How do you find the maximum sum of a matrix?

To find max path sum first we have to find max value in first row of matrix. Store this value in res. Now for every element in matrix update element with max value which can be included in max path. If the value is greater then res then update res.

How do you find the submatrix of a matrix?

To find the submatrices it does this: take for example a 1×5 submatrix, what the code does is to fix the first line of the matrix and move step by step (along all the columns of the matrix) the submatrix from the left edge of the matrix to the right edge of the matrix, then the code fixes the second row of the matrix …

In which of the following cases the maximum sum rectangle is the 2D matrix itself?

2. In which of the following cases, the maximum sum rectangle is the 2D matrix itself? Explanation: When all the elements of a matrix are positive, the maximum sum rectangle is the 2D matrix itself.

In which of the following cases will the number of insertions to form a palindrome be minimum?

worst case
In the worst case, the minimum number of insertions to be made to convert the string into a palindrome is equal to the length of the string. Explanation: In the worst case, the minimum number of insertions to be made to convert the string into a palindrome is equal to length of the string minus one.

Is a matrix a 2D array?

The two dimensional (2D) array in C programming is also known as matrix. A matrix can be represented as a table of rows and columns.

How do you find the maximum sum of a 2d array?

A matrix is given. We need to find a rectangle (sometimes square) matrix, whose sum is maximum. The idea behind this algorithm is to fix the left and right columns and try to find the sum of the element from the left column to right column for each row, and store it temporarily.

What is maximum Subarray sum problem?

The maximum subarray problem is a task to find the series of contiguous elements with the maximum sum in any given array. In this tutorial, we’ll take a look at two solutions for finding the maximum subarray in an array. One of which we’ll design with O(n) time and space complexity.