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nonclassical method and compatibility. Symmetry Analysis of Differential Equations: An Introduction also features: * Detailed, step-by-step examples;
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Learn to develop numerical methods for ordinary differential equations General Linear Methods for Ordinary Differential Equations fills a;
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problems for functional differential and integral equations arising in a wide spectrum of applications, including biological and physical phenomena;
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methods (DG-FEM) for the solution of partial differential equations. It covers all key theoretical results, including an overview of relevant;
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is provided. Introduction to Numerical Methods for Time Dependent Differential Equations features: * A step-by-step discussion of the procedures;
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Examines numerical and semi-analytical methods for differential equations that can be used for solving practical ODEs and PDEs This;
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elimination method for solving systems of linear algebraic equations, the Runge-Kutta method for solving ordinary differential equations, and the;
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Along with finite differences and finite elements, spectral methods are one of the three main methodologies for solving partial;
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Handbook of Differential Equations, Third Edition compiles the most widely applicable methods for solving and approximating differential;
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Mixing elementary results and advanced methods, Algebraic Approach to Differential Equations aims to accustom differential equation;
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This book is devoted to numerical methods for solving sparse linear algebra systems of very large dimension which arise in the;
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and approximating differential equations. These include the most widely applicable methods for solving and approximating differential;
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differential-algebraic equations. The analysis is developed from the theory of linear constant coefficient systems via linear variable coefficient;
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The main focus of the book is to implement wavelet based transform methods for solving the problem of fractional order partial differential;
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techniques, and some iterative optimization tools. The book is a compendium of theoretical and numerical methods for solving large algebraic;
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error analysis for multi-step methods* Stiff differential equations* Differential algebraic equations* Two-point boundary value problems;
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in engineering and the life sciences, and most can only be solved approximately using computers. Numerical Analysis of Partial Differential Equations;
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references included in the book for a better understanding of the physics involved, and for the mathematical analysis. This book was written for a;
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references included in the book for a better understanding of the physics involved, and for the mathematical analysis. This book was written for a;
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This new work is an introduction to the numerical solution of the initial value problem for a system of ordinary differential equations;
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This new work is an introduction to the numerical solution of the initial value problem for a system of ordinary differential equations;
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Despite the fact that Sophus Lie's theory was virtually the only systematic method for solving nonlinear ordinary differential equations;
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Despite the fact that Sophus Lie's theory was virtually the only systematic method for solving nonlinear ordinary differential equations;
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The subject of this book is the solution of stiff differential equations and of differential-algebraic systems. This second edition;
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The problem of solving large, sparse, linear systems of algebraic equations is vital in scientific computing, even for applications;
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Computational Mathematics in Engineering and Applied Science provides numerical algorithms and associated software for solving a spectrum;
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