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C PROGRAMMING: Including Numerical and Statistical Methods develops the programming language C gradually by illustrating several examples;
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-independent numerical programming using Python and CC++, and appeals to advanced undergraduate and graduate students in natural sciences and;
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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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be used for numerical applications including statistical analysis, time series analysis, numerical methods for pricing financial contracts;
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numerical applications including statistical analysis, time series analysis, numerical methods for pricing financial contracts, etc. This book;
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programming languages, C++, Java and Octave (a freeware alternative to MATLAB). Employing only public-domain software, this book presents a unique;
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Features a simplified presentation of numerical methods by introducing and implementing SAGE programs An Introduction to SAGE Programming;
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C Program Design for Engineers teaches introductory concepts and theory to engineers. It uses a procedural approach to solving engineering;
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C Program Design for Engineers teaches introductory concepts and theory to engineers. It uses a procedural approach to solving engineering;
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Numerical and statistical methods with the free software SCILAB (http://www-rocq.inria.fr/scilab/);
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techniques and programming skills they need. The authors start from scratch, so the reader does not need any previous experience of C++. Beginning;
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statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at;
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statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at;
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Designed for the many applied mathematicians and engineers who wish to explore computerized numerical methods, this text communicates an;
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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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Master the C code appropriate for numerical methods and computational modeling, including syntax, loops, subroutines, and files. Then, this;
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, C programmes and algorithms to facilitate clear understanding of various theories discussed on numerical and statistical methods. The text;
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the programming principles of the C programming language. The author then applies programming principles and basic numerical techniques, such;
Vergelijkbare producten zoals Introduction to Computational Modeling Using C and Open-Source Tools
the programming principles of the C programming language. The author then applies programming principles and basic numerical techniques, such;
Vergelijkbare producten zoals Introduction to Computational Modeling Using C and Open-Source Tools
A visual, interdisciplinary approach to solving problems in numerical methods Computing for Numerical Methods Using Visual C++ fills the;
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of portfolio management strategies; statistical procedures; identification of models; Monte Carlo methods; and numerical implications of stochastic;
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Learn applied numerical computing using the C programming language, starting with a quick primer on the C programming language and its SDK;
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Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to;
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toolkit in numerical methods for finance. The second part proposes twenty self-contained cases covering model simulation, asset pricing and;
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Numerical Recipes in Fortran 90 starts with a detailed introduction to the Fortran 90 language and then presents the basic concepts;
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statistical computing are two areas within statistics that may be broadly described as computational, graphical, and numerical approaches to solving;
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covers the transportation problem and general linear programming applications, and a final part examines nonlinear programming. Numerical;
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