Matrix processing refers to the manipulation and analysis of data organized in a two-dimensional array, known as a matrix. Each element in a matrix can represent various types of information, such as numbers or symbols, making it a fundamental structure in fields like mathematics, computer science, and data analysis. In practical applications, matrix processing is essential for tasks such as image processing, machine learning, and solving systems of equations. Techniques like matrix multiplication and transposition allow for efficient computations, enabling algorithms to perform complex operations on large datasets quickly and effectively.