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Iterative Methods for Solving Nonlinear Equations and Systems

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Dynamical Systems Method and Applications

Dynamical Systems Method (DSM) is a powerful general method for solving operator equations. These equations can be linear or nonlinear;

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Numerical Analysis

. The text discusses in detail the methods of solving linear systems of equations, nonlinear equations, system of non-linear equations, initial;

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Iterative Methods without Inversion

Iterative Methods without Inversion presents the iterative methods for solving operator equations f(x) = 0 in Banach and/or Hilbert spaces;

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Applied Iterative Methods

) method, and computational aspects in the use of iterative algorithms for solving multidimensional problems. 1981 edition. 48 figures. 35 tables.;

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Computational Methods for Nonlinear Dynamical Systems

develops highly-efficient and accurate methods for solving nonlinear dynamic systems, drawing inspiration from the weighted residual method and the;

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Regularization Algorithms for Ill-Posed Problems

operator equations, both linear and nonlinear. These approximation schemes form a basis for implementable numerical algorithms for the stable;

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Iterative Methods for Linear and Nonlinear Equations

This book is devoted to giving a modern view of iterative methods for solving linear and nonlinear equations, which are the basis for many;

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A Survey of Preconditioned Iterative Methods

The problem of solving large, sparse, linear systems of algebraic equations is vital in scientific computing, even for applications;

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Numerical Algorithms with Fortran

are not available elsewhere. All have been extensively field-tested and cover methods for solving nonlinear equations, the method of Laguerre;

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Oscillations and Resonances

solving nonlinear equations Nonlinear oscillator in potential well Autoresonances in nonlinear systems Asymptotics for loss of stability;

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Nonlinear Differential Equations in Micro/Nano Mechanics: Application in Micro/Nano Structures and Electromechanical Systems

variety of various efficient methods, including Homotropy methods, Adomian methods, reduced order methods and numerical methods for solving the;

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Dynamical Systems Method for Solving Nonlinear Operator Equations

analysis, and ill-posed and inverse problems especially. The book presents a general method for solving operator equations, especially nonlinear;

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Iterative Splitting Methods for Differential Equations

results of the stability and consistency analysis for ordinary differential equations. He then presents extensions of the iterative splitting;

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Iterative Splitting Methods for Differential Equations

results of the stability and consistency analysis for ordinary differential equations. He then presents extensions of the iterative splitting;

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Fourier Series in Several Variables with Applications to Partial Differential Equations

in solving difficult nonlinear partial differential equations (PDEs). Using these methods, the author presents results for stationary Navier-Stokes;

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Fourier Series in Several Variables with Applications to Partial Differential Equations

in solving difficult nonlinear partial differential equations (PDEs). Using these methods, the author presents results for stationary Navier-Stokes;

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Nonlinear H-Infinity Control, Hamiltonian Systems and Hamilton-Jacobi Equations

-nonlinear control and filtering, nonlinear H -almost-disturbance-decoupling, and algorithms for solving the ubiquitous Hamilton-Jacobi-Isaacs;

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Nonlinear H-Infinity Control, Hamiltonian Systems and Hamilton-Jacobi Equations

-nonlinear control and filtering, nonlinear H -almost-disturbance-decoupling, and algorithms for solving the ubiquitous Hamilton-Jacobi-Isaacs;

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Advanced Numerical and SemiAnalytical Methods for Differential Equations

various methods for solving linear and nonlinear ODEs and PDEs Covers basic numerical techniques for solving differential equations along with;

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Mathematical Neuroscience

integrative way. It is the first research monograph devoted exclusively to the theory and methods of nonlinear analysis of infinite systems based on;

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Algorithms for Large Scale Linear Algebraic Systems:

An overview of the most successful algorithms and techniques for solving large, sparse systems of equations and some algorithms and;

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Mathematical Modeling for the Solution of Equations and Systems of Equations with Applications -- Volume I

volume are self-contained so they can be read independently. Each chapter contains semi-local and local convergence results for single, multi;

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An Introduction to Iterative Toeplitz Solvers

processing. This practical book introduces current developments in using iterative methods for solving Toeplitz systems based on the preconditioned;

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Critical Point Theory: Sandwich and Linking Systems

This monograph collects cutting-edge results and techniques for solving nonlinear partial differential equations using critical points;

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Nonlinear Analysis and Applications

Nonlinear Analysis and Applications is dedicated to Professor V. Lakshmikantham on the occasion of his 80th birthday. The volumes consist;

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A Contemporary Study of Iterative Methods

for aiding in the solution of advanced problems in engineering, mathematical economics, mathematical biology and other applied sciences;

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