Handbook of Mathematics and Computational Science

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Release : 1998-07-23
Genre : Mathematics
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Book Rating : 464/5 ( reviews)

Handbook of Mathematics and Computational Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Mathematics and Computational Science write by John W. Harris. This book was released on 1998-07-23. Handbook of Mathematics and Computational Science available in PDF, EPUB and Kindle. This book gathers thousands of up-to-date equations, formulas, tables, illustrations, and explanations into one invaluable volume. It includes over a thousand pages of mathematical material as well as chapters on probability, mathematical statistics, fuzzy logic, and neural networks. It also contains computer language overviews of C, Fortran, and Pascal.

The Mathematical-Function Computation Handbook

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Release : 2017-08-20
Genre : Computers
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Book Rating : 107/5 ( reviews)

The Mathematical-Function Computation Handbook - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Mathematical-Function Computation Handbook write by Nelson H.F. Beebe. This book was released on 2017-08-20. The Mathematical-Function Computation Handbook available in PDF, EPUB and Kindle. This highly comprehensive handbook provides a substantial advance in the computation of elementary and special functions of mathematics, extending the function coverage of major programming languages well beyond their international standards, including full support for decimal floating-point arithmetic. Written with clarity and focusing on the C language, the work pays extensive attention to little-understood aspects of floating-point and integer arithmetic, and to software portability, as well as to important historical architectures. It extends support to a future 256-bit, floating-point format offering 70 decimal digits of precision. Select Topics and Features: references an exceptionally useful, author-maintained MathCW website, containing source code for the book’s software, compiled libraries for numerous systems, pre-built C compilers, and other related materials; offers a unique approach to covering mathematical-function computation using decimal arithmetic; provides extremely versatile appendices for interfaces to numerous other languages: Ada, C#, C++, Fortran, Java, and Pascal; presupposes only basic familiarity with computer programming in a common language, as well as early level algebra; supplies a library that readily adapts for existing scripting languages, with minimal effort; supports both binary and decimal arithmetic, in up to 10 different floating-point formats; covers a significant portion (with highly accurate implementations) of the U.S National Institute of Standards and Technology’s 10-year project to codify mathematical functions. This highly practical text/reference is an invaluable tool for advanced undergraduates, recording many lessons of the intermingled history of computer hardw are and software, numerical algorithms, and mathematics. In addition, professional numerical analysts and others will find the handbook of real interest and utility because it builds on research by the mathematical software community over the last four decades.

Handbook of Writing for the Mathematical Sciences

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Release : 1998-08-01
Genre : Mathematics
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Book Rating : 206/5 ( reviews)

Handbook of Writing for the Mathematical Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Writing for the Mathematical Sciences write by Nicholas J. Higham. This book was released on 1998-08-01. Handbook of Writing for the Mathematical Sciences available in PDF, EPUB and Kindle. Nick Higham follows up his successful HWMS volume with this much-anticipated second edition.

Handbook of Mathematical Models for Languages and Computation

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Release : 2020-01-10
Genre : Computers
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Book Rating : 595/5 ( reviews)

Handbook of Mathematical Models for Languages and Computation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Mathematical Models for Languages and Computation write by Alexander Meduna. This book was released on 2020-01-10. Handbook of Mathematical Models for Languages and Computation available in PDF, EPUB and Kindle. This handbook introduces a variety of concepts in discrete mathematics and mathematical modeling for languages and computation. The authors pay special attention to the implementation of mathematical concepts to explain clearly how to encode them in computational practice. All computer programs are written in C#.

Handbook of Mathematical Models in Computer Vision

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Release : 2006-01-16
Genre : Computers
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Book Rating : 317/5 ( reviews)

Handbook of Mathematical Models in Computer Vision - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Mathematical Models in Computer Vision write by Nikos Paragios. This book was released on 2006-01-16. Handbook of Mathematical Models in Computer Vision available in PDF, EPUB and Kindle. Abstract Biological vision is a rather fascinating domain of research. Scientists of various origins like biology, medicine, neurophysiology, engineering, math ematics, etc. aim to understand the processes leading to visual perception process and at reproducing such systems. Understanding the environment is most of the time done through visual perception which appears to be one of the most fundamental sensory abilities in humans and therefore a significant amount of research effort has been dedicated towards modelling and repro ducing human visual abilities. Mathematical methods play a central role in this endeavour. Introduction David Marr's theory v^as a pioneering step tov^ards understanding visual percep tion. In his view human vision was based on a complete surface reconstruction of the environment that was then used to address visual subtasks. This approach was proven to be insufficient by neuro-biologists and complementary ideas from statistical pattern recognition and artificial intelligence were introduced to bet ter address the visual perception problem. In this framework visual perception is represented by a set of actions and rules connecting these actions. The emerg ing concept of active vision consists of a selective visual perception paradigm that is basically equivalent to recovering from the environment the minimal piece information required to address a particular task of interest.