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The secretary problem demonstrates a scenario involving optimal stopping theory [1] [2] ... Its solution is also known as the 37% rule. [3]
In mathematics, the theory of optimal stopping [1] [2] or early stopping [3] is concerned with the problem of choosing a time to take a particular action, in order to maximise an expected reward or minimise an expected cost.
A general criticism of non-probabilistic decision rules, discussed in detail at decision theory: alternatives to probability theory, is that optimal decision rules (formally, admissible decision rules) can always be derived by probabilistic methods, with a suitable utility function and prior distribution (this is the statement of the complete ...
Numerical computation of null space — find all solutions of an underdetermined system; Moore–Penrose pseudoinverse — for finding solution with smallest 2-norm (for underdetermined systems) or smallest residual; Sparse approximation — for finding the sparsest solution (i.e., the solution with as many zeros as possible)
[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\%} .
Maps and electoral vote counts for the 2012 presidential election. Our latest estimate has Obama at 332 electoral votes and Romney at 191.
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]
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