Cover image for Parametric continuation and optimal parametrization in applied mathematics and mechanics
Title:
Parametric continuation and optimal parametrization in applied mathematics and mechanics
Publication Information:
Dordrecht : Kluwer Academic Publishers, 2003
ISBN:
9781402015427
Added Author:

Available:*

Library
Item Barcode
Call Number
Material Type
Item Category 1
Status
Searching...
30000004303198 QA377 S52 2003 Open Access Book Book
Searching...

On Order

Summary

Summary

A decade has passed since Problems of Nonlinear Deformation, the first book by E.I. Grigoliuk: and V.I. Shalashilin was published. That work gave a systematic account of the parametric continuation method. Ever since, the understanding of this method has sufficiently broadened. Previously this method was considered as a way to construct solution sets of nonlinear problems with a parameter. Now it is c1ear that one parametric continuation algorithm can efficiently work for building up any parametric set. This fact significantly widens its potential applications. A curve is the simplest example of such a set, and it can be used for solving various problems, inc1uding the Cauchy problem for ordinary differential equations (ODE), interpolation and approximation of curves, etc. Research in this area has led to exciting results. The most interesting of such is the understanding and proof of the fact that the length of the arc calculated along this solution curve is the optimal continuation parameter for this solution. We will refer to the continuation solution with the optimal parameter as the best parametrization and in this book we have applied this method to variable c1asses of problems: in chapter 1 to non-linear problems with a parameter, in chapters 2 and 3 to initial value problems for ODE, in particular to stiff problems, in chapters 4 and 5 to differential-algebraic and functional differential equations.


Table of Contents

Prefacep. vii
1. Nonlinear Equations with a Parameterp. 1
1. Two forms of the method of continuation of the solution with respect to a parameterp. 1
2. The problem of choosing the continuation parameter. Replacement of the parameterp. 8
3. The best continuation parameterp. 11
4. The algorithms using the best continuation parameter and examples of their applicationp. 24
5. Geometrical visualization of step - by - step processesp. 32
6. The solution continuation in vicinity of essential singularity pointsp. 40
2. The Cauchy Problem for Ordinary Differential Equationsp. 43
1. The Cauchy problem as a problem of solution continuation with respect to a parameterp. 43
2. Certain properties of [lambda] - transformationp. 46
3. Algorithms, softwares, examplesp. 59
3. Stiff Systems of Ordinary Differential Equationsp. 67
1. Characteristic features of numerical integration of stiff system of ordinary differential equationsp. 67
2. Singular perturbed equationsp. 77
3. Stiff systemsp. 86
4. Stiff equations for partial derivativesp. 94
4. Differential--Algebraic Equationsp. 97
1. Classification of systems of DAEp. 97
2. The best argument for a system of differential - algebraic equationsp. 102
3. Explicit differential - algebraic equationsp. 106
4. Implicit ordinary differential equationsp. 110
5. Implicit differential - algebraic equationsp. 118
5. Functional - Differential Equationsp. 137
1. The Cauchy problem for equations with retarded argumentp. 137
2. The Cauchy problem for Volterra's integro--differential equationsp. 143
6. The Parametric Approximationp. 149
1. The parametric interpolationp. 150
2. The parametric approximationp. 157
3. The continuous approximationp. 162
7. Nonlinear Boundary Value Problems for Ordinary Differential Equationsp. 165
1. The equations of solution continuation for nonlinear one-dimensional boundary value problemsp. 166
2. The discrete orthogonal shooting methodp. 173
3. The algorithms for continuous and discrete continuation of the solution with respect to a parameter for nonlinear one - dimensional boundary value problemsp. 181
4. The example: large deflections of the circle archp. 189
8. Continuation of the Solution Near Singular Pointsp. 197
1. Classification of singular pointsp. 197
2. The simplest form of bifurcation equationsp. 203
3. The simplest case of branching (rank(J[superscript 0])=n-1)p. 210
4. The case of branching when rank(J[superscript 0])=n-2p. 213
Referencesp. 221
Bibliographyp. 221