• Simultaneous perturbation stochastic approximation (SPSA) is an algorithmic method for optimizing systems with multiple unknown parameters. It is a type...
    9 KB (1,555 words) - 21:05, 24 May 2025
  • Stochastic approximation methods are a family of iterative methods typically used for root-finding problems or for optimization problems. The recursive...
    28 KB (4,388 words) - 08:32, 27 January 2025
  • Thumbnail for Mathematical optimization
    N<1000). Simultaneous perturbation stochastic approximation (SPSA) method for stochastic optimization; uses random (efficient) gradient approximation. Methods...
    53 KB (6,155 words) - 23:42, 31 May 2025
  • Spall, J. C. (1992). "Multivariate Stochastic Approximation Using a Simultaneous Perturbation Gradient Approximation". IEEE Transactions on Automatic Control...
    12 KB (1,071 words) - 06:25, 15 December 2024
  • S2CID 12396034. Spall, J. C. (2000). "Adaptive Stochastic Approximation by the Simultaneous Perturbation Method". IEEE Transactions on Automatic Control...
    53 KB (7,031 words) - 21:06, 15 June 2025
  • Thumbnail for Simulation-based optimization
    S.D. Optimization of discrete event systems via simultaneous perturbation stochastic approximation. IIE Transactions 29, 233–243 (1997). https://doi...
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  • In quantum mechanics, perturbation theory is a set of approximation schemes directly related to mathematical perturbation for describing a complicated...
    70 KB (15,991 words) - 17:43, 25 May 2025
  • algorithm for every agent Simultaneous perturbation stochastic approximation (SPSA) Luus–Jaakola Particle swarm optimization Stochastic tunneling Harmony search...
    70 KB (8,327 words) - 09:12, 7 June 2025
  • non-equilibrium statistical mechanics is to incorporate stochastic (random) behaviour into the system. Stochastic behaviour destroys information contained in the...
    43 KB (5,068 words) - 08:53, 3 June 2025
  • Thumbnail for Brownian motion
    water. In 1900, the French mathematician Louis Bachelier modeled the stochastic process now called Brownian motion in his doctoral thesis, The Theory...
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  • lower James River in Virginia, United States Simultaneous perturbation stochastic approximation, a stochastic method for optimization, especially appropriate...
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  • errors of measurement, errors in input data, parameter estimation and approximation procedure, absence of information and poor or partial understanding...
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  • tool in solid state physics, but was hindered by the extensive use of perturbation theory, which prevented the theory from succeeding in strongly correlated...
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  • holds for the continuous case. The SBP-SAT (summation by parts - simultaneous approximation term) method is a stable and accurate technique for discretizing...
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  • Thumbnail for Dynamo theory
    mean density and ρ ′ {\displaystyle \rho '} is the relative density perturbation that provides buoyancy (for thermal convection ρ ′ = α Δ T {\displaystyle...
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  • Thumbnail for Hamiltonian mechanics
    that one can specify the exact position and momentum of the particle simultaneously at any point in time. However, the equations can be further generalized...
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  • Thumbnail for Miroslav Krstić
    (with Oliveira) stochastic extremum seeking for ES with random walk perturbations, like employed by E.Coli bacteria (with Liu) generalized stochastic averaging...
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  • of small modeling errors. Stochastic control deals with control design with uncertainty in the model. In typical stochastic control problems, it is assumed...
    45 KB (6,774 words) - 01:00, 17 March 2025
  • non-physical models that provide a computationally efficient approximation to local string theory. Stochastic (partial) differential equations (SDEs) are the foundation...
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  • Thumbnail for Fluid dynamics
    which the flow is broken down into the sum of an average component and a perturbation component. It is believed that turbulent flows can be described well...
    32 KB (4,347 words) - 23:51, 24 May 2025
  • Mean-field particle methods (category Stochastic simulation)
    Pierre; Miclo, Laurent (2000). "A Moran particle system approximation of Feynman-Kac formulae". Stochastic Processes and Their Applications. 86 (2): 193–216...
    60 KB (8,594 words) - 16:17, 27 May 2025
  • Thumbnail for Asteroseismology
    By additionally assuming that the perturbation to the gravitational potential is negligible (the Cowling approximation) and that the star's structure varies...
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  • Thumbnail for Social choice theory
    Classical Conformal Effective Gauge Quantum Statistical Topological Perturbation theory in quantum mechanics Potential theory String theory Bosonic Topological...
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  • solution to the BTE is employed using either a deterministic method or a stochastic method. Deterministic method solution is based on a grid-based numerical...
    32 KB (5,007 words) - 19:49, 16 April 2025
  • Thumbnail for Discrete mathematics
    beyond discrete objects include transcendental numbers, diophantine approximation, p-adic analysis and function fields. Algebraic structures occur as...
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  • Thumbnail for BKL singularity
    action of one type of perturbations becomes incorrect; one must take into account the simultaneous effect of two perturbation types. Consider a long...
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  • Particle filter (category Stochastic simulation)
    Pierre; Miclo, Laurent (2000). "A Moran particle system approximation of Feynman-Kac formulae". Stochastic Processes and Their Applications. 86 (2): 193–216...
    95 KB (16,934 words) - 15:13, 4 June 2025
  • to study arbitrary sets of operators with little algebraic relation simultaneously. From this point of view, operator algebras can be regarded as a generalization...
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  • is, the physical path has the property that small perturbations of it will, to a first approximation, not change the integral of the Lagrangian. Calculus...
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  • Thumbnail for Swarm intelligence
    of particles that move with a constant speed but respond to a random perturbation by adopting at each time increment the average direction of motion of...
    46 KB (5,034 words) - 04:47, 9 June 2025