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Matlab code vectorization guide: >> http://sma.cloudz.pw/download?file=matlab+code+vectorization+guide << (Download)
Matlab code vectorization guide: >> http://sma.cloudz.pw/read?file=matlab+code+vectorization+guide << (Read Online)
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By marco@chinook.physics.utoronto.ca. Ra = R .* (G * ones(1,500)); Rb = R .* repmat(G,1,500); Rc = R .* G(:,ones(1,500));. The solution proposed in the Mathworks "How Do I Vectorize My Code?" is the fastest. X2 = diag(sparse(V))*X;. If you have two matrices, which together give x and y coordinates into another matrix, eg.
28 Mar 2012 Variable types. More importantly, the slides lay out a basic strategy for eliminating unnecessary loops from your code. Sometimes you may want to keep unnecessary loops in your code to make the code easier to read or to make easier to generalize at a later time, but in many, many cases, removing a loop
Here are a couple of MathWorks tutorials I often link to as references on the subject: Code Vectorization Guide · Techniques for Improving Performance: Vectorizing Loops. And here's one of Loren's blog posts that has a nice walkthrough of code vectorization for a particular sample problem: Speeding Up
A "Vector" operation in Matlab is the ability to write condensed code to apply an action to every element of an array with a single line of code. We all know the basic operators in Math: +, -, *, /, etc. 5 + 5 produces 10;. Vectorized operators look like these basic math operators and generally do "almost" the same thing. But when
27 Oct 2017 Vectorization in MATLAB. Vectorization of array operations; Logical array operations; Matrix Operations; Why is vectorized code faster than for-loops? Measuring the performance of your MATLAB functions and scripts. Timing MATLAB functions; Time Portions of Code. The cputime() function vs. tic/toc and
Writing Fast MATLAB Code. Pascal Getreuer. August 11, 2004. Contents. 1 The Profiler. 2. 2 Array Preallocation. 3. 3 Vectorization. 5. 3.1 Vectorized Computations . However, the MATLAB programming language is parsed { code is interpreted and translated into com- MATLAB. See the MathWorks MEX-files Guide.
27 Jun 2012 Vectors and matrices are at the heart of any Matlab program. Matlab is extremely efficient at doing any operation with these. Vectorizing is the art of transforming a calculation done element by element into an operation on vectors. Here I start a serie of posts on how to vectorize your code. I had a very good
19 Sep 2012 Revise loop-based, scalar-oriented code to use MATLAB matrix and vector operations.
29 Nov 2014
Vectorized code refers to operations that are performed on multiple components of a vector at the same time (in one statement). Note that the addition (arithmetic operation) in the left code fragment is performed on all (multiple) components of the vectors a and b in one statement—the operands of the add operation are
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