What separates Matlab from many other programming languages is the ability to vectorize code. Vectorization allows a programmer to write code that is more intuitive, more concise, and often faster than using standard for, while and if statements. If you have to do a large data processing task or need to create real-time application that does a large number of mathematical operations, vectorization is often a good option. However, vectorization is not always the faster alternative for time-sensitive tasks. I created tests for six tasks and compared the amount of time needed to run the vectorized and non-vectorized code. The results were mixed, showing a decrease in running time for vectorized code on some tasks and a increase in running time on other tasks. Tests involving mathematical operations ran faster using vectorized code, while tests involving conditional operators and vector creation ran faster for non-vectorized code.
|Test||Time Ratio (Vec/Non-Vec)|