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Computing the Cholesky Factorization of Sparse Matrices
Computing the Cholesky Factorization of Sparse Matrices

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Chapter VI. Inner Product Spaces.
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Understanding Rotations - Essential Math for Games Programmers

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... This approach leads in a natural way to a class of abstract spaces called the Banach spaces. Interlude – Banach spaces and linear operators In what follows we shall restrict our attention to the state spaces which are Banach spaces. To recall, a Banach space is a vector space X, equipped with a finit ...
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A proof of the multiplicative property of the Berezinian ∗

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Linear Algebra Notes

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Introduction to Linear Transformation

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A formula for all minors of the adjacency matrix and an application

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On the number of rich lines in truly high

... also that for d = 2, 3 and r sufficiently small, the condition of the theorem also cannot hold, by the Szemeredi-Trotter theorem. However, when d becomes larger, our theorem gives non trivial results (and becomes closer to optimal for large d). The proof of Theorem 1 actually shows (Lemma 3.1) that, ...
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Square Roots of-1 in Real Clifford Algebras

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Rotations - fabiograzioso.net

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spectra of large random trees

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Vector Spaces and Operators

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Square Deal: Lower Bounds and Improved Relaxations for Tensor

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Interlacement of double curves of immersed spheres

... Recall that the linking graph G of a paired tree T is an undirected graph defined in [Li04] whose vertices correspond to the pairs of edges of the paired tree and two vertices of G are connected by an edge if and only if the two corresponding pairs of edges {a1 , b1 } and {a2 , b2 } of the tree T ar ...
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Lectures on Applied Algebra II

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Basic Concepts of Linear Algebra by Jim Carrell

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Linear Algebra As an Introduction to Abstract Mathematics

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Perron–Frobenius theorem

In linear algebra, the Perron–Frobenius theorem, proved by Oskar Perron (1907) and Georg Frobenius (1912), asserts that a real square matrix with positive entries has a unique largest real eigenvalue and that the corresponding eigenvector can be chosen to have strictly positive components, and also asserts a similar statement for certain classes of nonnegative matrices. This theorem has important applications to probability theory (ergodicity of Markov chains); to the theory of dynamical systems (subshifts of finite type); to economics (Okishio's theorem, Leontief's input-output model); to demography (Leslie population age distribution model), to Internet search engines and even ranking of football teams.
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