Algorithm

(redirected from Algorithmics)
Also found in: Dictionary, Thesaurus, Medical, Encyclopedia.

Algorithm

Any organized set of steps used to help solve a problem. Algorithms are important in several fields, notably mathematics and computing.
References in periodicals archive ?
Algorithmics is a ten-year-old privately held company with 350 staff.
A refinement calculus is, in essence, a language with a transitive refinement relation ??, where some of the terms in the language are algorithmic, and the remainder are available for describing desired behavior.
Program specialization via algorithmic unfold/fold transformations.
It requires a hands-on algorithmics for actually doing realily in a sense akin to the old sixties cachet of "doing drugs," but it also combines a counterintuitive reserve with an open field commitment to what the pianist David Sudnow calls "ways of the hand" or "organization of improvised conduct," instead of settling for well worn Taosing rods urging us to play reality by ear.
IBM (NYSE:IBM) announced on Friday the closing of its acquisition of analytics software and advisory services provider Algorithmics.
Some of the brokerage firms as well as well-respected financial institutions have already implemented Algorithmics analytics across their asset classes such as foreign exchange, equity, bonds, hedge funds and credit derivatives to improve risk control on their respective business activities.
and Nagel, K., "A computational study of routing algorithms for realistic transportation networks," Journal of Experimental Algorithmics, vol.
Such work comprises both positive results--e.g, algorithms with provably efficient performance characteristics, properties of restricted classes of allocation settings, etc.--and a large collection of negative results that suggest many naturally arising decision and optimisation problems are unlikely to admit generally applicable algorithmic solutions.
TELECOMWORLDWIRE-September 1, 2011-IBM to acquire Algorithmics for USD387m(C)1994-2011 M2 COMMUNICATIONS http://www.m2.com
Solutions to these problems required us to borrow ideas from diverse areas in science and engineering, including network science, high-performance computing, urban planning, economics, nonlinear systems, algorithmics, statistics, and so on.
Journal on Experimental Algorithmics 6, Article No.
His focus was on the algorithmics of solving constraints, rather than using solutions to justify program transformations.

Full browser ?