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Once and for All - Loren on the Art of MATLAB
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I was talking to my long-time colleague, Mike Croucher, who joined MathWorks team recently (yay!). About a bunch of interesting topics, some of which could be good fodder for a blog post. Today I want to talk about [URL="https://www.mathworks.com/help/matlab/ref/for.html"]for[/URL]-loops.Table of Contents[URL="https://www.labfans.com/bbs/admincp/#H_7E1A2E8A"]Nested Loops[/URL][URL="https://www.labfans.com/bbs/admincp/#H_88C6A4EE"]Straight-forward Loop Solution, Inner Loop Rows[/URL][URL="https://www.labfans.com/bbs/admincp/#H_87DC7B56"]Straight-forward Loop Solution, Inner Loop Columns[/URL][URL="https://www.labfans.com/bbs/admincp/#H_F00E8D78"]Vectorized Solution[/URL][URL="https://www.labfans.com/bbs/admincp/#H_65C30757"]Analysis[/URL][URL="https://www.labfans.com/bbs/admincp/#H_8836D5F7"]Order Matters[/URL][URL="https://www.labfans.com/bbs/admincp/#H_D1FD45C8"]Your Thoughts?[/URL]Nested LoopsIn my old Fortran programming days (yes, long gone), I learned early on that my code ran faster if I arranged my nested for-loops optimally. In Fortran, if I were computing one element at a time in a matrix, it meant making sure I filled the elements sequentially, which meant looping over each row, 1 ...[URL="https://blogs.mathworks.com/loren/?p=3972"]read more >>[/URL] [IMG]http://feeds.feedburner.com/~r/mathworks/loren/~4/L5HuFr1TSE8[/IMG] [url=http://feedproxy.google.com/~r/mathworks/loren/~3/L5HuFr1TSE8/]More...[/url] |
所有时间均为北京时间。现在的时间是 06:32。 |
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