Introducing EngineerZone, where DSP engineers go for answers
A new online technical support forum by Analog Devices providing direct access to DSP support engineers. Search FAQs and share knowledge with DSP developers and peers. Join us www.analog.com/EZ

Free Tutorial - 8051

	Wolfson Makes High Quality Audio More Affordable | Synopsys and Actel Renew OEM Relationship for FPGA Design Software . . . all news releases for algorithms last week's e-clips alert for algorithms
sponsor: curious about twitter? check out eg3com twitter!

best websites for algorithms:

showcase, repositories, vendors (3 records)
archives, articles (6 records)
books a-d (11 records)
tutorials, papers, projects (7 records)
seminars, resources, newsgroups... (6 records)

top ten, free stuff, & vendors for algorithms:

e-clips "eReport: " best websites for algorithms
demos, shareware & freeware for algorithms
algorithms vendor guide
algorithms services guide

Alacron produces high performance frame grabbers, accelerated frame grabbers in PCI, PCI-X, PCIe, PMC and PCMCIA form factors. Also, Alacron produces a wide range of high-speed recording and storage systems using disk and flash technology. Our hardware products support demanding, real-time imaging, machine vision, and DSP applications. All Alacron subsystems are supported by a full range of software development tools, including highly optimized micro-coded imaging, machine vision, and compression libraries.

Definition: In mathematics, computing, linguistics and related disciplines, an algorithm is a sequence of instructions, often used for calculation and data processing. It is formally a type of effective method in which a list of well-defined instructions for completing a task will, when given an initial state, proceed through a well-defined series of successive states, eventually terminating in an end-state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as probabilistic algorithms, incorporate randomness. A partial formalization of the concept began with attempts to solve the Entscheidungsproblem (the 'decision problem') posed by David Hilbert in 1928. Subsequent formalizations were framed as attempts to define 'effective calculability' (Kleene 1943:274) or 'effective method' (Rosser 1939:225); those formalizations included the Gödel-Herbrand-Kleene recursive functions of 1930, 1934 and 1935, Alonzo Church's lambda calculus of 1936, Emil Post's 'Formulation I' of 1936, and Alan Turing's Turing machines of 1936-7 and 1939. In mathematics, computing, linguistics and related disciplines, an algorithm is a sequence of instructions, often used for calculation and data processing. It is formally a type of effective method in which a list of well-defined instructions for completing a task will, when given an initial state, proceed through a well-defined series of successive states, eventually terminating in an end-state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as probabilistic algorithms, incorporate randomness. A partial formalization of the concept began with attempts to solve the Entscheidungsproblem (the 'decision problem') posed by David Hilbert in 1928. Subsequent formalizations were framed as attempts to define 'effective calculability' (Kleene 1943:274) or 'effective method' (Rosser 1939:225); those formalizations included the Gödel-Herbrand-Kleene recursive functions of 1930, 1934 and 1935, Alonzo Church's lambda calculus of 1936, Emil Post's 'Formulation I' of 1936, and Alan Turing's Turing machines of 1936-7 and 1939. Source: Wikipedia (http://en.wikipedia.org/wiki/Algorithm)