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1109 How Do I Vectorize My Code?

Nanglik, V.P.; (1970)On the construction of systems and designs useful in the theory of random search."
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... is the problem of finding a low-rank approximation, i.e., given an m × n matrix A, find a matrix D of rank at most k so that ||A − D||F is asPsmall as possible. (For any matrix M, the Frobenius norm, ||.||F , is defined as ||M||2F = i,j Mij2 ). Alternatively, if we view the rows of A as points in Rn ...
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The Smith normal form distribution of a random integer

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3 5 2 2 3 1 3x+5y=2 2x+3y=1 replace with

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... I1 ⊆ I 2 ⊆ I 3 ⊆ . . . is a chain of ideals in R, then there is some m for which Ik = Im for all k ≥ m. Note: Commutative rings satisfying the ACC are called Noetherian. To understand what the ACC means it may be helpful to look at an example of a ring in which it does not hold. Example 4.2.2 Let C( ...
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... We fix the function of these two arguments g  ,    T F  l  ,  , t  as the result of action of functional T , under the stipulation that, values of variable  and  are constant. As a result of functional T we have matrix, the elements of matrix are values t ij  T F  l  j ,  i , t  ...
< 1 ... 45 46 47 48 49 50 51 52 53 ... 100 >

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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