Michael Baudin

Results 113 issues of Michael Baudin

- [ ] The doc of `LeastSquaresMethod` is related to the PCE. In the current doc, the `LeastSquaresMethod` (and its children classes SVD, Cholesky and QR) is related to the...

doc
metamodel

### What happened? The polynomial_sparse_least_squares theory help page can be improved: http://openturns.github.io/openturns/latest/theory/meta_modeling/polynomial_sparse_least_squares.html - [ ] The file name polynomial_sparse_least_squares.rst and the title are wrong: this method is not specific to...

doc

Clarifies the dimension of the vectors z and z'

doc
sensitivity

The goal of this PR is to provide a consistent documentation of the following API help pages: - `FunctionalChaosAlgorithm` (see [here FunctionalChaosAlgorithm](http://openturns.github.io/openturns/latest/user_manual/response_surface/_generated/openturns.FunctionalChaosAlgorithm.html) for the current API help page) - `FunctionalChaosRandomVector`...

doc
metamodel

Simplified the fill using a single Polygon, which prevents from drawing a large number of edges. This is a graphically correct way to avoid the edges issue presented in #2205....

graph

In the C++ unit tests of the `FunctionalChaosAlgorithm`, we may use the exact coefficients of the Ishigami test function. The following coefficients were computed by @regislebrun using Maple: - The...

enhancement
metamodel

### What happened? The script below produces the exception: ``` TypeError: unsupported operand type(s) for +: 'Point' and 'Point' ``` This message is not consistent with the true exception, which...

bug

### Describe your issue. The script below solves a linear least squares problem using `lstsq`. It fails with "core dumped". This was installed using Conda, with the following environment: ```bash...

defect
scipy.linalg

This PR creates marginal methods: - New `EnumerateFunction.getMarginal()` method. - New `OrthogonalProductPolynomialFactory.getMarginal()` - New `OrthogonalProductFunctionFactory.getMarginal()` - New `OrthogonalProductFunctionFactory.build(indices)` - New `OrthogonalProductPolynomialFactory.build(indices)` TODO List: - [x] Doc & test `EnumerateFunction.getMarginal()` -...

enhancement
API
metamodel

Simplified the use of KPermutationsDistribution.