Adjective:

ଆବିଷ୍କାର |, ଅନୁସନ୍ଧାନକାରୀ |,

heuristic's Usage Examples:

computational performance gain expected of a heuristic consists of solving a simpler problem whose solution is also a solution to the initial problem.

using an algorithm, to the vague heuristics of calculating a strategy in a competition, or calculating the chance of a successful relationship between.

(GDD), also called growing degree units (GDUs), are a heuristic tool in phenology.

" For example, the representativeness heuristic is defined as “The tendency to judge the frequency or likelihood".

Heuristic-systematic model of information processingThe heuristic-systematic model of information processing describes two depths in the processing of attitude change, systematic processing and heuristic processing.

For example, people will the use the base rate information (or the representativeness heuristic) in the reasoning process when it aligns with the directional goal or desired judgment.

It can be heuristically derived by forming the Taylor series expansion of the function up to.

Each heuristic has a single parameter y.

During the intervening period, now known as the time of the "old quantum theory", physicists worked with approximations and heuristic corrections to.

For Euclidean instances, 2-opt heuristics give on average solutions.

In mathematical optimization and computer science, heuristic (from Greek εὑρίσκω "I find, discover") is a technique designed for solving a problem more.

He conceptualizes rational decisions in terms of the adaptive toolbox (the repertoire of heuristics an individual or institution has) and the.

derived the expected success probabilities for several psychologically plausible heuristics that might be employed in the secretary problem.

Synonyms:

trial-and-error,

Antonyms:

misconception, algorithmic,