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a. Consider the definition-based algorithm for finding the difference betweentwo n × n matrices. What is its basic operation? How many times is itperformed as a function of the matrix order n? As a function of the totalnumber of elements in the input matrices?b. Answer the same questions for the definition-based algorithm for theinverse of a matrix

Question

a. Consider the definition-based algorithm for finding the difference betweentwo n × n matrices. What is its basic operation? How many times is itperformed as a function of the matrix order n? As a function of the totalnumber of elements in the input matrices?b. Answer the same questions for the definition-based algorithm for theinverse of a matrix

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Solution

a. The basic operation for finding the difference between two n × n matrices is subtraction. This operation is performed n^2 times, as each element in the first matrix must be subtracted from the corresponding element in the second matrix. Since an n × n matrix has n^2 elements, the number of operations is directly proportional to the total number of elements in the input matrices.

b. The basic operation for finding the inverse of a matrix is division, which is part of the process of row reduction to the identity matrix. The number of times this operation is performed depends on the specific algorithm used, but in general, it is proportional to n^3 for an n × n matrix. This is because each element may need to be updated up to n times for each of the n rows. The number of operations is not directly proportional to the total number of elements in the input matrix, as the process involves more than just a single operation on each element.

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