Get it on Google Play
New! Download Unionpedia on your Android™ device!
Faster access than browser!

Random search

Index Random search

Random search (RS) is a family of numerical optimization methods that do not require the gradient of the problem to be optimized, and RS can hence be used on functions that are not continuous or differentiable. [1]

10 relations: Continuous function, Derivative-free optimization, Differentiable function, Hypersphere, Luus–Jaakola, Mathematical optimization, Normal distribution, Pattern search (optimization), Random optimization, Uniform distribution (continuous).

Continuous function

In mathematics, a continuous function is a function for which sufficiently small changes in the input result in arbitrarily small changes in the output.

New!!: Random search and Continuous function · See more »

Derivative-free optimization

Derivative-free optimization is a discipline in mathematical optimization that does not use derivative information in the classical sense to find optimal solutions: Sometimes information about the derivative of the objective function f is unavailable, unreliable or impractical to obtain.

New!!: Random search and Derivative-free optimization · See more »

Differentiable function

In calculus (a branch of mathematics), a differentiable function of one real variable is a function whose derivative exists at each point in its domain.

New!!: Random search and Differentiable function · See more »


In geometry of higher dimensions, a hypersphere is the set of points at a constant distance from a given point called its center.

New!!: Random search and Hypersphere · See more »


In computational engineering, Luus–Jaakola (LJ) denotes a heuristic for global optimization of a real-valued function.

New!!: Random search and Luus–Jaakola · See more »

Mathematical optimization

In mathematics, computer science and operations research, mathematical optimization or mathematical programming, alternatively spelled optimisation, is the selection of a best element (with regard to some criterion) from some set of available alternatives.

New!!: Random search and Mathematical optimization · See more »

Normal distribution

In probability theory, the normal (or Gaussian or Gauss or Laplace–Gauss) distribution is a very common continuous probability distribution.

New!!: Random search and Normal distribution · See more »

Pattern search (optimization)

Pattern search (also known as direct search, derivative-free search, or black-box search) is a family of numerical optimization methods that does not require a gradient.

New!!: Random search and Pattern search (optimization) · See more »

Random optimization

Random optimization (RO) is a family of numerical optimization methods that do not require the gradient of the problem to be optimized and RO can hence be used on functions that are not continuous or differentiable.

New!!: Random search and Random optimization · See more »

Uniform distribution (continuous)

In probability theory and statistics, the continuous uniform distribution or rectangular distribution is a family of symmetric probability distributions such that for each member of the family, all intervals of the same length on the distribution's support are equally probable.

New!!: Random search and Uniform distribution (continuous) · See more »

Redirects here:

Random Search.


[1] https://en.wikipedia.org/wiki/Random_search

Hey! We are on Facebook now! »