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A Brief Introduction to Numerical Analysis

A Brief Introduction to Numerical Analysis

A Brief Introduction to Numerical Analysis
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A Brief Introduction to Numerical Analysis Hardback -

by Eugene E. Tyrtyshnikov

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Springer , pp. 202 1st Edition . Hardback. New.
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Details

  • Title A Brief Introduction to Numerical Analysis
  • Author Eugene E. Tyrtyshnikov
  • Binding Hardback
  • Edition U. S. EDITION
  • Condition New
  • Pages 220
  • Volumes 1
  • Language ENG
  • Publisher Springer , Boston, MA
  • Publication date pp. 202 1st Edition
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # 6303665
  • ISBN 9780817639167 / 0817639160
  • Weight 1.07 lbs (0.49 kg)
  • Dimensions 9.21 x 6.14 x 0.56 in (23.39 x 15.60 x 1.42 cm)
  • Category Mathematics
  • Library of Congress Catalogue Number 97000301
  • Dewey Decimal Code 519.4
  • Quantity available 4

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Reader reviews for A Brief Introduction to Numerical Analysis

From the publisher

Lecture 1.- Lecture 2.- Lecture 3.- Lecture 4.- Lecture 5.- Lecture 6.- Lecture 7.- Lecture 8.- Lecture 9.- Lecture 10.- Lecture 11.- Lecture 12.- Lecture 13.- Lecture 14.- Lecture 15.- Lecture 16.- Lecture 17.- Lecture 18.- Lecture 19.- Lecture 20.- Lecture 21.

From the rear cover

This is an advanced textbook based on lectures delivered at the Moscow Physico-Technical Institute. Brevity, logical organization of the material, and a sometimes lighthearted approach are distinctive features of this modest book. The author makes the reader an active participant by asking questions, hinting, giving direct recommendations, comparing different methods, and discussing "pessimistic" and "optimistic" approaches to numerical analysis in a short time. Since matrix analysis underlies numerical methods and the author is an expert in this field, emphasis in the book is on methods and algorithms of matrix analysis. Also considered are function approximations, methods of solving nonlinear equations and minimization methods. Alongside classical methods, new results and approaches developed over the last few years are discussed - namely those on spectral distribution theory and what it gives for design and proof of modern preconditioning strategies for large-scale linear algebra problems. Advanced students and graduate students majoring in computer science, physics and mathematics will find this book helpful. It can be equally useful for advanced readers and researchers in providing them with new findings and new accessible views of the basic mathematical framework.
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