Problem 3072. Singular Value Decomposition

Created by goc3

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<div style = "text-align: start; line-height: 20px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: normal; text-decoration: none; white-space: normal; "><div style="display: block; min-width: 0px; padding-top: 0px; transform-origin: 332px 31.5px; vertical-align: baseline; perspective-origin: 332px 31.5px; "><div style="font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-bottom: 9px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; transform-origin: 309px 31.5px; white-space: pre-wrap; perspective-origin: 309px 31.5px; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><span style="display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; transform-origin: 0px 0px; perspective-origin: 0px 0px; "><span style="">Calculate the three matrices of the singular value decomposition (A = U*S*V^T) for each provided matrix. U and V are square unitary matrices (V^T = the transpose of V) and S contains the singular values along the diagonal.</span></span></div></div></div>

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Last Solution submitted on Aug 29, 2020

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Rafael S.T. Vieira on 29 Aug 2020

There seems to be an error at 3rd test case.

goc3 on 29 Sep 2020 at 14:13

Thanks for pointing that out, @Rafael S.T. Vieira. Test case 3 has been fixed.

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Problem 3072. Singular Value Decomposition

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Problem 3072. Singular Value Decomposition

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