Автор: Langtangen Hans Petter Название: A Primer on Scientific Programming with Python ISBN: 3662498863 ISBN-13(EAN): 9783662498866 Издательство: Springer Рейтинг: Цена: 32600.00 T Наличие на складе: Есть 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: Gookin Dan Название: Beginning Programming with C For Dummies ISBN: 1118737636 ISBN-13(EAN): 9781118737637 Издательство: Wiley Рейтинг: Цена: 23220.00 T Наличие на складе: Поставка под заказ. Описание: Learn the basics of programming with C with this fun and friendly guide! C offers a reliable, strong foundation for programming and serves as a stepping stone upon which to expand your knowledge and learn additional programming languages.
Автор: Jung, Kurt Brown, Aaron Название: Beginning lua programming ISBN: 0470069171 ISBN-13(EAN): 9780470069172 Издательство: Wiley Рейтинг: Цена: 28500.00 T Наличие на складе: Поставка под заказ. Описание: Suitable for those affected by Parkinson`s disease, this book helps discover how to keep a positive attitude and lead an active, productive life. It also provides coping skills, first hand advice, and practical tools, such as worksheets to assess care options, questions to ask doctors, and listings of care providers. Presents the fundamentals of programming with Lua. This book explains standard Lua functions, and how to take advantage of free Lua community resources. It integrates code samples throughout the chapters to demonstrate how to apply the information so that readers can write your own programs.
Автор: Ondrej Majer; Ahti-Veikko Pietarinen; Tero Tulenhe Название: Games: Unifying Logic, Language, and Philosophy ISBN: 9048181151 ISBN-13(EAN): 9789048181155 Издательство: Springer Рейтинг: Цена: 181670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This unique volume presents mathematical game theory as an interface between logic and philosophy. It provides a discussion of various aspects of this interaction, covers new technical results and examines the philosophical insights that these have yielded.
Автор: Zhiming Liu; Jim Woodcock; Huibiao Zhu Название: Theories of Programming and Formal Methods ISBN: 3642396976 ISBN-13(EAN): 9783642396977 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: He won a number of prestigious science and technology awards, including a 2nd prize of Natural Science Award from the State Council of China, a 1st prize of Natural Science Award from the Ministry of Education of China, a 1st prize of Technology Innovation from the Ministry of Electronic Industry, and a number awards from Shanghai government.
Автор: Jonathan P. Bowen; Huibiao Zhu Название: Unifying Theories of Programming ISBN: 3319522272 ISBN-13(EAN): 9783319522272 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 6th International Symposium on Unifying Theories of Programming, UTP 2016, held in Reykjavik, Iceland, in June 2016, in conjunction with the 12th International Conference on Integrated Formal Methods, iFM 2016.
Автор: Zhiming Liu; Jim Woodcock; Huibiao Zhu Название: Unifying Theories of Programming and Formal Engineering Methods ISBN: 3642397204 ISBN-13(EAN): 9783642397202 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents 5 tutorial lectures by leading researchers given at the ICTAC 2013 Software Engineering School on Unifying Theories of Programming and Formal Engineering Methods, held in Shanghai, China in August 2013.The lectures are aimed at postgraduate students, researchers, academics, and industrial engineers.
Автор: Wellin Название: Programming with Mathematica ® ISBN: 1107009464 ISBN-13(EAN): 9781107009462 Издательство: Cambridge Academ Рейтинг: Цена: 79200.00 T Наличие на складе: Поставка под заказ. Описание: Starting from first principles, this book covers all of the foundational material needed to develop a clear understanding of the Mathematica language, with a practical emphasis on solving problems. Concrete examples throughout the text demonstrate how Mathematica can be used to solve problems in science, engineering, economics/finance, computational linguistics, geoscience, bioinformatics, and a range of other fields. The book will appeal to students, researchers and programmers wishing to further their understanding of Mathematica. Designed to suit users of any ability, it assumes no formal knowledge of programming so it is ideal for self-study. Over 290 exercises are provided to challenge the reader's understanding of the material covered and these provide ample opportunity to practice using the language. Mathematica notebooks containing examples, programs and solutions to exercises are available from www.cambridge.org/wellin.
Автор: Varela Carlos A Название: Programming Distributed Computing Systems ISBN: 0262018985 ISBN-13(EAN): 9780262018982 Издательство: MIT Press Рейтинг: Цена: 38500.00 T Наличие на складе: Нет в наличии. Описание: An introduction to fundamental theories of concurrent computation and associated programming languages for developing distributed and mobile computing systems.
Автор: Andrew Butterfield Название: Unifying Theories of Programming ISBN: 3642145205 ISBN-13(EAN): 9783642145209 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Constitutes the post-proceedings of the Second International Symposium on Unifying Theories of Programming, UTP 2008, held at Trinity College, Dublin, Ireland, in September 2008. These papers reaffirm the significance of the ongoing UTP project and encourage efforts to advance it by providing a focus for the sharing of results.
Автор: Hartmut Ehrig; Gabriel Juhas; Julia Padberg; Grzeg Название: Unifying Petri Nets ISBN: 3540430679 ISBN-13(EAN): 9783540430674 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Research on Petri nets has diverged in many different directions. This survey presents the relevant approaches to unifying Petri nets in a systematic and coherent way. The chapters are organized in topical sections on application-oriented approaches, unifying frameworks, and theoretical approaches.
The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization.
This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters.
Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics.
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