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equations, and these methods are presented in Artificial Neural Networks for Engineers and Scientists: Solving Ordinary Differential Equations. This;
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Differential and difference equations are one of the most apt methods of measuring change. Be it for measuring the changes in investment;
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The Handbook of Ordinary Differential Equations: Exact Solutions, Methods, and Problems, is an exceptional and complete reference for;
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Differential Equations for Scientists and Engineers proposes to give a comprehensive treatment of differential equations encountered by;
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Structure-Preserving Algorithms for Oscillatory Differential Equations describes a large number of highly effective and efficient structure;
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Structure-Preserving Algorithms for Oscillatory Differential Equations describes a large number of highly effective and efficient structure;
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and approximating differential equations. These include the most widely applicable methods for solving and approximating differential;
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This introduction to ordinary differential and difference equations is suited not only for mathematicians but for scientists and engineers;
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This concise applications-oriented text is intended for undergraduate students in engineering, mathematics, and other areas of science. The;
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analysis, vector analysis, complex analysis, and linear algebradifferential equations.;
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This book is designed to serve as a textbook for a course on ordinary differential equations, which is usually a required course in most;
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Perturbation Methods for Engineers and Scientists examines the main techniques of perturbation expansions applied to both differential;
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Perturbation Methods for Engineers and Scientists examines the main techniques of perturbation expansions applied to both differential;
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Originally published by John Wiley & Sons in 1982, Partial Differential Equations for Scientists and Engineers was reprinted by Dover;
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analysis, vector analysis, complex analysis, and linear algebradifferential equations.;
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differential equations. Delay differential equations are widely used for describing and modeling various processes and systems in different applied;
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problem (constructing the mathematical model) and how to solve the equation (along with initial and boundary conditions). Written for advanced;
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of the study of differential equations. The authors use the computer software Mathematica (R) along with graphics to improve understanding and;
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Differential Equations is an excellent textbook for upper-undergraduate courses in applied mathematics, engineering, and physics as well as a useful;
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devoted to linear algebra, calculus, and ordinary differential equations. Additional topics include partial differential equations and;
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-differential equations, integral equations, integro-differential equations, and stochastical differential equations. Its clear organization and copious;
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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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In this volume are twenty-eight papers from the Conference on Nonlinear Partial Differential Equationsin Engineering and Applied Science;
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finance and identifies paths for future research in the field. Stochastic Partial Differential Equations and Applications analyzes recent;
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finance and identifies paths for future research in the field. Stochastic Partial Differential Equations and Applications analyzes recent;
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, and approximate analytical methods for solving ordinary differential equations The addition of solutions to more than 1200 nonlinear;
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An Introduction to Differential Equations using MATLAB exploits the symbolic, numerical, and graphical capabilitiesof MATLAB to develop a;
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