matrix-product codesdecoding algorithmminimum distanceWe propose a decoding algorithm for the (u | u + v)-construction that decodes up to half of the minimum distance of the linear code. We extend this algorithm for a class of matrix-product codes in two different ways. In some cases, one...
19. Large 2D Array Matrix Product Optimization Write a function to calculate the matrix product of two large 2D NumPy arrays using nested for loops. Optimize it using NumPy's matmul() function. Sample Solution: Python Code: importnumpyasnp# Generate two large 2D NumPy arrays with random intege...
Can you solve this real interview question? Maximum Non Negative Product in a Matrix - You are given a m x n matrix grid. Initially, you are located at the top-left corner (0, 0), and in each step, you can only move right or down in the matrix. Among al
Matrix-product self-dual codes 来自知网 作者JS Yang,L Chang摘要 Blackmore and Norton introduced the definitions of matrix-product codes,giving their dual codes,but did not do any st... 关键词matrix-product code / self-dual code / linear code /...
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Perform matrix multiplication and division on any number of matrix inputs The Product block performs scalar or matrix multiplication, depending on the value of the Multiplication parameter. The block accepts one or more inputs, depending on the Number of inputs parameter. The Number of inputs par...
238. Product of Array Except SelfMedium Topics Companies Hint Given an integer array nums, return an array answer such that answer[i] is equal to the product of all the elements of nums except nums[i]. The product of any prefix or suffix of nums is guaranteed to fit in a 32-bit ...
When we say a scalar, a vector or a matrix is zero, we mean it is close to zero measured by tol and some reference value in the sense illustrated by the following code snippet. Sign in to download full-size image Direct Algorithms of Linear Equations Solution [29] For the generality,...
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