Point Estimation of Root Finding Methods
β Scribed by Miodrag PetkoviΔ (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2008
- Tongue
- English
- Leaves
- 223
- Series
- Lecture Notes in Mathematics 1933
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book sets out to state computationally verifiable initial conditions for predicting the immediate appearance of the guaranteed and fast convergence of iterative root finding methods. Attention is paid to iterative methods for simultaneous determination of polynomial zeros in the spirit of Smale's point estimation theory, introduced in 1986. Some basic concepts and Smale's theory for Newton's method, together with its modifications and higher-order methods, are presented in the first two chapters. The remaining chapters contain the recent author's results on initial conditions guaranteing convergence of a wide class of iterative methods for solving algebraic equations.
These conditions are of practical interest since they depend only on available data, the information of a function whose zeros are sought and initial approximations. The convergence approach presented can be applied in designing a package for the simultaneous approximation of polynomial zeros.
β¦ Table of Contents
Front Matter....Pages i-xii
Basic Concepts....Pages 1-34
Iterative Processes and Point Estimation Theory....Pages 35-66
Point Estimation of Simultaneous Methods....Pages 67-127
Families of Simultaneous Methods of Higher Order: Part I....Pages 129-160
Families of Simultaneous Methods of Higher Order: Part II....Pages 161-195
Back Matter....Pages 197-210
β¦ Subjects
Numerical Analysis
π SIMILAR VOLUMES
<span>The problem of solving nonlinear equations and systems of equations ranks among the most signi?cant in the theory and practice, not only of applied mathematicsbutalsoofmanybranchesofengineeringsciences,physics,c- puter science, astronomy, ?nance, and so on. A glance at the bibliography and the
<p>The material contained in this book originated in interrogations about modern practice in time series analysis. β’ Why do we use models optimized with respect to one-step ahead foreca- ing performances for applications involving multi-step ahead forecasts? β’ Why do we infer 'long-term' properties