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.
There are generally two approaches to solving optimal stopping problems. [4] When the underlying process (or the gain process) is described by its unconditional finite-dimensional distributions , the appropriate solution technique is the martingale approach, so called because it uses martingale theory, the most important concept being the Snell ...
In decision theory, the odds algorithm (or Bruss algorithm) is a mathematical method for computing optimal strategies for a class of problems that belong to the domain of optimal stopping problems. Their solution follows from the odds strategy, and the importance of the odds strategy lies in its optimality, as explained below.
Flowchart of using successive subtractions to find the greatest common divisor of number r and s. In mathematics and computer science, an algorithm (/ ˈ æ l ɡ ə r ɪ ð əm / ⓘ) is a finite sequence of mathematically rigorous instructions, typically used to solve a class of specific problems or to perform a computation. [1]
An optimal approval vote always votes for the most preferred candidate and not for the least preferred candidate, which is a dominant strategy. An optimal vote can require supporting one candidate and not voting for a more preferred candidate if there 4 candidates or more, e.g. the third and fourth choices are correlated to gain or lose ...
The problem of learning an optimal decision tree is known to be NP-complete under several aspects of optimality and even for simple concepts. [35] [36] Consequently, practical decision-tree learning algorithms are based on heuristics such as the greedy algorithm where locally optimal decisions are made at each node. Such algorithms cannot ...
The higher the four-firm concentration ratio is, the less competitive the market is. When the four-firm concentration ration is higher than 60, the market can be classified as a tight oligopoly. A loose oligopoly occurs when the four-firm concentration is in the range of 40-60. [21]
37% : 1. Yes: 3500: 35%: 1. Yes ... Strategic behaviour by voters can and does influence the outcome of voting in different plurality voting systems. ... Some ranked ...