Implementing algorithms for solving sparse nonlinear systems of equations
Márcia A. Gomes-Ruggiero, José Mario Martinez, Antonio Carlos Moretti
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Agradecimentos: The authors are indebted to FINEP, CNPq and FAPESP for financial support
Abstract: In this paper we describe implementations of seven algorithms of Newton and Quasi-Newton type for solving large sparse systems of nonlinear equations. For linear algebra calculations we use a symbolic manipulation and a static data structure introduced recently by George and Ng, which...
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Abstract: In this paper we describe implementations of seven algorithms of Newton and Quasi-Newton type for solving large sparse systems of nonlinear equations. For linear algebra calculations we use a symbolic manipulation and a static data structure introduced recently by George and Ng, which allow a partial pivoting strategy for solving linear systems. We present an example of a numerical comparison of the implemented methods
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FINANCIADORA DE ESTUDOS E PROJETOS - FINEP
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ
FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP
Aberto
Implementing algorithms for solving sparse nonlinear systems of equations
Márcia A. Gomes-Ruggiero, José Mario Martinez, Antonio Carlos Moretti
Implementing algorithms for solving sparse nonlinear systems of equations
Márcia A. Gomes-Ruggiero, José Mario Martinez, Antonio Carlos Moretti
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