グラム・シュミットの正規直交化法
1. Gram–Schmidt processIn mathematics, particularly linear algebra and numerical analysis, the Gram–Schmidt process is a method for orthonormalising a set of vectors in an inner product space, most commonly the Euclidean space R. The Gram–Schmidt process takes a finite, linearly independent set S = {v1, …, vk} for k ≤ n and generates an orthogonal set S′ = {u1, …, uk} that spans the same k-dimensional subspace of R as S.
Read “Gram–Schmidt process” on English Wikipedia
Read “グラム・シュミットの正規直交化法” on Japanese Wikipedia
Read “Gram–Schmidt process” on DBpedia
Read “Gram–Schmidt process” on English Wikipedia
Read “グラム・シュミットの正規直交化法” on Japanese Wikipedia
Read “Gram–Schmidt process” on DBpedia
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