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- Taylor and Francis 2014; US$ 89.95
Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical problems commonly faced by scientists and engineers.... more...
- Taylor and Francis 2015; US$ 89.95
Developing applications that scale well on massively parallel architectures is quite difficult, due to problems with synchronization and communication time as well as fault tolerance. This book reviews current algorithms and presents new mathematical versions that avoid such problems. It details the implementation and validates the proposed versions... more...
- Taylor and Francis 2015; US$ 69.95
The second edition of this popular text on Maple? programming has been updated to reflect Maple version 15. Suitable for new and advanced users, the guide covers the latest features of Maple and offers a tutorial that extends from high school algebra and graphing to advanced topics of mathematics, such as special functions, multivariable calculus,... more...
- Taylor and Francis 2015; US$ 79.95
Introduction to Computational Linear Algebra introduces the reader with a background in basic mathematics and computer programming to the fundamentals of dense and sparse matrix computations with illustrating examples. The textbook is a synthesis of conceptual and practical topics in "Matrix Computations." The book?s learning outcomes are twofold:... more...
- Taylor and Francis 2009; US$ 96.95
A Thorough Overview of the Next Generation in Computing Poised to follow in the footsteps of the Internet, grid computing is on the verge of becoming more robust and accessible to the public in the near future. Focusing on this novel, yet already powerful, technology, Introduction to Grid Computing explores state-of-the-art grid projects,... more...
- Taylor and Francis 2010; US$ 104.95
With contributions from some of the most notable experts in the field, Performance Tuning of Scientific Applications presents current research in performance analysis. The book focuses on the following areas. Performance monitoring : Describes the state of the art in hardware and software tools that are commonly used for monitoring and measuring... more...
- Taylor and Francis 2010; US$ 104.95
The hybrid/heterogeneous nature of future microprocessors and large high-performance computing systems will result in a reliance on two major types of components: multicore/manycore central processing units and special purpose hardware/massively parallel accelerators. While these technologies have numerous benefits, they also pose substantial performance... more...
- Taylor and Francis 2009; US$ 91.95
Known for its versatility, the free programming language R is widely used for statistical computing and graphics, but is also a fully functional programming language well suited to scientific programming. An Introduction to Scientific Programming and Simulation Using R teaches the skills needed to perform scientific programming while also introducing... more...
- Princeton University Press 2013; US$ 75.00
The natural numbers have been studied for thousands of years, yet most undergraduate textbooks present number theory as a long list of theorems with little mention of how these results were discovered or why they are important. This book emphasizes the historical development of number theory, describing methods, theorems, and proofs in the contexts... more...