Search results
Results from the WOW.Com Content Network
One reason why the secretary problem has received so much attention is that the optimal policy for the problem (the stopping rule) is simple and selects the single best candidate about 37% of the time, irrespective of whether there are 100 or 100 million applicants.
In mathematics, the theory of optimal stopping [1] [2] ... Stopping rule problems are associated with two objects: A sequence of random variables ,, ...
Optimal stopping — choosing the optimal time to take a particular action Odds algorithm; Robbins' problem; Global optimization: BRST algorithm; MCS algorithm; Multi-objective optimization — there are multiple conflicting objectives Benson's algorithm — for linear vector optimization problems
The Gordon–Loeb model is an economic model that analyzes the optimal level of investment in information security. The benefits of investing in cybersecurity stem from reducing the costs associated with cyber breaches. The Gordon-Loeb model provides a framework for determining how much to invest in cybersecurity, using a cost-benefit approach.
[2] 37 is the smallest non-supersingular prime in moonshine theory. 37 is also an emirp because it remains prime when its digits are reversed. The secretary problem is also known as the 37% rule, since 1 e ≈ 37 % {\displaystyle {\tfrac {1}{e}}\approx 37\%} .
Score voting (also called range voting) — is simply approval voting where voters can give a wider range of scores than 0 or 1 (e.g. 0-5 or 0–7). Combined approval voting — form of score voting with three levels that uses a scale of (-1, 0, +1) or (0, .5, 1). D21 – Janeček method — limited to two approval and one negative vote per voter.
Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Donate
Although the term "optimization" is derived from "optimum", [2] achieving a truly optimal system is rare in practice, which is referred to as superoptimization.Optimization typically focuses on improving a system with respect to a specific quality metric rather than making it universally optimal.