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This book - specifically developed as a novel textbook on elementary classical mechanics - shows how analytical and numerical methods can;
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This book - specifically developed as a novel textbook on elementary classical mechanics - shows how analytical and numerical methods can;
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This book presents a modern introduction to analytical and numerical techniques for solving ordinary differential equations (ODEs;
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visualizing analytical and numerical solutions. It subsequently uses these implementations as building blocks to solve more complex problems, such as;
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in applications spanning science and engineering, and are not practical to solve using analytical techniques such as those taught in courses in calculus;
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in applications spanning science and engineering, and are not practical to solve using analytical techniques such as those taught in courses in calculus;
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using different boundary conditions Includes access to a companion site, featuring the numerical examples, Python and ABACUS codes;
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programmers in nuclear engineering and radiological sciences, teaching them how to analyze complex systems using modern computational techniques.
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overview of numerical and programming techniques, including object-oriented programming, elementary and advanced topics in numerical analysis;
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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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engineering.* The book covers elementary and advaned numerical methods used in modern scientific computing.;
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using simple mathematics, examples and experimental techniques, and it includes a large number of worked examples and case studies that;
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balance between the thermomechanical analysis and numerical techniques. It is suitable for advanced undergraduate and graduate courses;
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such as non-relativistic quantum field theory and numerical methods. After introducing classical analytical techniques, such as cluster;
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such as non-relativistic quantum field theory and numerical methods. After introducing classical analytical techniques, such as cluster;
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of motion, illustrated with numerical examples. This book suits a graduate course in mechanics based disciplines, and will help software developers;
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of motion, illustrated with numerical examples. This book suits a graduate course in mechanics based disciplines, and will help software developers;
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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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Covering a wide variety of topics in dynamic fracture mechanics, this volume presents state-of-the-art experimental techniques and;
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Cracow University of Technology, Poland Comprehensively covers the fundamental theory and analytical and numerical solutions for different types;
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Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages;
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This book provides a broad and comprehensive coverage of the theoretical, experimental, and numerical techniques employed in the field;
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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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Covering a wide variety of topics in dynamic fracture mechanics, this volume presents state-of-the-art experimental techniques and;
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Using a novel integration of mathematics and Python codes, this book illustrates the fundamental concepts that link probability, statistics;
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, the future engineer or scientist. Using simple sizing calculations, and more advanced analytical calculations, the book covers all the;
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the pros and cons of the analytical solutions and of all the numerical methods are discussed. The book culminates in a multi-layer model for;
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