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Linear Algebra – Hacker Rank Solution Disclaimer: The above Python Problems are generated by Hacker Rank but the Solutions are Provided by CodingBroz . These tutorials are only for Educational and Learning Purpose.
One more thing to add, don’t directly look for the solutions, first try to solve the problems of Hackerrank by yourself. If you find any difficulty after trying several times, then you can look for solutions. Linear Algebra in Python HackerRank Solutions report this ad Problem
What makes this problem extra challenging is that the given matrix M is not diagonalizable. It has a single eigenvalue lambda = 1, and the corresponding eigenspace is unfortunately only one dimensional, spanned by the eigenvector v1 = (-3, 1).
Dec 8, 2020 · the above hole problem statement is given by hackerrank.com but the solution is generated by the codeworld19 authority if any of the query regarding this post or website fill the following contact form thank you.
# Find the solution [x, y] for the matrix equation xA + yI = -A^2, where x and y are scalars A = np. array ([[1, 1, 0], [0, 1, 0], [0, 0, 1]]) # The identity matrix I = np. identity (3) # Convert system to the form Bz = c: # B is a two column matrix whose columns are flattened A and I. B = np. array ([A. flatten (), I. flatten ()]). transpose # 9 x2 matrix # c is a column vector that is flattened A^2. c =-1 * np. linalg. matrix_power (A, 2). flatten (). transpose # 9 x1 matrix print (c ...
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Problem page - HackerRank | Linear Algebra Foundations #1 - Matrix Addition
