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lang-cpp
class Matrix { int* array; int m_width; public: Matrix( int w, int h ) : m_width( w ), array( new int[ w * h ] ) {} ~Matrix() { delete[] array; } int at( int x, int y ) const { return array[ index( x, y ) ]; } protected: int index( int x, int y ) const { return x + m_width * y; } };
If you straighten out that code it might make sense, and might shed light on the answer above.#define ROW_COL_TO_INDEX(row, col, num_cols) (row*num_cols + col)
Then you can use it asint COLS = 4; A[ ROW_COL_TO_INDEX(r, c, COLS) ] = 75;
The overhead really affects when we do matrix multiplications which are of complexity O(n^3) or O(n^2.81) for Strassen's algorithm.a[x][y]
, what you are actually doing is*(*(a + x) + y)
: two additions and two memory fetches. Witha[index(x, y)]
, what you are actually doing is*(a + x + w*y)
: two additions, one multiplication, and one memory fetch. The latter is often preferable, for the reasons exposed in this answer (i.e., trading the extra memory fetch with a multiplication is worth it, especially because the data isn't fragmented and therefore you don't cache-miss).