Implement w1 \ w2 for objects >> w = w1 \ w2 if w1, w2 are objects of the same size: - the operation is performed element-by-element if one of w1 or w2 is numeric: - if a scalar, apply to each element of the object numeric array - if an array of the same size as the object numeric array, apply element by element w1, w2 can be arrays: - if objects have same array sizes, then add element-by-element - if an (n+m)-dimensional array, the inner n dimensions will be combined element by element with the object numeric array (where n is the dimensionality of the object numeric array), and the outer m dimensions must match the array size of the array of objects % Overloaded methods: sqw/mldivide testsigvar/mldivide sigvar/mldivide IX_dataset_3d/mldivide IX_dataset_2d/mldivide IX_dataset_1d/mldivide sqw/mldivide sigvar/mldivide d4d/mldivide d3d/mldivide d2d/mldivide d1d/mldivide d0d/mldivide codistributed/mldivide gpuArray/mldivide timeseries/mldivide % Reference page in Help browser doc mldivide