Results 41 to 50 of about 212,839 (166)
IET Microwaves, Antennas & Propagation, 2023 A stochastic contour path finite‐difference time‐domain (S‐CP‐FDTD) algorithm is presented for electromagnetic wave propagation in metallic enclosures with uncertain slot size. The correlation coefficient between the field and size of slot was set to one.
Xutong Wang +6 more
doaj +1 more source
Stochastic average model methods
Computational Optimization and ApplicationsWe consider the solution of finite-sum minimization problems, such as those appearing in nonlinear least-squares or general empirical risk minimization problems. We are motivated by problems in which the summand functions are computationally expensive and evaluating all summands on every iteration of an optimization method may be undesirable.
Matt Menickelly, Stefan M. Wild
openaire +4 more sources
Applying Bounding Techniques on Grammatical Evolution
ComputersThe Grammatical Evolution technique has been successfully applied to some datasets from various scientific fields. However, in Grammatical Evolution, the chromosomes can be initialized at wide value intervals, which can lead to a decrease in the ...
Ioannis G. Tsoulos +2 more
doaj +1 more source
Multidimensional Stochastic Approximation Methods
The Annals of Mathematical Statistics, 1954 Multidimensional stochastic approximation schemes are presented, and conditions are given for these schemes to converge a.s. (almost surely) to the solutions of $k$ stochastic equations in $k$ unknowns and to the point where a regression function in $k$ variables achieves its maximum.
openaire +3 more sources
Semi-Stochastic Gradient Descent Methods
Frontiers in Applied Mathematics and Statistics, 2017 In this paper we study the problem of minimizing the average of a large number of smooth convex loss functions. We propose a new method, S2GD (Semi-Stochastic Gradient Descent), which runs for one or several epochs in each of which a single full gradient
Jakub Konečný, Peter Richtárik
doaj +1 more source
Stochastic Smoothing Methods for Nonsmooth Global Optimization
Кібернетика та комп'ютерні технології, 2020 . The paper presents the results of testing the stochastic smoothing method for global optimization of a multiextremal function in a convex feasible subset of Euclidean space.
V.I. Norkin
doaj +1 more source
Stochastic simulation in systems biology
Computational and Structural Biotechnology Journal, 2014 Natural systems are, almost by definition, heterogeneous: this can be either a boon or an obstacle to be overcome, depending on the situation. Traditionally, when constructing mathematical models of these systems, heterogeneity has typically been ignored,
Tamás Székely Jr., Kevin Burrage
doaj +1 more source
ActuatorsHexaglide parallel manipulators are characterized by high accuracy and dynamic performance, which makes them suitable for industrial high-precision assembly tasks such as placement of electronic THT components on printed circuit boards.
Mikhail Polikarpov +2 more
doaj +1 more source
Avances en Ciencias e Ingeniería, 2022 In this study, a stochastic method and an object function are proposed that allow extending the applicability of the SOLVER program to problems in the area of ionic multiequilibrio (and also in other similar problems), allowing to maximize the use of ...
Ivan Machin +2 more
doaj
Introducing an Evolutionary Method to Create the Bounds of Artificial Neural Networks
FoundationsArtificial neural networks are widely used in applications from various scientific fields and in a multitude of practical applications. In recent years, a multitude of scientific publications have been presented on the effective training of their ...
Ioannis G. Tsoulos +2 more
doaj +1 more source