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heuristic

- 5 dictionary results

heu⋅ris⋅tic

[hyoo-ris-tik or, often, yoo-]
–adjective
1. serving to indicate or point out; stimulating interest as a means of furthering investigation.
2. encouraging a person to learn, discover, understand, or solve problems on his or her own, as by experimenting, evaluating possible answers or solutions, or by trial and error: a heuristic teaching method.
3. of, pertaining to, or based on experimentation, evaluation, or trial-and-error methods.
4. Computers, Mathematics. pertaining to a trial-and-error method of problem solving used when an algorithmic approach is impractical.
–noun
5. a heuristic method of argument.
6. the study of heuristic procedure.

Origin:
1815–25; < NL heuristicus, equiv. to Gk heur(ískein) to find out, discover + L -isticus -istic


heu⋅ris⋅ti⋅cal⋅ly, adverb
heu·ris·tic   (hyŏŏ-rĭs'tĭk)   
adj.  
  1. Of or relating to a usually speculative formulation serving as a guide in the investigation or solution of a problem: "The historian discovers the past by the judicious use of such a heuristic device as the 'ideal type'" (Karl J. Weintraub).
  2. Of or constituting an educational method in which learning takes place through discoveries that result from investigations made by the student.
  3. Computer Science Relating to or using a problem-solving technique in which the most appropriate solution of several found by alternative methods is selected at successive stages of a program for use in the next step of the program.
n.  
  1. A heuristic method or process.
  2. heuristics (used with a sing. verb) The study and application of heuristic methods and processes.

[From Greek heuriskein, to find.]
heu·ris'ti·cal·ly adv.

Heuristic

Heu*ris"tic\, a. [Gr. ? to discover.] Serving to discover or find out.

heuristic 
"serving to discover or find out," 1821, irregular formation from Gk. heuretikos "inventive," related to heuriskein "to find" (cognate with O.Ir. fuar "I have found"). Heuristics "study of heuristic methods," first recorded 1959.

heuristic
1. A rule of thumb, simplification, or educated guess that reduces or limits the search for solutions in domains that are difficult and poorly understood. Unlike algorithms, heuristics do not guarantee optimal, or even feasible, solutions and are often used with no theoretical guarantee.
2. approximation algorithm.
(2001-04-12)

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