Numerical Methods
For Engineering and Science
Price: 1350.00 INR
ISBN:
9780195693485
Publication date:
11/10/2010
Paperback
608 pages
241.0x185.0mm
Price: 1350.00 INR
ISBN:
9780195693485
Publication date:
11/10/2010
Paperback
608 pages
241.0x185.0mm
Designed as a textbook for undergraduate and postgraduate students of engineering and science, Numerical Methods: For Engineering and Science is an attempt to explain the concepts and principles in such a way that the methods can be applied to any discipline
Suitable for: Designed as a textbook for undergraduate and postgraduate students of engineering and science, Numerical Methods
Rights: World Rights
Description
Designed as a textbook for undergraduate and postgraduate students of engineering and science, Numerical Methods: For Engineering and Science is an attempt to explain the concepts and principles in such a way that the methods can be applied to any discipline.
The book begins with an introduction to the concept of numerical method as an approximation for solving a mathematical problem and the various kinds of errors and conditions associated with such a method. Subsequently, the book provides detailed explanations of numerical methods for linear system of equations, single as well as multiple non-linear equations, approximation of functions, numerical derivatives and integrals, single and multiple ordinary differential equations, boundary value problems, and partial differential equations. The last chapter introduces some advanced topics such as approximation using rational functions, finite element methods, and multi-grid methods, for the students interested in numerical computations. The ingenious use of a popular comic character to introduce various mathematical problems is integrated throughout the book to highlight applications of different numerical methods.
Table of contents
Chapter 1. Introduction
Chapter 2. System of Linear Equations
Chapter 3. Solution of Nonlinear Equations
Chapter 4. Approximations of Functions
Chapter 5. Numerical Differentiation and Integration
Chapter 6. Ordinary Differential Equations
Chapter 7. Partial Differential Equations
Chapter 8. Advanced Topics
Features
- Provides a balanced combination of analyses and implementation of various methods to help grasp the concepts
- Describes advanced methods such as multigrid and finite elements to help the reader delve deeper into the subject
- Includes ample solved examples and exercises that are designed to bring out the finer points of numerical algorithms
- In the CD
- Programs and templates for problem solving using
- MATLAB
- C
- Excel Spreadsheets
Description
Designed as a textbook for undergraduate and postgraduate students of engineering and science, Numerical Methods: For Engineering and Science is an attempt to explain the concepts and principles in such a way that the methods can be applied to any discipline.
The book begins with an introduction to the concept of numerical method as an approximation for solving a mathematical problem and the various kinds of errors and conditions associated with such a method. Subsequently, the book provides detailed explanations of numerical methods for linear system of equations, single as well as multiple non-linear equations, approximation of functions, numerical derivatives and integrals, single and multiple ordinary differential equations, boundary value problems, and partial differential equations. The last chapter introduces some advanced topics such as approximation using rational functions, finite element methods, and multi-grid methods, for the students interested in numerical computations. The ingenious use of a popular comic character to introduce various mathematical problems is integrated throughout the book to highlight applications of different numerical methods.
Read MoreTable of contents
Chapter 1. Introduction
Chapter 2. System of Linear Equations
Chapter 3. Solution of Nonlinear Equations
Chapter 4. Approximations of Functions
Chapter 5. Numerical Differentiation and Integration
Chapter 6. Ordinary Differential Equations
Chapter 7. Partial Differential Equations
Chapter 8. Advanced Topics