Programming Language Implementation and Logic Programming, Pierre Deransart; Jan Maluszynski
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: Holt Alan Название: Network Performance Analysis / Using the J Programming Language ISBN: 1846288223 ISBN-13(EAN): 9781846288227 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The purpose of network performance analysis is to investigate how traffic-management mechanisms deployed in the network affect the allocation of resources amongst its users and the performance they experience. This book introduces concepts and principles of network performance analysis by example, using the J programming language.
Автор: Flanagan, David Matsumoto, Yukihiro Название: Ruby programming language ISBN: 0596516177 ISBN-13(EAN): 9780596516178 Издательство: Wiley Рейтинг: Цена: 42230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A guide to Ruby that provides coverage of versions 1.8 and 1.9 of the language. It explains the language from the bottom up: from lexical and syntactic structure to datatypes to expressions and statements and on through methods, blocks, lambdas, closures, classes and modules.
Автор: Ichbiah Название: Rationale for the Design of the Ada Programming Language ISBN: 0521392675 ISBN-13(EAN): 9780521392679 Издательство: Cambridge Academ Рейтинг: Цена: 147840.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents the rationale behind the design and development of the programming language Ada. The materials incorporating corrections to its original printing by the Ada Joint Program Office (AJPO), will be essential reading for all those currently using the language as well as those considering its adoption.
Автор: Sestoft, Peter Название: Programming language concepts ISBN: 331960788X ISBN-13(EAN): 9783319607887 Издательство: Springer Рейтинг: Цена: 49370.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The other describes how to compile a C subset to real (x86) hardware, as a smooth extension of the previously presented compilers.The examples present several interpreters and compilers for toy languages, including compilers for a small but usable subset of C, abstract machines, a garbage collector, and ML-style polymorphic type inference.
Автор: Honeywell; Cii Honeywell Bull Название: The Programming Language Ada ISBN: 3540106936 ISBN-13(EAN): 9783540106937 Издательство: Springer Рейтинг: Цена: 43780.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Asperti Название: The Optimal Implementation of Functional Programming Languages ISBN: 0521621127 ISBN-13(EAN): 9780521621120 Издательство: Cambridge Academ Рейтинг: Цена: 81300.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book, the first in the subject, is a comprehensive account of optimal reduction by two of its leading exponents. Practical implementation aspects are fully covered as are its mathematical underpinnings. The book is essentially self-contained, requiring no more than basic familiarity with functional languages. It will be welcomed by graduate students and research workers.
Автор: Pierre Deransart; Bernard Lorho; Jan Maluszynski Название: Programming Languages Implementation and Logic Programming ISBN: 3540508201 ISBN-13(EAN): 9783540508205 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The aim of the workshop was to discuss whether research on implementation of programming languages and research on logic programming can mutually benefit from each others results.
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.
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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