dp with default values indicating uncalculated states.solve that takes the current row index row and the current sum sum as arguments.row is equal to the number of rows in the matrix, return the absolute difference between sum and target.dp[row][sum] is not the default value), return the stored result.minDiff to store the minimum absolute difference found so far.solve for the next row with the updated sum.minDiff with the minimum value returned by the recursive calls.minDiff in the memoization table before returning it.solve starting from the first row and a sum of 0.solve.