with full pivoting)
|
| |
|
|
|
|
|
|
| |
add unit-tests for it.
* remove "using namespace std" in test/main.h such that the compilation
bug found today in SVD won't happen again.
|
|
|
|
|
|
| |
* CholeskyWithoutSqrt with 1x1 matrices
* .part<Diagonal>()
Updated unit tests to handle these cases
|
|
|
|
|
|
| |
mat.cwise() < 2
instead of:
mat.cwise() < MatrixType::Constant(mat.rows(), mat.cols(), 2)
|
|
|
|
|
|
|
|
| |
operator.
Example:
mat = (mat.cwise().abs().cwise() < Ones()).select(0,mat);
replaces all small values by 0. (the scalar version is "s = abs(s)<1 ? 0 : s")
|
| |
|
|
|
|
|
| |
Anyway: LinearVectorization+CompleteUnrolling actually uses the InnerVectorization
unrollers, so these two cases could be merged to a single one...
|
| |
|
| |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| |
* add a WithAlignedOperatorNew class with overloaded operator new
* make Matrix (and Quaternion, Transform, Hyperplane, etc.) use it
if needed such that "*(new Vector4) = xpr" does not failed anymore.
* Please: make sure your classes having fixed size Eigen's vector
or matrice attributes inherit WithAlignedOperatorNew
* add a ei_new_allocator STL memory allocator to use with STL containers.
This allocator really calls operator new on your types (unlike GCC's
new_allocator). Example:
std::vector<Vector4f> data(10);
will segfault if the vectorization is enabled, instead use:
std::vector<Vector4f,ei_new_allocator<Vector4f> > data(10);
NOTE: you only have to worry if you deal with fixed-size matrix types
with "sizeof(matrix_type)%16==0"...
|
| |
|
|
|
|
|
| |
Block specialization for sparse matrices.
InnerIterators for Blocks and fixes in CoreIterators.
|
|
|
|
|
|
| |
few bits left of the comma and for floating-point types will never return zero.
This replaces the custom functions in test/main.h, so one does not anymore need
to think about that when writing tests.
|
|
|
|
| |
and rename NonAfine => Projective, GenericAffine => Affine, NoScaling => Isometry
|
| |
|
| |
|
| |
|