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とくいちぶんかい 特異値分解
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Noun
1. singular value decomposition; singular value analysis​Mathematics
Wikipedia definition
2. Singular value decomposition​In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix, with many useful applications in signal processing and statistics. Formally, the singular value decomposition of an m×n real or complex matrix M is a factorization of the form where U is an m×m real or complex unitary matrix, Σ is an m×n rectangular diagonal matrix with nonnegative real numbers on the diagonal, and V* (the conjugate transpose of V) is an n×n real or complex unitary matrix.
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