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The state of the art in numerical analysis proceedings of the Joint IMA/SIAM Conference on the State of the Art in Numerical Analysis held at the University of Birmingham, 14-18 April 1986 edited by A. Iserles and M.J.D. Powell.

Por: Colaborador(es): Series The Institute of Mathematics and Its Applications conference series ; new ser., 9Detalles de publicación: Oxford [England] Clarendon Press New York Oxford University Press 1987.Descripción: xiv, 719 p. ill. 25 cmTipo de contenido:
Tipo de medio:
Tipo de soporte:
ISBN:
  • 0198536143
Tema(s): Clasificación CDD:
  • 511 19
Clasificación LoC:
  • QA297 .J65 1986
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Libro Biblioteca Encarnación Valdés Colección General bev 511 S797 (Navegar estantería(Abre debajo)) Disponible 80000001202434
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Descripciones mejoradas de Syndetics:

In this collection of informative essays, twenty-three leading experts provide a comprehensive review of the current state of the art of numerical analysis. Each article addresses a specialized subject, but together they present the main developments of the last decade in the design of numerical algorithms and their mathematical analysis. The contributors lead the reader from an elementary understanding of their subject to the frontiers of research in numerical analysis, making this invaluable work accessible to a range of readers and researchers. Also included are descriptions of important new methods for computer users, expositions of the current state of knowledge for students, new views of current questions for the consideration of researchers, and many references for further study.

Includes bibliographies and index.

Tabla de contenidos provista por Syndetics

  • Selections from The State of the Art in Numerical Analysis
  • 1 Eigenvalue Problems
  • 2 Numerical Linear Algebra in Statistical Computing
  • 3 Sparse Matrices
  • 4 Multivariate Approximation
  • 5 Data Approximation by Splines in One and Two Independent Variables
  • 6 Methods for Best Approximation and Regression Problems
  • 7 Branch Cuts for Complex Elementary Functions
  • 8 Recent Developments in Linear and Quadratic Programming
  • 9 Solving Systems of Non-Linear Equations by Tensor Method
  • 10 Numerical Methods for Bifurcation Problems
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