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Published **1977**
by Academic Press in New York .

Written in English

- Functions, Special -- Data processing.,
- Approximation theory -- Data processing.

**Edition Notes**

Bibliography, p.

Series | Computer science and applied mathematics |

Classifications | |
---|---|

LC Classifications | QA351 |

ID Numbers | |

Open Library | OL18784743M |

Algorithms for the Computation of Mathematical Functions [Luke, Yudell L.] on *FREE* shipping on qualifying offers. Algorithms for the Computation of Mathematical FunctionsCited by: Avi Wigderson Mathematics and Computation Draft: Ma Acknowledgments In this book I tried to present some of the knowledge and understanding I acquired in my four decades in the eld. The main source of this knowledge was the Theory of Computation commu-nity, which has been my academic and social home throughout this period. In particular, Algorithms and Computation in Mathematics emphasizes the computational aspects of algebraic geometry, number theory, combinatorics, commutative, non-commutative and differential algebra, geometric and algebraic topology, group theory, optimization, dynamical systems and Lie theory. Computer Science Stack Exchange is a question and answer site for students, researchers and practitioners of computer science. Good mathematical book on algorithms [closed] Ask Question Asked 4 years, 9 months ago. Sipser’s Introduction to the Theory of Computation seems better in that regard.

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 . Algorithms For The Computation Of Mathematical Functions by Yudell L. Luke / / English / DjVu. Read Online MB Download. Related Mathematics Books. An algorithm in mathematics is a procedure, a description of a set of steps that can be used to solve a mathematical computation: but they are much more common than that thms are used in many branches of science (and everyday life for that matter), but perhaps the most common example is that step-by-step procedure used in long division. hmmm -- looks good about general theory of function approximations. but reading the table of contents, they don't seem to go over specific functions. most functions, if evaluated over a finite range, aren't hard to compute. But over the full range of double inputs, exp() and log() and sqrt() aren't trivial to implement. (sin/cos/tan can make.

The Mathematical-Function Computation Handbook Programming Using the MathCW Portable Software Library. Authors: Beebe, Nelson H.F. Free Preview. Describes the computation of mathematical functions in decimal arithmetic, including coverage of bit floating-point formats; Covers a major part of the NIST Handbook of Mathematical Functions, with. In mathematics and computer science, an algorithm (/ ˈ æ l ɡ ə r ɪ ð əm / ()) is a finite sequence of well-defined, computer-implementable instructions, typically to solve a class of problems or to perform a computation. Algorithms are always unambiguous and are used as specifications for performing calculations, data processing, automated reasoning, and other tasks. Complexity and Real Computation is a book on the computational complexity theory of real studies algorithms whose inputs and outputs are real numbers, using the Blum–Shub–Smale machine as its model of instance, this theory is capable of addressing a question posed in by Roger Penrose in The Emperor's New Mind: "is the Mandelbrot set computable?". (Algorithms do not necessarily represent functions. The instruction: ‘Toss a coin; if the outcome is head, add 1 to x, otherwise, do nothing’ is legitimate and unambiguous, but not deterministic. The output of an algorithm containing such instruction is not a function of the input alone. Algorithms of File Size: KB.

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