{"push_id":564984374,"size":7,"distinct_size":2,"ref":"refs/heads/lapack_dlasd4","head":"3c6bab0979091baeaf5b7d5b744a172f6970a5ec","before":"3d2d7eed23e5df21f56daa8430d936cee6f79cd3","commits":[{"sha":"67170ce911a84d055ce60f14158ea1fa34756f26","author":{"email":"b460b6a7ea82b0bf08fdcf7a83bcb4c5718ab172@gmail.com","name":"Alexander Grigorievskiy"},"message":"DOC: Added info of recently intoduced LAPACK wrappers into linalg.lapack.py","distinct":false,"url":"https://api.github.com/repos/AlexGrig/scipy/commits/67170ce911a84d055ce60f14158ea1fa34756f26"},{"sha":"0e9209f6f8b257ee8946316ef178f7fef701a7a1","author":{"email":"b460b6a7ea82b0bf08fdcf7a83bcb4c5718ab172@gmail.com","name":"Alexander Grigorievskiy"},"message":"Modification of scipy's least-square solver function.\n\nThe work is not finished. Temporary commit.","distinct":false,"url":"https://api.github.com/repos/AlexGrig/scipy/commits/0e9209f6f8b257ee8946316ef178f7fef701a7a1"},{"sha":"f7257ff4ebd56a954c629b45b3fccc253cb5df9b","author":{"email":"b460b6a7ea82b0bf08fdcf7a83bcb4c5718ab172@gmail.com","name":"Alexander Grigorievskiy"},"message":"ENH: New LAPACK drivers are added to the least-squares solvers linalg.lstsq\n\nThe defaulf solver is changed to *gelsd. It is the optimal according to tests.\nThe new parameter is added to the function linalg.lstsq, it has a defaulf\nvalue \"gelsd\", so this change backwards compatible.","distinct":false,"url":"https://api.github.com/repos/AlexGrig/scipy/commits/f7257ff4ebd56a954c629b45b3fccc253cb5df9b"},{"sha":"5b53fbff6e877f79efd45995ece0bda0289c3e68","author":{"email":"b460b6a7ea82b0bf08fdcf7a83bcb4c5718ab172@gmail.com","name":"Alexander Grigorievskiy"},"message":"MAINT: linalg: Change default tolerance for some LAPACK drivers. Plus one bug fix.\n\nFor the drivers 'gelss', 'gelsd' values for default tolerance is assigned.\nThe reason is that if -1 is passed to LAPACK then the returned solutions are\nnot equal and wrong. Maybe this is a LAPACK problem. For 'gelsy' the default\nis increased.\nOne bug has been corrected.","distinct":false,"url":"https://api.github.com/repos/AlexGrig/scipy/commits/5b53fbff6e877f79efd45995ece0bda0289c3e68"},{"sha":"b5fe7df733b618a5089bd609d550244379dc6a9b","author":{"email":"b460b6a7ea82b0bf08fdcf7a83bcb4c5718ab172@gmail.com","name":"Alexander Grigorievskiy"},"message":"TST: linalg: Added benchmarks to test various LAPACK drivers.","distinct":false,"url":"https://api.github.com/repos/AlexGrig/scipy/commits/b5fe7df733b618a5089bd609d550244379dc6a9b"},{"sha":"83c0e347a60e421b060138801ffaeba4d43b3544","author":{"email":"b460b6a7ea82b0bf08fdcf7a83bcb4c5718ab172@gmail.com","name":"Alexander Grigorievskiy"},"message":"ENH: linalg: Adding wrapper for potentially useful LAPACK function *dlasd4.\n\nThis function computes the singular values of the diagonal matrix\naugmented by one extra column (see LAPACK documentation).\nThis functionality is used in SVD computation, but may be useful\nfor other purposes as well.","distinct":true,"url":"https://api.github.com/repos/AlexGrig/scipy/commits/83c0e347a60e421b060138801ffaeba4d43b3544"},{"sha":"3c6bab0979091baeaf5b7d5b744a172f6970a5ec","author":{"email":"b460b6a7ea82b0bf08fdcf7a83bcb4c5718ab172@gmail.com","name":"Alexander Grigorievskiy"},"message":"DOC: Added info about *lasd4 LAPACK wrapper to release notes.","distinct":true,"url":"https://api.github.com/repos/AlexGrig/scipy/commits/3c6bab0979091baeaf5b7d5b744a172f6970a5ec"}]}