Title
A First Course In Numerical Analysis: Second Edition (Dover Books On Mathematics)
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This Outstanding Text By Two Wellknown Authors Treats Numerical Analysis With Mathematical Rigor, But Presents Relatively Few Theorems And Proofs. Oriented Toward Computer Solutions Of Problems, It Stresses Errors In Methods And Computational Efficiency, And It Compares Different Solutions To The Same Problem.Following An Introductory Chapter On Sources Of Error And Computer Arithmetic, The Text Covers Such Topics As Approximation And Algorithms, Interpolation, Numerical Differentiation And Numerical Quadrature, The Numerical Solution Of Ordinary Differential Equations, Functional Approximation By Least Squares And By Minimummaximum Error Techniques, The Solution Of Nonlinear Equations And Of Simultaneous Linear Equations, And The Calculation Of Eigenvalues And Eigenvectors Of Matrices.This Second Edition Also Includes Discussions Of Spline Interpolation, Adaptive Integration, The Fast Fourier Transform, The Simplex Method Of Linear Programming, And Simple And Double Qr Algorithms. Problems Some Strictly Mathematical, Others Requiring A Computer Appear At The End Of Each Chapter.
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- Q: How many pages does this book have? A: This book has six hundred twenty-four pages. It provides a comprehensive study of numerical analysis with a focus on computer-based solutions.
- Q: What is the binding type of this book? A: The binding type of this book is paperback. This makes it lightweight and easy to handle for studying.
- Q: What are the dimensions of this book? A: The dimensions of this book are five point four inches in length, one point eighteen inches in width, and eight point forty-three inches in height. These dimensions make it convenient for shelf storage.
- Q: Who is the author of this book? A: The author of this book is Anthony Ralston. He is a well-known figure in the field of numerical analysis.
- Q: What topics are covered in this book? A: This book covers various topics including approximation methods, numerical differentiation, and the solution of differential equations. It also discusses algorithms like the fast Fourier transform and QR methods.
- Q: What is the target audience for this book? A: The target audience for this book includes undergraduate and graduate students studying mathematics or engineering. It is suitable for those interested in numerical methods and computational solutions.
- Q: How can I apply the concepts from this book? A: You can apply the concepts from this book by solving numerical problems using the discussed methods and algorithms. Practical exercises at the end of each chapter enhance real-world application.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners with a basic understanding of mathematics. It starts with foundational concepts before progressing to more advanced topics.
- Q: Are there exercises included in the book? A: Yes, the book includes exercises at the end of each chapter. Some of these require computational solutions, enhancing the practical learning experience.
- Q: How should I care for this book? A: To care for this book, keep it in a dry environment and avoid exposing it to direct sunlight. This will help maintain its condition over time.
- Q: Can I return the book if I don't like it? A: Yes, you can return the book if you are not satisfied. Check the return policy of the seller for specific details regarding the timeframe and conditions.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you should contact customer support for assistance with a replacement or refund. Make sure to have your order details handy.
- Q: Is this book available in digital format? A: Yes, this book may be available in digital format. Check with the publisher or retailer for eBook options.
- Q: What is the difficulty level of the problems in this book? A: The difficulty level of the problems ranges from basic to advanced. Some require computational tools, suitable for various skill levels.
- Q: Does this book cover real-world applications of numerical analysis? A: Yes, the book covers real-world applications, including algorithms used in engineering and data analysis. This practical focus enhances its relevance.