Question: Can I get help with these problems? If possible, please include psuedocode and code using Java if required. will upvote. thank you! Problem 2-Sum of

Can I get help with these problems? If possible, please include psuedocode and code using Java if required. will upvote. thank you!
Can I get help with these problems? If possible, please include psuedocode
and code using Java if required. will upvote. thank you! Problem 2-Sum

Problem 2-Sum of 3 D array This problem is similar to the one given as a quiz, but in this case it pertains to a sum of a 3D array instead of a 2D array. A 3D array can be considered as a list of 2D arrays, like pieces of glass put in a line. Find the sum of each column of each 2D array, and then compute the sum of all columns in each plane. This is hard to explain with words, I hope the image provided helps. Sum of sums of columns Sum of Column Problem 3 - 3 by 3 Convolution of a Matrix A convolution is when a smaller matrix is element-wise multiplied with a subsection of another matrix. For this problem, the convolution process will have no padding. As a hint, note that the convolution process requires a sum of products and that the order of a sum does not matter and can be updated at any time (you do not need to compute a sum in one run, you can perform them partially, similar to the solution in quiz 5). Write a program that uses the cache more efficiently. Use the code naive_convolution.cpp as a reference. The following are some visualizations that help understand the process of convolution: In the following image, the purple kernel is slided over the matrix performing a convolution. Each element in the kernel is multiplied with the overlapping element in the matrix. All of this products are added. This is like an inner product between the kernel and the overlapping section of the matrix. The convolution process continues as the kernel slides one element to the left. NI 1 The resulting matrix is a smaller matrix, each containing the sum of the element-wise product between the kernel and the matrix

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