![]() This article will only use the MATLAB Profiler as it changed its look and feel in R2020a with Flame Graph. People with a strong software background will write Unit Tests and use the Performance Testing Framework that MathWorks provides. ![]() More proficient users will probably use the MATLAB Profiler. Most people will start with tic, toc command. The natural question is: what is a good method to iteratively try different algorithms and test their performance. The MATLAB code for a recursive implementation of finding the nth Fibonacci number in MATLAB looks like this: function out = myFib1(in)Īt first glance this looks elegant and works nicely until a large value of in is used. In Computer Science the Fibonacci Sequence is typically used to teach the power of recursive functions. This article will help speed up that learning curve, with a simple example of calculating the nth number in a Fibonacci Sequence. ![]() This article will focus on MATLAB Profiler as a tool to help improve MATLAB code.Īs people improve their MATLAB skills they also develop a methodology and a deeper understanding of MATLAB to write better code. This is great for researchers, but as algorithms become more complex it can lead to a misconception that MATLAB is slow. One of the reasons why people use MATLAB is that it enables users to express and try out ideas very quickly, without worrying too much about programming. ![]()
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