Автор: Langtangen Hans Petter Название: A Primer on Scientific Programming with Python ISBN: 3662498863 ISBN-13(EAN): 9783662498866 Издательство: Springer Рейтинг: Цена: 4890.00 р. 6986.00-30% Наличие на складе: Есть (1 шт.) Описание: The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches 'Matlab-style' and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.From the reviews: Langtangen … does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. … Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science.Alex Small, IEEE, CiSE Vol. 14 (2), March?/April 2012 “This fourth edition is awonderful, inclusive textbook that covers pretty much everything one needs toknow to go from zero to fairly sophisticated scientific programming in Python…”Joan Horvath, Computing Reviews, March2015
Автор: Mikosch, Thomas Название: Elementary Stochastic Calculus, with Finance in View ISBN: 9810235437 ISBN-13(EAN): 9789810235437 Издательство: World Scientific Publishing Рейтинг: Цена: 7603.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An elementary introduction to modelling with Ito integral or stochastic differential equations, without burdening the reader with a great deal of measure theory. Applications are taken from stochastic finance. In particular, the Black-Scholes option pricing formula is derived.
Автор: Martin A Hjortso Название: Linear Mathematical Models In Chemical Engineering ISBN: 9812794158 ISBN-13(EAN): 9789812794154 Издательство: World Scientific Publishing Рейтинг: Цена: 16790.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reviews, introduces, and develops the mathematics that is encountered in sophisticated chemical engineering models. This book provides coverage of chemical engineering model formulation and analysis. It serves as an introduction to linear mathematics for engineering students.
Автор: Quarteroni Alfio Название: Scientific Computing with MATLAB and Octave ISBN: 3642124291 ISBN-13(EAN): 9783642124297 Издательство: Springer Рейтинг: Цена: 6981.00 р. Наличие на складе: Поставка под заказ.
Автор: Siparov Sergey Название: Introduction to the Anisotropic Geometrodynamics ISBN: 9814340839 ISBN-13(EAN): 9789814340830 Издательство: World Scientific Publishing Рейтинг: Цена: 17107.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The well-known observations of the flat rotation curves of spiral galaxies and of the gravitational lensing effect greatly exceeding the expectations based on the classical GRT can be explained without bringing in the notion of dark matter. This book offers a new approach to the challenging problems of modern physics, astrophysics, and cosmology.
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