December 2014
Intermediate to advanced
785 pages
29h 35m
English
Content preview from Accelerating MATLAB Performance
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524 Accelerating MATLAB
®
Performance
undocumented and unsupported function that can change without prior notice in new
MATLAB releases:
% Prepare the data vector
v = java.util.Vector;
for idx=1:10000, v.add(idx); end %10K elements
% Using the standard toArray() and cell() functions
data = reshape(cell(v.toArray),[],20); % => 500x20 cell array
⇨ Elapsed time is 0.063515 seconds.
% Using the undocumented feature(44,...) function – 5x faster
data = feature(44,v,20);
⇨ Elapsed time is 0.012380 seconds.
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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.