- 05 Jan, 2018 1 commit
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Matthew David Pitkin authored
- in addition to changing the to the use the iterated Gram-Schmidt algorithm from the greedycpp code, this also changes the validation and enrichment method, making it more efficient - the code in LALapps's ppe_roq.c has be modified to reflect these changes
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- 22 Dec, 2017 1 commit
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Matthew David Pitkin authored
- in addition to changing the to the use the iterated Gram-Schmidt algorithm from the greedycpp code, this also changes the validation and enrichment method, making it more efficient - the code in LALapps's ppe_roq.c has be modified to reflect these changes
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- 29 Jun, 2016 2 commits
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Matthew David Pitkin authored
LALInferenceGenerateROQ.[ch]: Added functions to enrich the whole training set rather than directly enriching the reduced basis - the prevents some numerical precision issues seen from doing the latter - refs #4123 Original: 0d28a3f04addd71060053fddcbbab692e727482c
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Matthew David Pitkin authored
- rather than passing gsl_matrix and gsl_vector variables to functions we now pass LALsuite Arrays and Vectors - enriching a reduced basis given new training data can be performed - the <h|h> quadratic terms are now assumed to be computed using a reduced basis formed from a training set of the quadratic - refs #4123 Original: 8bc5cb67293844584837d0280c137ce38f6e5138
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- 17 Dec, 2014 1 commit
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Matthew David Pitkin authored
LALInferenceGenerateROQ: added functions to generate an orthonormal basis from a training set and an ROQ interpolant. - closes #1742 Original: 1cca4d780c0d92c3a38a459fb1596c21acb4f83b
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