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A visual, interdisciplinary approach to solving problems in numerical methods Computing for Numerical Methods Using Visual C++ fills the;
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site contains all the Visual C++ based programs discussed in the text to help readers create their own programs. With its focus on problems and;
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Introduction to Computational Modeling Using C and Open-Source Tools presents the fundamental principles of computational models from a;
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Introduction to Computational Modeling Using C and Open-Source Tools presents the fundamental principles of computational models from a;
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Numerical Computing with MATLAB is a lively textbook for an introductory course in numerical methods, MATLAB and technical computing.;
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emergent programming languages that reflect modern practice, Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and;
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case studies on numerical computing of industrial processes and step-by-step procedures for conducting industrial computing. It assumes minimal;
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This book shows the application of OOP technique using C , Java, Python and Matlab. These languages stand among the most popular ones to;
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on statistical methods as they apply to the social and behavioral sciences, Numerical Issues in Statistical Computing for the Social;
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in Visual Basic, FORTRAN and C++. Perhaps it is for the first time that any book provides numerical methods in Visual Basic. The text is exhaustive;
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engineering.* The book covers elementary and advaned numerical methods used in modern scientific computing.;
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This easy-to-understand textbook presents a modern approach to learning numerical methods (or scientific computing), with a unique focus on;
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Suitable for modern numerical methods courses for third and fourth years of study. A good basic reference for postgraduates. Skillfully;
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Suitable for modern numerical methods courses for third and fourth years of study. A good basic reference for postgraduates. Skillfully;
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- a MATLAB® toolbox, and an ANSI C library. This book is intended for undergraduate students. Each chapter includes detailed case;
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the application of numerical methods using R functions. Focusing on implementation rather than theory, this text serves as a balanced;
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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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point standards and numerical analysis; iterative methods for both linear and nonlinear equation, such as Gauss-Seidel method and successive;
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Extensive numerical methods for computing design sensitivity are included in the text for practical application and software development;
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programming develops itself and the numerical approach that they involve. This is a field that is a subject of attention and study for several;
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provides an up-to-date overview of numerical methods for computing special functions and discusses when to use these methods depending on the;
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Implement numerical algorithms in Java using NM Dev, an object-oriented and high-performance programming library for mathematics.You'll see;
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Implement numerical algorithms in Java using NM Dev, an object-oriented and high-performance programming library for mathematics.Yoüll see;
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majority of large computer programs in the Fortran language. Using Fortran 95 to solve a range of practical engineering problems, Numerical Methods;
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majority of large computer programs in the Fortran language. Using Fortran 95 to solve a range of practical engineering problems, Numerical Methods;
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numerical analysis course yet applied enough for students of science and engineering taking it with practical need in mind. The standard methods;
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