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The Theory and Applications of Iteration Methods

The theory and applications of Iteration Methods is a very fast-developing field of numerical analysis and computer methods. The second;

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A Contemporary Study of Iterative Methods

applied sciences. It uses the popular iteration technique in generating the approximate solutions of complex nonlinear equations that is suitable;

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Effective Selling Techniques 1.0.1

edition includes coverage of fixed point iteration for root finding problems, and iteration methods for linear and nonlinear systems.;

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Dynamic General Equilibrium Modeling: Computational Methods and Applications

. In part I, the representative-agent stochastic growth model is solved with the help of value function iteration, linear and linear quadratic;

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Advances on Iterative Procedures

, which converges to a solution of the equation. Iteration methods are applied also for solving optimisation problems. In such cases the iteration;

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Dynamic General Equilibrium Modelling

. In part I, the representative-agent stochastic growth model is solved with the help of value function iteration, linear and linear quadratic;

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Adaptive Dynamic Programming with Applications in Optimal Control

systems is studied using the ADP approach which is then extended to other branches of control theory including decentralized control, robust and;

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Iterative Methods for the Solution of Equations

From the Preface (1964): 'This book presents a general theory of iteration algorithms for the numerical solution of equations and systems;

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Computational Methods for Nonlinear Dynamical Systems

, new high-performance methods are proposed, such as time-domain collocation and local variational iteration. The book summarizes and develops;

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Discrete Dynamics And Difference Equations - Proceedings Of The Twelfth International Conference On Difference Equations And Applications

topics on stability and bifurcation, chaos, mathematical biology, iteration theory, nonautonomous systems, and stochastic dynamical systems.;

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Index theory in nonlinear analysis

conditions) and P-index theory (index theory for P-boundary conditions). In addition, the book introduces readers to recent advances in the study;

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On Functions and Functional Equations

On Functions and Functional Equations introduces the main topics in iteration theory and the theory of functional equations with emphasis;

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Fine Structure and Iteration Trees

structure theory of L[E] models with strong cardinals, and the theory of iteration trees and 'backgrounded' L[E] models with Woodin cardinals. This;

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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

iteration matrix, are also treated. For each method, the convergence analysis, the computational performances and the comparisons versus other;

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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

iteration matrix, are also treated. For each method, the convergence analysis, the computational performances and the comparisons versus other;

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Potential Theory and Dynamics on the Berkovich Projective Line

analytic spaces and to potential theory and rational iteration on the Berkovich line, the book contains applications to arithmetic geometry and;

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Fixed Point Theory for Lipschitzian-Type Mappings with Applications

In recent years, the fixed point theory of Lipschitzian-type mappings has rapidly grown into an important field of study in both pure and;

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Dynamics of Transcendental Functions

developments in transcendental iteration. They clearly present the theory of iteration of transcendental functions and their analytic and geometric;

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Partial Differential Equations

This book offers an ideal introduction to the theory of partial differential equations. It focuses on elliptic equations and systematically;

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Bayesian Theory and Methods with Applications

estimate of the unknown. Beyond presenting Bayesian theory and methods of analysis, the text is illustrated with a variety of applications to real;

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Nonsmooth Optimization Methods

between the theory and its applications.;

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Nonlinear Signal and Image Processing

Nonlinear signal and image processing methods are fast emerging as an alternative to established linear methods for meeting the challenges;

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Introduction to Ordinary Differential Equations

The Fourth Edition of the best--selling text on the basic concepts, theory, methods, and applications of ordinary differential equations;

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Modern Applications of Graph Theory

introductory chapter, which provides an overview of basic applications and algorithms of graph theory. The book includes over 120 illustrations and;

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Computational Methods for Electromagnetic Inverse Scattering

A comprehensive and updated overview of the theory, algorithms and applications of for electromagnetic inverse scattering problems;

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An Introduction to Random Currents and Their Applications

aspects of the theory of currents, this book moves on to examine applications in medicine, material science, and image analysis. Applied;

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Numerical Computations: Theory and Algorithms

The two-volume set LNCS 11973 and 11974 constitute revised selected papers from the Third International Conference on Numerical;

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