A heuristic method is particularly used to rapidly come to a solution that is hoped to be close to the best possible answer. So, in other words, a rule of thumb.

A rigorous method to determine the most influential superspreaders in complex networks is presented—involving the mapping of the problem onto optimal percolation along with a scalable algorithm ...

S Salhi, A Al-Khedhairi, Integrating heuristic information into exact methods: The case of the vertex p-centre problem, The Journal of the Operational Research Society, Vol. 61, No. 11 (November 2010) ...

Heuristic methods can accelerate the aggregate planning process based on the experience and knowledge of the planning team. Examples of heuristic techniques include making judgments based on past ...

Section 2. Methodology: Explain what you did. Assume that your client knows what usability methods are and their purpose. Include the number of experts, the five tasks you chose, and the heuristics ...

Hubbert’s graphical-heuristic method (1956) Cavallo’s article begins, “It is well known that M. K. Hubbert (in 1956) successfully predicted the timing (1970) of peak US oil production.

The Annals of Mathematical Statistics, Vol. 24, No. 2 (Jun., 1953), pp. 220-238 (19 pages) In this paper two closely related heuristic principles of test construction (to be explained in Section 3), ...

Citation Rotemberg, Julio J. "A Heuristic Method for Extracting Smooth Trends from Economic Time Series." NBER Working Paper Series, No. 7439, December 1999.