December 2017
Intermediate to advanced
386 pages
10h 42m
English
Content preview from SciPy Recipes
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Getting ready
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.
|
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:
|
Functions |
Parameters |
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broyden1(F, xin[, iter, alpha, ...]) |
Find a root of a function, using Broyden's first Jacobian approximation. |
|
broyden2(F, xin[, iter, alpha, ...]) |
Find a root of a function, using Broyden's second Jacobian approximation. |
Simple iterations: ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.