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A type II Markov move.

The measurable space (S^',S^') into which a random variable from a probability space is a measurable function.

The value at a stationary point.

(Deltau)_i^2=(u_i-u^_)^2, where u^_ is the average of {u_i}.

The probability of getting a positive result for a given test which should produce a positive result.

Three sets of three lines such that each line is incident with two from both other sets.

The unit of solid angle. The solid angle corresponding to all of space being subtended is 4pi steradians.

A method of stochastic optimization including techniques such as gradient search or Robbins-Monro stochastic approximation.

A function f(t) of one or more parameters containing a noise term epsilon(t) f(t)=L(t)+epsilon(t), where the noise is (without loss of generality) assumed to be additive.

If 0<=g(x)<=1 and g is nonincreasing on the interval [0, 1], then for all possible values of a and b, int_0^1g(x^(1/(a+b)))dx>=int_0^1g(x^(1/a))dxint_0^1g(x^(1/b))dx.