Replacing All Elements of Value 'a' with 'b' in Matrix m

In this example, we implement a MATLAB solution to replace all elements with value 'a' with value 'b' in matrix m. This technique is commonly used in data preprocessing scenarios such as data cleaning and data transformation. The implementation typically uses logical indexing: m(m == a) = b, where the logical condition (m == a) identifies all positions containing value 'a', and the assignment operation replaces them with value 'b' in a vectorized manner without requiring loops. For practical applications, it's crucial to ensure both code efficiency and correctness. Optimization approaches include using vectorized operations instead of iterative loops, which significantly improves execution speed, especially for large matrices. When working with large datasets, memory management considerations become essential to prevent out-of-memory errors. Preallocating arrays and clearing unused variables can help optimize memory usage. Therefore, while developing the code, we must consider these aspects to ensure both reliability and performance. Additional validation steps like checking data types and implementing error handling for edge cases further enhance code robustness in production environments.