2 edition of **Numerical methods for non-linear problems** found in the catalog.

Numerical methods for non-linear problems

- 189 Want to read
- 3 Currently reading

Published
**1980**
by Pineridge press in Swansea
.

Written in English

- Engineering mathematics -- Congresses.,
- Mathematical analysis -- Congresses.,
- Nonlinear theories -- Congresses.,
- Numerical calculations -- Congresses.

**Edition Notes**

Statement | edited by: C. Taylor, E. Hinton, D.R.J. Owen. Vol.1. |

Contributions | Taylor, C. 1936-, Hinton, E., Owen, D. R. J. |

Classifications | |
---|---|

LC Classifications | TA347.N/ |

The Physical Object | |

Pagination | 1104 p. : |

Number of Pages | 1104 |

ID Numbers | |

Open Library | OL21586044M |

ISBN 10 | 0906674093 |

Non-linear operator equations connected with the discussion of infinite-dimensional spaces (see, for example –) are a very broad mathematical concept, including as special cases, for example, non-linear integral equations and non-linear boundary value problems. Numerical methods for the approximate solution of them include also methods for. method. We also examined numerical methods such as the Runge-Kutta methods, that are used to solve initial-value problems for ordinary di erential equations. However these problems only focused on solving nonlinear equations with only one variable, rather than nonlinear equations with several variables. The goal of this paper is to examine Cited by: 3.

Numerical Methods for Non-Linear Problems Edited by: C. Taylor, E. Hinton, D. R. J. Owen Department of Civil Engineering, University College, Swansea, U. K. Description: Designed as an introduction to numerical methods for students, this book combines mathematical correctness with numerical performance, and concentrates on numerical methods and problem solving. It applies actual numerical solution strategies to formulated process models to help identify and solve chemical engineering problems.

Numerical Methods and Data Analysis 28 determined by the analyst and he must be careful not to aim too high and carry out grossly inefficient calculations, or too low and obtain meaningless results. We now turn to the solution of linear algebraic equations and problems involving matrices associated with File Size: KB. Handbook on Numerical Methods for Hyperbolic Problems: Applied and Modern Issues details the large amount of literature in the design, analysis, and application of various numerical algorithms for solving hyperbolic equations that has been produced in the last several decades. This volume provides concise summaries from experts in different types of algorithms, so that readers can .

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Numerical Methods for Nonlinear Variational Problems - Ebook written by Roland Glowinski. Read this book using Google Play Books app on your PC, android, iOS devices.

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Genre/Form: Conference papers and proceedings Congresses: Additional Physical Format: Online version: Numerical methods for non-linear problems. Swansea, U.K. The problem of solving non-linear equations arises frequently and naturally from the study of a wide range of practical problems.

The problem may involve one or a system of non-linear equations in many variables. In this chapter, general methods of solving non-linear equations are presented, together with specific methods for polynomial equations. Finite element approximations and non-linear relaxation, augmented Lagrangians, and nonlinear least square methods are all covered in detail, as are many applications.

"Numerical Methods for Nonlinear Variational Problems" originally published in the "Springer Series in Computational Physics" is a classic in applied mathematics and Cited by: The first version of Numerical Methods for Nonlinear Variational Problems was, in fact, part of a set of monographs on numerical mat- matics published, in a short span of time, by the Tata Institute of Fun- mental Research in its well-known series Lectures on Mathematics and Physics; as might be expected, the first version systematically used.

"Numerical Methods for Nonlinear Variational Problems", originally published in the Springer Series in Computational Physics, is a classic in applied mathematics and computational physics and engineering. This long-awaited softcover re-edition is still a valuable resource for practitioners in industry and physics and for advanced : Springer-Verlag Berlin Heidelberg.

Numerical methods for non-linear problems Paperback – January 1, See all formats and editions Hide other formats and editions. Price New from Used from Paperback "Please retry" — — $ Paperback from $ Format: Paperback. numerical methods for Civil Engineering majors during and was modi ed to include Mechanical Engineering in The materials have been periodically updated since then and underwent a major revision by the second author in The main goals of these lectures are to introduce concepts of numerical methods and introduce.

Numerical methods vary in their behavior, and the many different types of differ-ential equation problems affect the performanceof numerical methods in a variety of ways. An excellent book for “real world” examples of solving differential equations is that of Shampine, Gladwell, and Thompson [74].File Size: 1MB.

This video lecture you to concept of Nonlinear Equations with Solution in Numerical Methods. Understand the concept of Nonlinear Equations. The book is divided into three parts, covering topics in numerical linear algebra, methods of interpolation, numerical differentiation and integration, solutions of differential equations, linear and non-linear programming problems, and optimal control problems.

This book has the following advantages. Theory and Applications of Numerical Analysis is a self-contained Second Edition, providing an introductory account of the main topics in numerical analysis.

The book emphasizes both the theorems which show the underlying rigorous mathematics andthe algorithms which define precisely how to program the numerical methods. Lecture Notes on Numerical Analysis of Nonlinear Equations. This book covers the following topics: The Implicit Function Theorem, A Predator-Prey Model, The Gelfand-Bratu Problem, Numerical Continuation, Following Folds, Numerical Treatment of Bifurcations, Examples of Bifurcations, Boundary Value Problems, Orthogonal Collocation, Hopf Bifurcation and Periodic Solutions, Computing Periodic.

Systems of Non-Linear Equations Newton’s Method for Systems of Equations It is much harder if not impossible to do globally convergent methods like bisection in higher dimensions.

A good initial guess is therefore a must when solving systems, and Newton’s method can be used to re ne the guess.

The rst-order Taylor series is f xk + x ˇf xk File Size: KB. used the material from our book, Numerical Methods for Scientific and Engineering Computation, published by the same publishers. This book is the outcome of the request of Mr.

Saumya Gupta File Size: 1MB. Get this from a library. Numerical methods for non-linear problems: proceedings of the international conference held at Dubrovnik, Yugoslavia, 15thth September, [C Taylor;].

Numerical Methods is a mathematical tool used by engineers and mathematicians to do scientific calculations. It is used to find solutions to applied problems where ordinary analytical methods fail. This book is intended to serve for the needs of courses in Numerical Methods at the Bachelors' and Masters' levels at various universities.

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Numerical Methods, Algorithms and Tools in C# presents a broad collection of practical, ready-to-use mathematical. Numerical Methods, Algorithms and Tools in C# presents a broad collection of practical, ready-to-use mathematical routines employing the exciting, easy-to-learn C# programming language from Microsoft.

The book focuses on standard numerical methods, novel object-oriented techniques, and the latest programming environment. Numerical Methods For Non-Linear Variational Problems By R.

Glowinski Notes by G. Vijayasundaram Adimurthi Published for the Tata Institute of Fundamental Research, Bombay Springer-Verlag Berlin Heidelberg New York. Description: This book is a concise and lucid introduction to computer oriented numerical methods with well-chosen graphical illustrations that give an insight into the mechanism of various methods.

The book develops computational algorithms for solving non-linear algebraic equation, sets of linear equations, curve-fitting, integration.linear algebra, and the central ideas of direct methods for the numerical solution of dense linear systems as described in standard texts such as [7], [],or[].

Our approach is to focus on a small number of methods and treat them in depth. Though this book is written in a ﬁnite-dimensional setting, we.is a platform for academics to share research papers.