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9. Numerical linear algebra background
9. Numerical linear algebra background

Basic Linear Algebra - University of Glasgow, Department of
Basic Linear Algebra - University of Glasgow, Department of

MA135 Vectors and Matrices Samir Siksek
MA135 Vectors and Matrices Samir Siksek

... We see that positive real numbers have two real square-roots, whereas negative real numbers have two imaginary square-roots. Exercise 3.2. Which number is both real and imaginary? 4. C is a Field We can make a long list of properties of complex numbers as we did for real numbers. But it is quicker t ...
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Introduction. This primer will serve as a introduction to Maple 10 and

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... (x1 + y1 , x2 + y2 , x3 + y3 ) ; geometrically, the points 0 , x , x + y and y are successive vertices of a parellelogram in the plane determined by the three points 0 , x and y. (As is well-known, this gives a way to determine the resultant of two forces.) The above algebraic operations allow us to ...
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Instability of standing waves for non-linear Schrödinger

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Math 211

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Math 308, Linear Algebra with Applications

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Toeplitz Transforms of Fibonacci Sequences

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Matrices and Linear Algebra with SCILAB

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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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