Автор: Langtangen, Hans Petter Название: Programming for computations - matlab/octave ISBN: 3319324519 ISBN-13(EAN): 9783319324517 Издательство: Springer Рейтинг: Цена: 46570.00 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.
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: Hager Название: Introduction to High Performance Computing for Scientists and Engineers ISBN: 143981192X ISBN-13(EAN): 9781439811924 Издательство: Taylor&Francis Рейтинг: Цена: 80630.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Written by HPC experts, this book provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. It facilitates an intuitive understanding of performance limitations without relying on heavy computer science knowledge.
Автор: Gilles Dowek Название: Proofs and Algorithms: Introduction to Logic and Computability Theory ISBN: 0857291203 ISBN-13(EAN): 9780857291202 Издательство: Springer Рейтинг: Цена: 32560.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Logic is a branch of philosophy, mathematics and computer science. It studies the required methods to determine whether a statement is true, such as reasoning and computation.Proofs and Algorithms: Introduction to Logic and Computability is an introduction to the fundamental concepts of contemporary logic - those of a proof, a computable function, a model and a set. It presents a series of results, both positive and negative, - Church's undecidability theorem, G?del’s incompleteness theorem, the theorem asserting the semi-decidability of provability - that have profoundly changed our vision of reasoning, computation, and finally truth itself.Designed for undergraduate students, this book presents all that philosophers, mathematicians and computer scientists should know about logic.
Автор: Alexandre B. Tsybakov Название: Introduction to Nonparametric Estimation ISBN: 1441927093 ISBN-13(EAN): 9781441927095 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Developed from lecture notes and ready to be used for a course on the graduate level, this concise text aims to introduce the fundamental concepts of nonparametric estimation theory while maintaining the exposition suitable for a first approach in the field.
Автор: Buckley James J., Eslami Esfandiar Название: An Introduction to Fuzzy Logic and Fuzzy Sets ISBN: 3790814474 ISBN-13(EAN): 9783790814477 Издательство: Springer Рейтинг: Цена: 51200.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is to be the starting point for any curriculum in fuzzy systems in fields like computer science, mathematics, business/economics and engineering. It covers the basics leading to: fuzzy clustering, fuzzy pattern recognition, fuzzy database, fuzzy image processing, soft computing, fuzzy applications in operations research, fuzzy decision making, fuzzy rule based systems, fuzzy systems modeling, fuzzy mathematics. It is not a book designed for researchers - it is where you really learn the "basics" needed for any of the above-mentioned applications.
Автор: Frery Alejandro C Название: Introduction to Image Processing Using R ISBN: 1447149491 ISBN-13(EAN): 9781447149491 Издательство: Springer Рейтинг: Цена: 37260.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces the statistical software R to the image processing community in an intuitive and practical manner. Those who are new to the field of image processing and to R software will find this work a useful introduction.
Автор: Adil Bagirov; Napsu Karmitsa; Marko M. M?kel? Название: Introduction to Nonsmooth Optimization ISBN: 3319081136 ISBN-13(EAN): 9783319081137 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily differentiable optimization). The book covers both the theory and the numerical methods used in NSO and provide an overview of different problems arising in the field. a guide to NSO software.The book is ideal for anyone teaching or attending NSO courses.
Автор: Lamprecht G?nther Название: Introduction to SIMULA 67 ISBN: 3528133406 ISBN-13(EAN): 9783528133405 Издательство: Springer Рейтинг: Цена: 74490.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Eric Gunnerson; Nick Wienholt Название: A Programmer`s Introduction to C# 2.0 ISBN: 1590595017 ISBN-13(EAN): 9781590595015 Издательство: Springer Рейтинг: Цена: 31670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
A Programmer's Introduction to C# 2.0, Third Edition is a critical update to the highly successful second edition. It is written by a member of the original C# language-design team and a C# program manager, so you can be certain this book contains the expertise you're looking for.
This third edition covers the elements of C# 2005 that you'll soon embrace. This comprehensive tutorial explains features like generics, iterators, anonymous types, and partial classes. It is sure to be a key resource for all you C# programmers
Автор: Luis Arg?elles Mendez Название: A Practical Introduction to Fuzzy Logic using LISP ISBN: 3319231855 ISBN-13(EAN): 9783319231853 Издательство: Springer Рейтинг: Цена: 130610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book makes use of the LISP programming language to provide readers with the necessary background to understand and use fuzzy logic to solve simple to medium-complexity real-world problems.
Автор: Adil Bagirov; Napsu Karmitsa; Marko M. M?kel? Название: Introduction to Nonsmooth Optimization ISBN: 331934627X ISBN-13(EAN): 9783319346274 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily differentiable optimization). The book covers both the theory and the numerical methods used in NSO and provide an overview of different problems arising in the field. a guide to NSO software.The book is ideal for anyone teaching or attending NSO courses.
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