Mercurial > repos > public > sbplib
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Make LaplaceCurvilinear work for coeff a and b that are scalar, grid functions, or function handles. feature/laplace_curvilinear_testMon, 27 May 2019 16:53:32 -0700, by Martin Almquist
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Generalize multiblock.evalOn() to work for a mix of function handles and grid functions feature/laplace_curvilinear_testMon, 27 May 2019 16:52:28 -0700, by Martin Almquist
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Improve Rectangle.show() feature/laplace_curvilinear_testMon, 27 May 2019 16:34:38 -0700, by Martin Almquist
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Add 2d tests for derivative of delta function, and confirm that they work. feature/laplace_curvilinear_testWed, 22 May 2019 15:31:26 -0700, by Martin Almquist
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Add derivative of delta functions and corresponding tests, tested for 1D. feature/laplace_curvilinear_testTue, 21 May 2019 18:44:01 -0700, by Martin Almquist
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Refactor diracDiscr.m by moving the helper function diracDiscr1D to a separate file. feature/laplace_curvilinear_testTue, 21 May 2019 18:10:06 -0700, by Martin Almquist
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Copy diracDiscr.m from feature/poroelastic feature/laplace_curvilinear_testTue, 21 May 2019 17:59:30 -0700, by Martin Almquist
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In LaplaceCurvilinear, use grid spacings from 1d opSets instead of using grid.scaling() feature/laplace_curvilinear_testWed, 15 May 2019 16:55:02 -0700, by Martin Almquist
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Copy-paste improved Curve class from feature/laplace_curvilinear_test feature/poroelasticMon, 13 May 2019 10:18:55 -0700, by Martin Almquist
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Copy dataSpline() from feature/laplace_curvilinear_test feature/poroelasticSat, 11 May 2019 19:19:09 -0700, by Martin Almquist
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Divergence and Gradient do not work for multi-block. Not sure how to fix, left error message for now. feature/poroelasticSat, 11 May 2019 17:52:08 -0700, by Martin Almquist
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In RungeKuttaDiscreteData, make K and U non-sparse to improve performance by roughly a factor of 3. feature/poroelasticTue, 07 May 2019 11:41:15 -0700, by Martin Almquist