simultaneous perturbation stochastic approximation
On an Adaptive Filter based on Simultaneous Perturbation Stochastic Approximation Method
... the simultaneous perturbation stochastic approximation (SPSA) algorithm is used for seeking optimal parameters in an adaptive filter developed for assimi- lating observations in very high ...
6
Chapter 7_handout.pdf
... Simultaneous Perturbation Stochastic Approximation,” IEEE Transactions on Automatic Control , vol. (1992), “Multivariate Stochastic Approximation Using a[r] ...
20
Gradient Estimation with Simultaneous Perturbation and Compressive Sensing
... We propose a scheme for finding a “good” estimator for the gradient of a function on a high-dimensional space with few function evaluations, for applications where function evaluations are expensive and the function ...
27
Breast Tumor Localization Using Simultaneous Perturbation Stochastic Neural Algorithm
... the simultaneous pertur- bation stochastic approximation (SPSA) algorithm to select the optimum number of hidden nodes and the op- timum initial weights for the ...
5
APPROXIMATION TO THE COVARIANCE MATRIX FOR STOCHASTIC POINT KINETICS
... Since stochastic point kinetics is a generalization of point kinetics, one way to decrease the variance values is to attenuate the contribution of the term that differentiates these two formulations of the ...
8
Stochastic Modified Equations and Dynamics of Stochastic Gradient Algorithms I: Mathematical Foundations
... using stochastic differential equations to study the precise dynamical properties of stochastic gradient descent are the independent works of Li et ...SDE approximation of SGD and SGD with momentum ...
47
One Tree Suffices: A Simultaneous $O(1)$-Approximation for Single-Sink Buy-at-Bulk
... the simultaneous and oblivious objectives is not a tech- nicality in the objective but rather a fundamental difference and that the gap between these ratios can be ...of simultaneous SSBaB and gave an ...
18
Parameter estimation in linear discrete system : new algorithms for stochastic approximation scheme
... PARAMETER ESTIMATION IN LINEAR DISCRETE SYSTEM: NEW ALGORITHMS FOR STOCHASTIC APPROXIMATION SCHEME.. by.[r] ...
254
A predator-prey model with effect of toxicity and with stochastic perturbation
... Abstract. This paper reports on the behaviors of stochastic predator-prey populations in toxic environment. We show that the model established in this paper possesses non-negative solutions as this is essential in ...
11
Invariant Points and 𝜀 Simultaneous Approximation
... Corollary 2.6. Let T be a continuous self-map on a complete convex metric space X, d with Property (I) and satisfying inequality 2.2, let F be a nonempty bounded subset of X such that Tx x for all x ∈ F, and let C be a ...
11
Liminf Sets in Simultaneous Diophantine Approximation
... Thus, the concept of a hypercube of new generation renders the idea that such a polytope covers a volume inside a given hypercube which has been covered by no other. The next proposition counts the number of such ...
18
Time series recursions and stochastic approximation
... Turning to consider the convergence of these recursions, we find Ljung (1977a) and Hannan (1976) have provided analyses of RMLi by requiring the recursions be monitored (with this requirement both analyses would clearly ...
198
Stochastic Approximation Method for Fixed Point Problems
... of stochastic approximation for finding fixed points of weakly contractive and nonexpan- sive operators in Hilbert spaces under the condition that operators are given with random ...the stochastic ...
10
A Stationary Stochastic Approximation Algorithm for Estimation in the GLMM
... the underlying integrand has exactly the same form as its approximations. Table 5.1 displays the mean bias and standard error over 200 replications and Table 5.3 shows the p-values of testing “no difference between the ...
101
Approximate symmetries in nonlinear viscoelastic media
... the perturbation theory, the expansions of the dependent variables in the one-parameter Lie group of infinitesimal transformations of equation ...the perturbation point of view and can be generalized in a ...
8
On constrained Langevin equations and (bio)chemical reaction networks
... mentally stochastic in ...field approximation to these systems and are generally good predictors when the abundances of all species are high enough to average out the stochastic ...common ...
30
Stochastic perturbation theory and the gluon condensate
... of stochastic perturbation theory to calculate a pertur- bative series in a boosted coupling, which converges more rapidly than the series with the usual lattice coupling, reducing the uncertainties in our ...
6
ON SIMULTANEOUS APPROXIMATION BY BETA OPERATORS
... For last three decades applications of beta operators in the area of approximation theory is an active area of research. In the present paper, we obtain asymptotic formula for modified beta operators in linear ...
10
Approximation Algorithms for Stochastic Clustering
... provable approximation ratios/guarantees: ...best-known approximation ratio for k-median is ...previous approximation guarantee of 9 + based on local search (Kanungo et ...these approximation ...
33
On simultaneous approximation for some modified Bernstein type operators
... ON SIMULTANEOUS APPROXIMATION FOR SOME MODIFIED BERNSTEIN-TYPE OPERATORS VIJAY GUPTA and NURHAYAT ISPIR Received 25 December 2003.. We study the simultaneous approximation for a certain [r] ...
8