Simultaneous perturbation stochastic approximation (SPSA) is an algorithmic method for optimizing systems with multiple unknown parameters. It is a type...
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Stochastic approximation methods are a family of iterative methods typically used for root-finding problems or for optimization problems. The recursive...
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N<1000). Simultaneous perturbation stochastic approximation (SPSA) method for stochastic optimization; uses random (efficient) gradient approximation. Methods...
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Spall, J. C. (1992). "Multivariate Stochastic Approximation Using a Simultaneous Perturbation Gradient Approximation". IEEE Transactions on Automatic Control...
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S2CID 12396034. Spall, J. C. (2000). "Adaptive Stochastic Approximation by the Simultaneous Perturbation Method". IEEE Transactions on Automatic Control...
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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...
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algorithm for every agent Simultaneous perturbation stochastic approximation (SPSA) Luus–Jaakola Particle swarm optimization Stochastic tunneling Harmony search...
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Statistical mechanics (section Stochastic methods)
non-equilibrium statistical mechanics is to incorporate stochastic (random) behaviour into the system. Stochastic behaviour destroys information contained in the...
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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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Finite difference method (redirect from Finite-difference approximation)
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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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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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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(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...
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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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Fluid dynamics (section Other approximations)
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...
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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...
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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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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...
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beyond discrete objects include transcendental numbers, diophantine approximation, p-adic analysis and function fields. Algebraic structures occur as...
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BKL singularity (section Two perturbations)
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...
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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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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...
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