Numerical Methods for Ordinary Differential Equations
A new edition of this classic work, comprehensively revised to present exciting new developments in this important subject
Numerical Methods for Ordinary Differential Equations
Numéro d'article: 22855901

Numerical Methods for Ordinary Differential Equations

Numéro d'article: 22855901

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A new edition of this classic work, comprehensively revised to present exciting new developments in this important subject
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Ce qui se démarque

Comprehensive Coverage
This edition thoroughly covers modern numerical methods, providing detailed explanations and examples that enhance understanding and application for students and professionals in engineering and mathematics.
Practical Applications
Includes numerous real-world applications of numerical methods for ordinary differential equations, bridging theory and practice to help learners see the relevance in diverse scientific fields.
User-Friendly Format
The book's structured layout, with clear sections and accessible language, makes complex concepts approachable, ideal for both classroom use and self-study for students at various levels.

Détails du produit

Get the best deals on Numerical Methods for Ordinary Differential Equations 3rd Edition at Ubuy Canada. Shop now and improve your mathematical skills with this comprehensive guide.
  • Comprehensively revised third edition of a classic work on numerical methods for ordinary differential equations.
  • Written by one of the world's leading experts in the field.
  • Presents the historical and well-established place of the subject in computational science and its role in modern applied mathematics.
  • Special emphasis on Runge-Kutta methods and general linear methods.
  • Includes the latest results on the highly efficient G-symplectic methods.
  • Suitable for senior undergraduate and graduate courses in numerical analysis and a valuable resource for research workers in applied mathematics, physics, and engineering.
Publisher Wiley
Publication date September 6, 2016
Edition 3rd
Language English
Print length 544 pages
ISBN-10 1119121507
ISBN-13 978-1119121503
Item Weight 1.8 pounds (820 grams)
Dimensions 6.24 x 1.42 x 9.24 inches (15.8 x 3.6 x 23.5 cm)

À qui est-ce destiné ?

Suitable For
  • Students

    Ideal for undergraduate and graduate students studying numerical methods and differential equations in mathematics or engineering fields.

  • Researchers

    Provides advanced methods and algorithms, beneficial for those conducting research in computational mathematics and numerical analysis.

  • Professionals

    Helpful for engineers and scientists who apply numerical methods to solve real-world differential equation problems regularly.

Not Suitable For
  • Beginners

    Not suitable for absolute beginners, as it assumes prior knowledge of differential equations and numerical techniques.

DESCRIPTION DU PRODUIT

Numerical Methods for Ordinary Differential Equations

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Product Buying Guide

Numerical Methods for Ordinary Differential Equations 3rd Edition is a comprehensive and thoroughly revised edition of a classic work authored by a renowned expert in the field. This book reflects the historical and established significance of numerical methods in computational science while highlighting their vital role in modern applied mathematics.

Product Specifications

  • Numerical Methods for Ordinary Differential Equations 3rd Edition
  • 3rd Edition
  • John Butcher
  • Senior undergraduate and graduate courses in numerical analysis, research workers in applied mathematics, physics, and engineering

Key Features

  • Presents a broad and in-depth study of numerical methods for initial value problems, offering valuable insights for students and researchers alike.
  • Special focus on Runge-Kutta methods, with significant insights from the mathematician who transformed the subject into its modern form.
  • Covers general linear methods, from being a framework for a unified theory to a source of new and practical algorithms.
  • Breaks new ground by including the latest results on highly efficient G-symplectic methods, providing strong competition with well-known symplectic Runge-Kutta methods for long-term integration of conservative mechanical systems.

Usage Scenarios

  • Serves as a key text for senior undergraduate and graduate courses in numerical analysis, providing comprehensive coverage and the latest developments in the field.
  • An essential resource for research workers in applied mathematics, physics, and engineering, offering rigorous analysis and the latest results on numerical methods.

Usage Scenarios

  • Numerical Methods for Engineers 7th Edition
  • Applied Numerical Methods with MATLAB for Engineers and Scientists 4th Edition

Some User Review

  • Readers highly appreciate the lucid style of writing and the combination of enlightening explanations with rigorous and precise analysis. The inclusion of the latest results on G-symplectic methods has been particularly well-received.

Competitors

  • Competitively priced compared to other similar textbooks in the field, making it a cost-effective investment for students and researchers.

Buying Considerations

  • The book is primarily designed for senior undergraduate and graduate students in numerical analysis, as well as research workers in applied mathematics, physics, and engineering.
  • Those seeking the latest advancements and results in numerical methods for ordinary differential equations will find this edition particularly valuable.

Conclusion

Numerical Methods for Ordinary Differential Equations 3rd Edition offers a comprehensive and updated resource for students and researchers in the field of numerical analysis, providing in-depth coverage, the latest developments, and competitive pricing.

Voir moins

Numerical Methods for Ordinary Differential Equations 3rd Edition is a comprehensive and thoroughly revised edition of a classic work authored by a renowned expert in the field. This book reflects the historical and established significance of numerical methods in computational science while highlighting their vital role in modern applied mathematics. Continue Reading

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