diagonalization
- noun
- /daɪəˈɡoʊnəlaɪzeɪʃən/
- Specialized
- Furthermore, the individual wavefunctions must be orthogonal to each other, and the process of orthogonalization or diagonalization scales as O(N^3).
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Watch on YouTubeYou'll be talking about diagonalization of matrices.
- You'll be talking about diagonalization of matrices.
Examples
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You'll be talking about diagonalization of matrices.
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So diagonalization, I'll say a few things about it.
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This, this, this diagonalization is only possible if S inverse makes sense.
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Heck Cantor's diagonalization is one of the more famous proofs of a negative.
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I get the same basic kind of stupid flames in a lot of different forms: arguments about Cantor's diagonalization; arguments about calculus (which I've never even written about!); arguments about surreal numbers; and worst of all, arguments about nullity.
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The professor explained the concept of diagonalization to help the students understand how to simplify the matrix.
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In linear algebra, diagonalization allows us to express a matrix in a form where only the main diagonal contains nonzero entries.
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To solve the equation efficiently, we need to perform diagonalization on this square matrix.
Surface Forms
Morphology
diagonalization = diagonalize (transparent) = diagonal + ize + ation
Formed by adding '-ation' to the verb 'diagonalize' (which is itself 'diagonal' + '-ize'), producing a standard nominalization meaning 'the process of diagonalizing.'
Etymology
Diagonalization comes from diagonal, which combines dia- meaning 'across' and angle meaning 'corner'. So, diagonalization is the process of putting a matrix into a form where the important numbers sit only on the main diagonal — a line 'across' from one corner to the other — which makes many calculations much simpler.