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Write "heterogeneous" functions
If a program uses simulated, dynamically allocated multidimensional arrays, it becomes possible to write "heterogeneous" functions which don't have to know (at compile time) how big the "arrays" are. In other words, one function can operate on "arrays" of various sizes and shapes. The function will look something like
func2(int **array, int nrows, int ncolumns)
{
}
This function does accept a pointer-to-pointer-to-int.(We must not call this function on arrays like the "true" multidimensional array like a2 ). The function also accepts the dimensions of the arrays as parameters, so that it will know how many "rows" and "columns" there are, so that it can iterate over them correctly. Here is a function which zeros out a pointer-to-pointer, two-dimensional "array":
The probabilistic Hough transform uses random sampling instead of an accumulator array. In this approach the number of random samples r, is not specified in the OpenCV call, but
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Name the ABAP/4 Modularization techniques. Techniques are:- Source code module. Subroutines. Functions.
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