SUMMARY
This discussion focuses on measuring the computation time of functions in MATLAB. Users recommend using the "cputime" function for elapsed time in seconds and suggest substituting it with specific functions to measure performance. Additionally, the "Profile" tool is highlighted as a comprehensive solution for profiling code execution, with commands such as "profile on" to start profiling and "profile viewer" to analyze results. For precise timing in milliseconds, users are encouraged to explore these built-in MATLAB functions.
PREREQUISITES
- Familiarity with MATLAB programming environment
- Understanding of function execution and performance measurement
- Knowledge of MATLAB's built-in functions, specifically "cputime" and "profile"
- Basic skills in analyzing profiling results
NEXT STEPS
- Learn how to use MATLAB's "cputime" function for performance measurement
- Explore the "Profile" tool in MATLAB for detailed code profiling
- Investigate the differences between "tic/toc" and "cputime" for timing functions
- Research best practices for optimizing MATLAB function performance based on profiling results
USEFUL FOR
MATLAB developers, performance analysts, and anyone interested in optimizing function execution time in MATLAB.