Computers are extremely versatile. In fact, they are universal information-processing machines. According to the Church–Turing thesis, a computer with a certain minimum threshold capability is in principle capable of performing the tasks of any other computer, from those of a personal digital assistant to a supercomputer, as long as time and memory capacity are not considerations. Therefore, the same computer designs may be adapted for tasks ranging from processing company payrolls to controlling unmanned spaceflights. Due to technological advancement, modern electronic computers are exponentially more capable than those of preceding generations (a phenomenon partially described by Moore's Law).
Computers take numerous physical forms. Early electronic computers were the size of a large room, and such enormous computing facilities still exist for specialized scientific computation — supercomputers — and for the transaction processing requirements of large companies, generally called mainframes. Smaller computers for individual use, called personal computers, and their portable equivalent, the laptop computer, are ubiquitous information-processing and communication tools and are perhaps what most non-experts think of as "a computer". However, the most common form of computer in use today is the embedded computer, small computers used to control another device. Embedded computers control machines from fighter aircraft to digital cameras.
Calculus: Early Transcendentals Single Variable, Textbook and Student Study Guide and Student Solutions Manual, 8th Edition Howard Anton, Irl Bivens, Stephen Davis Mon, 19 May 2008 04:00:00 -0000 Designed for the freshman/sophomore Calculus I-II-III sequence, the eighth edition continues to evolve to fulfill the needs of a changing market by providing flexible solutions to teaching and learning needs of all kinds. The new edition retains the strengths of earlier editions such as Anton's trademark clarity of exposition, sound mathematics, excellent exercises and examples, and appropriate level. Read More... Probabilities: The Little Numbers That Rule Our Lives + Probably Not: Future Prediction Using Probability and Statistical Inference Set Peter Olofsson, Lawrence N. Dworsky Fri, 16 May 2008 04:00:00 -0000 This set contains: 9780470040010 Probabilities: The Little Numbers That Rule Our Lives by Peter Olofsson and 9780470184011 Probably Not: Future Prediction Using Probability and Statistical Inference by Lawrence N. Dworsky Read More... Teach Yourself VISUALLY Calculus Dale W. Johnson, M.A. Mon, 12 May 2008 04:00:00 -0000 Calculus can test the limits of even the most advanced math students. This visual, easy-to-follow book deconstructs complex mathematical concepts in a way that's infinitely easier to grasp. With clear, color-coded methods, you'll get step-by-step instructions on solving problems using limits, derivatives, differentiation, curve sketching, and integrals. Easy access to concepts means you don't have to sort through lengthy instructional text, Read More... Functions Modeling Change: A Preparation for Calculus 3rd Edition with WebAssign 1 Semester Set Eric Connally Mon, 05 May 2008 04:00:00 -0000 Read More... Calculus: Multivariable 4th Edition with WebAssign 1 Semester Set William G. McCallum Mon, 05 May 2008 04:00:00 -0000 Read More... Probability and Statistics for Computer Science James L. Johnson Fri, 02 May 2008 04:00:00 -0000 A unique probability guide for computer science Read More...
Computational Projects in Number Theory - Interesting problems, usually requiring extensive verifications or enumerations, to occupy the idle CPU time of workstations and personal computers. Compiled by Tomás Oliveira e Silva.
The LLL Algorithm - Papers on the LLL algorithm and its applications collected by François Koeune.
Meta Description: [ A list of interesting papers on the LLL algorithm and its applications to cryptology. ]
Visible Euclidean Algorithm - Enter two positive integers, and click the button to see the operations of the Euclidean Algorithm.
Google Tech Talks March, 3 2008 ABSTRACT Introduction Project mission statement, history, internal organization, partners, CGAL in numbers. What's in CGAL A survey on
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Recent work in the area of computational modeling for neuroimaging has brought about a potential revolution in understanding brain function. Using both machine learning and Neural Network methodology,
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Computational sciences have greatly impacted how our society gathers and produces knowledge. What are the implications and outlook for this new third pillar of the empirical sciences?
Steven Pinker on the computational theory of mind and evolutionary psychology. Our mental faculties assume a world like that of our ancestors. Pinker describes some of the tricks
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The Computational and Basic Sciences Focus Area seeks to integrate physical and chemical experimental research with computational sciences as the preferred method for understanding and developing technologies, advanced materials