Results 31 to 40 of about 231,311 (211)
The singular value decomposition (SVD) is an important tool in matrix theory and numerical linear algebra. Research on the efficient numerical algorithms for computing the SVD of a matrix is extensive in the past decades.
Yonghong Duan, Ruiping Wen
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C*-Algebras and Numerical Linear Algebra
24 pages, AMS-TeX 2 ...
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An Algebraic-Based Primal–Dual Interior-Point Algorithm for Rotated Quadratic Cone Optimization
In rotated quadratic cone programming problems, we minimize a linear objective function over the intersection of an affine linear manifold with the Cartesian product of rotated quadratic cones.
Karima Tamsaouete, Baha Alzalg
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More on (𝜶,𝜷)-Normal Operators in Hilbert Spaces
We study some properties of (𝛼,𝛽)-normal operators and we present various inequalities between the operator norm and the numerical radius of (𝛼,𝛽)-normal operators on Banach algebra ℬ(ℋ) of all bounded linear operators 𝑇∶ℋ→ℋ, where ℋ is Hilbert space.
Rasoul Eskandari +2 more
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A novel scheme for the hyperbolic partial differential equation through Fibonacci wavelets
In this study, we generated the operational matrices of integration based on the Fibonacci wavelets through the concept of linear algebra and developed the novel technique known as the Fibonacci wavelet collocation method (FWCM).
S Kumbinarasaiah, Mallanagoud Mulimani
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Numerical Linear Algebra [PDF]
Many methods of computational statistics lead to matrix-algebra or numerical- mathematics problems. For example, the least squares method in linear regression reduces to solving a system of linear equations.
Čížek, Pavel, Čížková, Lenka
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Numerical Approximations of Diblock Copolymer Model Using a Modified Leapfrog Time-Marching Scheme
An efficient modified leapfrog time-marching scheme for the diblock copolymer model is investigated in this paper. The proposed scheme offers three main advantages.
Lizhen Chen +3 more
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Parallel numerical linear algebra [PDF]
We survey general techniques and open problems in numerical linear algebra on parallel architectures. We first discuss basic principles of paralled processing, describing the costs of basic operations on parallel machines, including general principles for constructing efficient algorithms.
James W. Demmel +2 more
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Error analysis of QR algorithms for computing Lyapunov exponents [PDF]
Lyapunov exponents give valuable information about long term dynamics. The discrete and continuous QR algorithms are widely used numerical techniques for computing approximate Lyapunov exponents, although they are not yet supported by a general error ...
Higham, D.J., McDonald, E.J.
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Range Space and Similarity Transformation Using Symbolic Mathematics in Python
Linear systems involved in engineering and scientific calculations can be more easily analyzed using similarity transformation. However, understanding the numerous abstract linear algebra theorems associated with this transformation can be challenging ...
Chainarong Wisassakwichai +1 more
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