10th IMACS World Congress, August 8-13, 1982: Numerical methods for scientific computation, Computers and computer arithmetics for scientific computation, Languages and codes for continuous systems PDF Download
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Author:
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Category : Computer simulation
Languages : en
Pages : 486
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Author:
Publisher:
ISBN:
Category : Computer simulation
Languages : en
Pages : 486
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Author:
Publisher:
ISBN:
Category : Shock (Mechanics)
Languages : en
Pages : 600
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Author:
Publisher:
ISBN:
Category : Computer simulation
Languages : en
Pages : 436
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Author:
Publisher:
ISBN:
Category : Shock (Mechanics)
Languages : en
Pages : 598
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Author:
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ISBN:
Category : Engineering
Languages : en
Pages : 1290
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Author: Robert Vichnevetsky
Publisher:
ISBN:
Category : Differential equations, Partial
Languages : en
Pages : 588
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Author: Hans Petter Langtangen
Publisher: Springer
ISBN: 3662498871
Category : Computers
Languages : en
Pages : 942
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Book Description
The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015
Author: Bowker Editorial Staff
Publisher: R. R. Bowker
ISBN: 9780835238007
Category : Reference
Languages : en
Pages : 2776
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Author: Jerry L. Potter
Publisher: MIT Press (MA)
ISBN: 9780262661799
Category : Computers
Languages : en
Pages : 304
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Book Description
This collection of articles documents the design of one such computer, a single instruction multiple data stream (SIMD) class supercomputer with 16,834 processing units capable of over 6 billion 8 bit operations per second.
Author: Rudi Klatte
Publisher: Springer Science & Business Media
ISBN: 3642772773
Category : Computers
Languages : en
Pages : 348
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Book Description
This manual describes a PASCAL extension for scientific computation with the short title PASCAL-XSC (PASCAL eXtension for Scientific Computation). The language is the result of a long term effort of members of the Institute for Applied Mathematics of Karlsruhe University and several associated scientists. PASCAL XSC is intended to make the computer more powerful arithmetically than usual. It makes the computer look like a vector processor to the programmer by providing the vector/matrix operations in a natural form with array data types and the usual operator symbols. Programming of algorithms is thus brought considerably closer to the usual mathematical notation. As an additional feature in PASCAL-XSC, all predefined operators for real and complex numbers and intervals, vectors, matrices, and so on, deliver an answer that differs from the exact result by at most one rounding. Numerical mathematics has devised algorithms that deliver highly accurate and automatically verified results by applying mathematical fixed point theorems. That is, these computations carry their own accuracy control. However, their imple mentation requires arithmetic and programming tools that have not been available previously. The development of PASCAL-XSC has been aimed at providing these tools within the PASCAL setting. Work on the subject began during the 1960's with the development of a general theory of computer arithmetic. At first, new algorithms for the realization of the arithmetic operations had to be developed and implemented.
