Search for "Stochastic optimization" in article titles:

1. Stochastic optimization: Stochastic optimization (SO) methods are optimization methods that generate and use random variables. For stochastic problems, the random variables appear in the formulation of the optimization problem itself, which involves random objective functions or random constraints. [100%] 2023-09-18 [Stochastic optimization] [Monte Carlo methods]...

Suggestions for article titles:

1. Optimization (computer science): In computer science, particularly in the study of compilers, an optimization is a transformation of computer programs that, when applied to a computer program P, produces an equivalent program P' which is in some way more optimal (i.e. faster ... (Computer science) [70%] 2023-07-27
2. Optimization (mathematics): In mathematics, the term optimization refers to study of problems in which one seeks for a minimum or a maximum of a real function within a given allowed set. This problem can be presented in the following way. (Mathematics) [70%] 2023-06-12
3. Optimization (role-playing games): REDIRECT Powergaming * From a merge: This is a redirect from a page that was merged into another page. This redirect was kept in order to preserve this page's edit history after its content was merged into the target page ... (Software) [70%] 2024-10-28
4. Optimisation: Optimization is the process of finding extrema (maximum or minimum values) of a particular function. In this guide we will use differentiation to determine these extrema of functions of one or more variables. [64%] 2024-01-26 [Calculus]
5. Optimisation: Optimization is the process of finding extrema (maximum or minimum values) of a particular function. In this guide we will use differentiation to determine these extrema of functions of one or more variables. [64%] 2024-01-09 [Calculus]
6. Stochastica: Stochastica is a moth genus in the subfamily Autostichinae. It contains the species Stochastica virgularia, which is found in China (Yunnan). (Biology) [64%] 2024-08-18 [Autostichinae]
7. Stochastic matrix: In mathematics, a stochastic matrix is a square matrix used to describe the transitions of a Markov chain. Each of its entries is a nonnegative real number representing a probability. (Matrix used to describe the transitions of a Markov chain) [50%] 2024-01-08 [Matrices] [Markov models]...
8. Stochastic oscillator: In technical analysis of securities trading, the stochastic oscillator is a momentum indicator that uses support and resistance levels. George Lane developed this indicator in the late 1950s. (Finance) [50%] 2023-11-13 [Technical indicators]
9. Stochastic integral: An integral "∫ H dX" with respect to a semi-martingale $ X $ on some stochastic basis $ ( \Omega , {\mathcal F} , ( {\mathcal F} _ {t} ) _ {t} , {\mathsf P} ) $, defined for every locally bounded predictable process $ H = ( H _ {t} , {\mathcal F} _ ... (Mathematics) [50%] 2024-01-12 [Stochastic analysis]
10. Stochastic modelling (insurance): "Stochastic" means being or having a random variable. A stochastic model is a tool for estimating probability distributions of potential outcomes by allowing for random variation in one or more inputs over time. (Insurance) [50%] 2023-12-19 [Actuarial science] [Stochastic models]...
11. Stochastic volatility: In statistics, stochastic volatility models are those in which the variance of a stochastic process is itself randomly distributed. They are used in the field of mathematical finance to evaluate derivative securities, such as options. (Finance) [50%] 2023-05-19 [Mathematical finance] [Options (finance)]...
12. Stochastic control: Stochastic control or stochastic optimal control is a sub field of control theory that deals with the existence of uncertainty either in observations or in the noise that drives the evolution of the system. The system designer assumes, in a ... (Probabilistic optimal control) [50%] 2022-11-05 [Control theory] [Stochastic processes]...
13. Stochastic game: A dynamic game in which the transition distribution function does not depend on the history of the game, i.e. $$ F( x _ {k} \mid x _ {1} , s ^ {( x _ {1} ) } \dots x _ {k-} 1 , s ^ {( x _ ... (Mathematics) [50%] 2023-08-30
14. Stochastic scheduling: Stochastic scheduling concerns scheduling problems involving random attributes, such as random processing times, random due dates, random weights, and stochastic machine breakdowns. Major applications arise in manufacturing systems, computer systems, communication systems, logistics and transportation, and machine learning, among others. (Problems involving random attributes) [50%] 2023-09-08 [Scheduling (computing)]
15. Stochastic calculus: Stochastic calculus is a branch of mathematics that operates on stochastic processes. It allows a consistent theory of integration to be defined for integrals of stochastic processes with respect to stochastic processes. [50%] 2023-12-09 [Stochastic processes] [Mathematical finance]...
16. Stochastic resonance: Broadly speaking, stochastic resonance is a mechanism by which a system embedded in a noisy environment acquires an enhanced sensitivity towards small external time-dependent forcings, when the noise intensity reaches some finite level. As such it highlights the possibility ... [50%] 2021-12-24 [Dynamical Systems] [Oscillators]...
17. Stochastic basis: A complete probability space $ ( \Omega , {\mathcal F} , {\mathsf P}) $ with an increasing family $ \mathbf F = ( {\mathcal F} _ {t} ) _ {t \geq 0 } $ of sub- $ \sigma $- algebras $ {\mathcal F} _ {t} \subseteq {\mathcal F} $, which satisfies the (so-called usual ... (Mathematics) [50%] 2023-10-12
18. Stochastic continuity: continuity in probability A property of the sample functions of a stochastic process. A stochastic process $X(t)$ defined on a set $T \subseteq \mathbf{R}^1$ is called stochastically continuous on this set if for any $\epsilon > 0$ and ... (Mathematics) [50%] 2023-09-07
19. Stochastic programming: The branch of mathematical programming in which one studies the theory and methods for the solution of conditional extremal problems, given incomplete information on the aims and restrictions of the problem. Stochastic programming includes many particular problems of control, planning ... (Mathematics) [50%] 2023-10-17