Exploring Numerical Methods: An Introduction to Scientific Computing Using MATLAB

Peter Linz,Richard Wang

ISBN 10: 0763714992 / ISBN 13: 9780763714994

Verlag: Jones & Bartlett Publishers December 2002, 2002

Beschreibung

Bestandsnummer des Verkäufers 243677

Bibliografische Details

• Titel: Exploring Numerical Methods: An Introduction to Scientific Computing Using MATLAB
• Verlag: Jones & Bartlett Publishers December 2002
• Erscheinungsjahr: 2002
• Sprache: Englisch
• ISBN-10: 0763714992
• ISBN-13: 9780763714994
• Einband: Hardcover
• Zustand: Used Good
• Zustand des Schutzumschlags: No Jacket
• Verkäuferkataloge:
  • Computer

Über diesen Titel

Inhaltsangabe

Exploring Numerical Methods is designed to provide beginning engineering and science students, as well as upper-level mathematics students, with an introduction to numerical analysis that emphasizes insight and hands-on experience. To serve the needs of both the younger and the more experienced audiences, each chapter begins with an intuitive presentation of motivation and simple algorithms. Topics are developed progressively within each chapter and the advanced material, which reveals underlying theory and discusses complicated methods, is clearly marked. The text takes a focused approach to introducing the most important numerical algorithms and exposes students to partial differential equations by using simple prototypes. This text provides a strong experiential basis for future study. MATLAB Provides students with the opportunity to continue the text's discussions through the implementation of methods and algorithme NASOFT Serves as a complement to MATLAB, extending MATLAB's functionality and providing functions that are coded in a straightforward manner An "Explorations" chapter Challenges students to experiment with numerical software in settings that reflect real-world situations. Students encounter the practical issues of software evaluation, selection, and modification, as they are challenged to develop solutions to open-ended problems. A chapter on inverse and ill-posed problems Exposes students to this increasingly essential topic and emphasizes the importance of thoughtful application of numerical methods

Über die Autorinnen und Autoren

Peter Linz, Professor Emeritus, University of California, Davis Peter Linz is Professor Emeritus in the Department of Computer Science at the University of California, Davis.'Linz received his Ph.D. from the University of Wisconsin.'Professor Linz's research emphasizes the development of a theory of numerical analysis that can be used in the construction of reliable numerical methods used in the design of problem-solving environments for scientific computing.'Linz has released the seventh edition of An Introduction to Formal Languages and Automata, as well as Exploring Numerical Methods: An Introduction to Scientific Computing.'

Richard L.C. Wang, Ph.DDoctor Wang received his Ph.D. in Mathematics from the University of California at Davis in 1985. Since then, Dr. Wang has worked as an algorithm developer and numerical analyst for several companies including Lockheed Missiles and Spaces, KLA and others in the silicon valley. Dr. Wang is currently working for Peoplesoft, Inc. as an algorithm specialist.