Numerical Methods Using Java: For Data Science, Analysis, and Engineering, Li Haksun
Автор: Hutton Название: Programming in Haskell ISBN: 1316626229 ISBN-13(EAN): 9781316626221 Издательство: Cambridge Academ Рейтинг: Цена: 7390.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This edition has been extensively updated and expanded, with new chapters covering recent and more advanced features of Haskell, new examples and exercises, and freely downloadable lecture slides and example code. All concepts are explained from first principles and no programming experience is required, making it accessible to a broad range of readers.
Автор: Jose Guillermo,.Sanchez Leon Название: Mathematica Beyond Mathematics ISBN: 149879629X ISBN-13(EAN): 9781498796293 Издательство: Taylor&Francis Рейтинг: Цена: 10258.00 р. Наличие на складе: Нет в наличии.
Описание: Although many books have been written about Mathematica, very few of them cover the new functionality added to the most recent versions of the program. Mathematica Beyond Mathematics: The Wolfram Language in the Real World introduces the new features using real-world examples, based on the experience of the author as a consultant. In the process, you will also learn more about the Wolfram Language and how you can use it to solve a wide variety of problems. The author raises questions from a wide range of topics and answers them by taking full advantage of Mathematica's latest features. For example; What sources of energy does the world really use? How can we calculate tolerance limits in manufacturing processes? Are our cities getting warmer? Is the novel El Quijote written in Pi? How can we find planets outside our solar system?
Автор: John M. Stewart Название: Python for Scientists ISBN: 1316641236 ISBN-13(EAN): 9781316641231 Издательство: Cambridge Academ Рейтинг: Цена: 5067.00 р. Наличие на складе: Поставка под заказ.
Описание: Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets. Everything the working scientist needs to know is covered, quickly providing researchers and research students with the skills to start using Python effectively.
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: Wintjen Marc Название: Practical Data Analysis using Jupyter Notebook ISBN: 1838826033 ISBN-13(EAN): 9781838826031 Издательство: Неизвестно Рейтинг: Цена: 7539.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book will take you on a journey through the evolution of data analysis explaining each step in the process in a very simple and easy to understand manner. You will learn how to use various Python libraries to work with data. Learn how to sift through the many different types of data, clean it, and analyze it to gain useful insights.
Автор: Islam Shammunul, Miles Simon, Menke Gisp Kurt Название: Mastering Geospatial Development with QGIS 3.x - Third Edition ISBN: 1788999894 ISBN-13(EAN): 9781788999892 Издательство: Неизвестно Рейтинг: Цена: 8458.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a guide for professionals looking to master the open source QGIS software. This book will take you all the way through to learning advanced techniques like illuminated contours and dynamic masking. You will learn about the advanced topics like the creation of GeoPackages, the Processing Toolbox, and the creation of plugins using ...
Автор: Filipuk Galina, Kozlowski Andrzej Название: Differential Geometry, Differential Equations, and Special Functions ISBN: 3110774542 ISBN-13(EAN): 9783110774542 Издательство: Walter de Gruyter Рейтинг: Цена: 11586.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This volume, the third of a series, consists of applications of Mathematica(R) to a potpourri of more advanced topics. These include differential geometry of curves and surfaces, differential equations and special functions and complex analysis. Some of the newest features of Mathematica(R) are demonstrated and explained and some problems with the current implementation pointed out and possible future improvements suggested.
Contains a large number of worked out examples.
Explains some of the most recent mathematical features of Mathematica(R).
Considers topics discussed rarely or not at all in the context of Mathematica(R).
Can be used to supplement several different courses.
Based on actual university courses.
Автор: Li, PhD Название: Numerical Methods Using Kotlin ISBN: 1484288254 ISBN-13(EAN): 9781484288252 Издательство: Springer Рейтинг: Цена: 7927.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This in-depth guide covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis. The mathematical concepts behind the algorithms are clearly explained, with plenty of code examples and illustrations to help even beginners get started. In this book, you'll implement numerical algorithms in Kotlin using NM Dev, an object-oriented and high-performance programming library for applied and industrial mathematics. Discover how Kotlin has many advantages over Java in its speed, and in some cases, ease of use. In this book, you’ll see how it can help you easily create solutions for your complex engineering and data science problems. After reading this book, you'll come away with the knowledge to create your own numerical models and algorithms using the Kotlin programming language. What You Will Learn * Program in Kotlin using a high-performance numerical library * Learn the mathematics necessary for a wide range of numerical computing algorithms * Convert ideas and equations into code * Put together algorithms and classes to build your own engineering solutions * Build solvers for industrial optimization problems * Perform data analysis using basic and advanced statistics Who This Book Is For Programmers, data scientists, and analysts with prior experience programming in any language, especially Kotlin or Java.
Автор: Murtagh, Fionn Название: Correspondence Analysis and Data Coding with Java and R ISBN: 0367392739 ISBN-13(EAN): 9780367392734 Издательство: Taylor&Francis Рейтинг: Цена: 10411.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Developed by Jean-Paul Benzйrci more than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. The topicality and importance of correspondence analysis continue, and with the tremendous computing power now available and new fields of application emerging, its significance is greater than ever.
Correspondence Analysis and Data Coding with Java and R clearly demonstrates why this technique remains important and in the eyes of many, unsurpassed as an analysis framework. After presenting some historical background, the author presents a theoretical overview of the mathematics and underlying algorithms of correspondence analysis and hierarchical clustering. The focus then shifts to data coding, with a survey of the widely varied possibilities correspondence analysis offers and introduction of the Java software for correspondence analysis, clustering, and interpretation tools. A chapter of case studies follows, wherein the author explores applications to areas such as shape analysis and time-evolving data. The final chapter reviews the wealth of studies on textual content as well as textual form, carried out by Benzйcri and his research lab. These discussions show the importance of correspondence analysis to artificial intelligence as well as to stylometry and other fields. This book not only shows why correspondence analysis is important, but with a clear presentation replete with advice and guidance, also shows how to put this technique into practice. Downloadable software and data sets allow quick, hands-on exploration of innovative correspondence analysis applications.
Автор: Wang Название: Architecture of Advanced Numerical Analysis Systems ISBN: 1484288521 ISBN-13(EAN): 9781484288528 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This unique open access book applies the functional OCaml programming language to numerical or computational weighted data science, engineering, and scientific applications. This book is based on the authors' first-hand experience building and maintaining Owl, an OCaml-based numerical computing library. You'll first learn the various components in a modern numerical computation library. Then, you will learn how these components are designed and built up and how to optimize their performance. After reading and using this book, you'll have the knowledge required to design and build real-world complex systems that effectively leverage the advantages of the OCaml functional programming language. What You Will Learn * Optimize core operations based on N-dimensional arrays * Design and implement an industry-level algorithmic differentiation module * Implement mathematical optimization, regression, and deep neural network functionalities based on algorithmic differentiation * Design and optimize a computation graph module, and understand the benefits it brings to the numerical computing library * Accommodate the growing number of hardware accelerators (e.g. GPU, TPU) and execution backends (e.g. web browser, unikernel) of numerical computation * Use the Zoo system for efficient scripting, code sharing, service deployment, and composition * Design and implement a distributed computing engine to work with a numerical computing library, providing convenient APIs and high performance Who This Book Is For Those with prior programming experience, especially with the OCaml programming language, or with scientific computing experience who may be new to OCaml. Most importantly, it is for those who are eager to understand not only how to use something, but also how it is built up.
Автор: Wang, Meiqing Название: A Concise Introduction to Image Processing using C++ ISBN: 1584888970 ISBN-13(EAN): 9781584888970 Издательство: Taylor&Francis Рейтинг: Цена: 16078.00 р. Наличие на складе: Нет в наличии.
Автор: Sergei V. Chekanov Название: Scientific Data Analysis using Jython Scripting and Java ISBN: 1447125819 ISBN-13(EAN): 9781447125815 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written by the primary developer of the jHepWork data analysis framework, this practical book, complete with dozens of code snippets, is a reliable reference source that enables readers to lay the foundation for data-analysis applications using Java scripting.
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