Just like the MATLAB function “isequal” checks if two MATLAB variables of any type are equal, but here floating-point numbers are considered equal if the difference is less than a set tolerance. The floating-point numbers can be double or single precision, real or complex, stored in full or sparse numeric arrays. These numeric arrays can be contained in cell and structure arrays, and any combination of these. However, note that the function might be slow for very large structures and cell arrays.
Includes the option to consider NaN-values different and to only check if numeric data is equal.
Examples:
clear
isequal(1, 1+eps)
isequaltol(1, 1+eps)
A = rand(100, 100);
B = log10(10.^A);
isequal(A, B)
isequaltol(A, B)
C.data = {sparse(A(A < 0.5) + 1i*A(A < 0.5))};
D.data = {sparse(B(B < 0.5) + 1i*B(B < 0.5))};
isequal(C, D)
isequaltol(C, D)
인용 양식
Patrik Forssén (2024). isequal Function with Tolerance (https://www.mathworks.com/matlabcentral/fileexchange/113375-isequal-function-with-tolerance), MATLAB Central File Exchange. 검색됨 .
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