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Sparse block-Jacobi matrices with arbitrarily accurate Hausdorff dimension
(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2010)
We show that the Hausdorff dimension of the spectral measure of a class of deterministic, i.e. nonrandom, block-Jacobi matrices may be determined with any degree of precision, improving a result of Zlatos [Andrej Zlatos,. ...
BANDWIDTH REDUCTION ON SPARSE MATRICES BY INTRODUCING NEW VARIABLES
(Universidad de Tarapacá., 2010)
COMPARING ALGORITHMS FOR SOLVING SPARSE NONLINEAR-SYSTEMS OF EQUATIONS
(Siam PublicationsPhiladelphia, 1992)
SMArtOp: A Java library for distributing high-dimensional sparse-matrix arithmetic operations
(Elsevier Science, 2017-12)
Sparse-matrix operations are commonplace in computational science, and novel solutions for speeding-up them are essential for numerous applications. SMArtOp is a software for efficiently dividing and distributing the ...
Discrete Newton's method with local variations for solving large-scale nonlinear systems
(Taylor & Francis LtdAbingdonInglaterra, 2003)
A distributed approach for accelerating sparse matrix arithmetic operations for high-dimensional feature selection
(Springer London Ltd, 2017-05)
Matrix computations are both fundamental and ubiquitous in computational science, and as a result, they are frequently used in numerous disciplines of scientific computing and engineering. Due to the high computational ...
Sparse matrices for transient simulations with computing memory reduction
(2020-06-01)
Modified numerical integration methods and modelling have been analysed for application to simulations of electromagnetic transient phenomena in transmission lines. Both objectives are considered: minimize numerical errors ...
THE STRUCTURE OF THE EIGENVECTORS OF SPARSE MATRICES
(Elsevier Science IncNew York, 1994)
A new framework for the computation of Hessians
(Taylor & Francis LtdAbingdonInglaterra, 2012)
Algoritmo de Karmarkar y matrices ralasAlgoritmo de Karmarkar y matrices ralas
(2009-02-18)
This is the second of a series of two articles en which we study the Karmarkar’s method. In this article we are going to show how can we use sparse matrix theory to get an efficient implementation of the Karmarkar’s process ...