Soft Computing: With Matlab Programming, N.P. Padhy
Автор: Varela Carlos A Название: Programming Distributed Computing Systems ISBN: 0262018985 ISBN-13(EAN): 9780262018982 Издательство: MIT Press Рейтинг: Цена: 34380 T Наличие на складе: Поставка под заказ. Описание:
Starting from the premise that understanding the foundations of concurrent programming is key to developing distributed computing systems, this book first presents the fundamental theories of concurrent computing and then introduces the programming languages that help develop distributed computing systems at a high level of abstraction. The major theories of concurrent computation -- including the -calculus, the actor model, the join calculus, and mobile ambients -- are explained with a focus on how they help design and reason about distributed and mobile computing systems. The book then presents programming languages that follow the theoretical models already described, including Pict, SALSA, and JoCaml. The parallel structure of the chapters in both part one (theory) and part two (practice) enable the reader not only to compare the different theories but also to see clearly how a programming language supports a theoretical model. The book is unique in bridging the gap between the theory and the practice of programming distributed computing systems. It can be used as a textbook for graduate and advanced undergraduate students in computer science or as a reference for researchers in the area of programming technology for distributed computing. By presenting theory first, the book allows readers to focus on the essential components of concurrency, distribution, and mobility without getting bogged down in syntactic details of specific programming languages. Once the theory is understood, the practical part of implementing a system in an actual programming language becomes much easier.
Автор: Langtangen Hans Petter Название: A Primer on Scientific Programming with Python ISBN: 3662498863 ISBN-13(EAN): 9783662498866 Издательство: Springer Рейтинг: Цена: 43540 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: Barrow, John; Miller, Linda; Malan, Katherine; Gel Название: Introducing Delphi Programming: ISBN: 0195789113 ISBN-13(EAN): 9780195789119 Издательство: Oxford Academ Рейтинг: Цена: 40390 T Наличие на складе: Поставка под заказ. Описание: This book teaches distance-learning students how to programme in Delphi a major computer language used to design a variety of programmes.
Автор: Rondelez Название: DNA Computing and Molecular Programming ISBN: 3319439936 ISBN-13(EAN): 9783319439938 Издательство: Springer Рейтинг: Цена: 26130 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 22nd International Conference on DNA Computing and Molecular Programming, DNA 22, held Munich, Germany, in September 16
The 11 full papers presented together with 10 invited and tutorial talks were carefully selected from 55 submissions
Research in DNA computing and molecular programming draws together mathematics, computer science, physics, chemistry, biology, and nanotechnology to address the analysis, design, and synthesis of information-based molecular systems
Автор: Ahmed Название: Multicore Computing ISBN: 1439854343 ISBN-13(EAN): 9781439854341 Издательство: Taylor&Francis Рейтинг: Цена: 92820 T Наличие на складе: Невозможна поставка. Описание: Every area of science and engineering today has to process voluminous data sets. Using exact, or even approximate, algorithms to solve intractable problems in critical areas, such as computational biology, takes time that is exponential in some of the underlying parameters. Parallel computing addresses this issue and has become affordable with the advent of multicore architectures. However, programming multicore machines is much more difficult due to oddities existing in the architectures. Offering insights into different facets of this area, Multicore Computing: Algorithms, Architectures, and Applications focuses on the architectures, algorithms, and applications of multicore computing. It will help readers understand the intricacies of these architectures and prepare them to design efficient multicore algorithms. Contributors at the forefront of the field cover the memory hierarchy for multicore and manycore processors, the caching strategy Flexible Set Balancing, the main features of the latest SPARC architecture specification, the Cilk and Cilk++ programming languages, the numerical software library Parallel Linear Algebra Software for Multicore Architectures (PLASMA), and the exact multipattern string matching algorithm of Aho-Corasick. They also describe the architecture and programming model of the NVIDIA Tesla GPU, discuss scheduling directed acyclic graphs onto multi/manycore processors, and evaluate design trade-offs among Intel and AMD multicore processors, IBM Cell Broadband Engine, and NVIDIA GPUs. In addition, the book explains how to design algorithms for the Cell Broadband Engine and how to use the backprojection algorithm for generating images from synthetic aperture radar data.
Автор: Langtangen, Hans Petter Название: Programming for computations - matlab/octave ISBN: 3319324519 ISBN-13(EAN): 9783319324517 Издательство: Springer Рейтинг: Цена: 31100 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents computer programming as a key method for solving mathematical problems. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students.
Автор: Austin Название: Engineering Programming - C, Matlab and Java ISBN: 0471001163 ISBN-13(EAN): 9780471001164 Издательство: Wiley Рейтинг: Цена: 103880 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Although Fortran is still the most commonly-taught programming language for engineers, increasing numbers of students are taking C, Matlab and Java. This text deals with C from an engineering, rather than just a computer science, perspective.
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.
Автор: Wellin Название: Programming with Mathematica ® ISBN: 1107009464 ISBN-13(EAN): 9781107009462 Издательство: Cambridge Academ Рейтинг: Цена: 51360 T Наличие на складе: Есть у поставщика 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: Jung Suh Название: Accelerating MATLAB with GPU Computing, ISBN: 0124080804 ISBN-13(EAN): 9780124080805 Издательство: Elsevier Science Рейтинг: Цена: 34180 T Наличие на складе: Поставка под заказ. Описание: Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap. . Starting with the basics, setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling, it then guides users through advanced topics such as CUDA libraries. The authors share their experience developing algorithms using MATLAB, C++ and GPUs for huge datasets, modifying MATLAB codes to better utilize the computational power of GPUs, and integrating them into commercial software products. Throughout the book, they demonstrate many example codes that can be used as templates of C-MEX and CUDA codes for readers’ projects. Download example codes from the publisher's website: http://booksite.elsevier.com/9780124080805/
Автор: Dave Thomas Название: Programming Elixir 1.3: Functional |> Concurrent |> Pragmatic |> Fun ISBN: 168050200X ISBN-13(EAN): 9781680502008 Издательство: Wiley Рейтинг: Цена: 9430 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Elixir`s pragmatic syntax and built-in support for metaprogramming will make you productive and keep you interested for the long haul. Maybe the time is right for the Next Big Thing. Maybe it`s Elixir. This book is the introduction to Elixir for experienced programmers, completely updated for Elixir 1.3.
Автор: Leszek Rutkowski; Ryszard Tadeusiewicz; Lofti A. Z Название: Artificial Intelligence and Soft Computing – ICAISC 2008 ISBN: 3540695729 ISBN-13(EAN): 9783540695721 Издательство: Springer Рейтинг: Цена: 105740 T Наличие на складе: Поставка под заказ. Описание: Constitutes the refereed proceedings of the 9th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2008, held in Zakopane, Poland, in June 2008. This title also includes papers that are organized in topical sections on neural networks and their applications, fuzzy systems and their applications, and agent systems.
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