This is a collection of general-purpose, non-linear multidimensional solvers. These solvers find x for which F(x) = 0. Both x and F can be multidimensional.
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Functions |
Parameters |
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newton_krylov(F, xin[, iter, rdiff, method, ...]) |
Find a root of a function, using Krylov approximation for inverse Jacobian. |
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anderson(F, xin[, iter, alpha, w0, M, ...]) |
Find a root of a function, using (extended) Anderson mixing. |
General non-linear solvers:
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Functions |
Parameters |
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broyden1(F, xin[, iter, alpha, ...]) |
Find a root of a function, using Broyden's first Jacobian approximation. |
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broyden2(F, xin[, iter, alpha, ...]) |
Find a root of a function, using Broyden's second Jacobian approximation. |
Simple iterations:
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Fucntions |
Parameters |
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excitingmixing(F, xin[, iter, alpha, ...]) |
Find a root of a function, using a tuned diagonal Jacobian approximation. |
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linearmixing(F, xin[, iter, alpha, verbose, ...]) |
Find a root of a function, using a scalar Jacobian approximation. |
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diagbroyden(F, xin[, iter, alpha, verbose, ...]) |
Find a root of a function, using diagonal Broyden Jacobian approximation. |