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Wyszukujesz frazę "stochastic approximation" wg kryterium: Temat


Wyświetlanie 1-12 z 12
Tytuł:
Stochastic approximation. I. Optimization methods without constraints
Autorzy:
Koronacki, Jacek
Powiązania:
https://bibliotekanauki.pl/articles/747471.pdf
Data publikacji:
1977
Wydawca:
Polskie Towarzystwo Matematyczne
Tematy:
Stochastic approximation,Sequential methods,Statistics
Opis:
.
This is a critical review of recent results in stochastic approximation methods for optimization problems. Part I deals with unconstrained optimization, with special emphasis on the problem of choice of the direction and the length of iteration steps.
Źródło:
Mathematica Applicanda; 1977, 5, 11
1730-2668
2299-4009
Pojawia się w:
Mathematica Applicanda
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Stochastic approximation. II. Optimization methods with constraints
Autorzy:
Koronacki, Jacek
Powiązania:
https://bibliotekanauki.pl/articles/747475.pdf
Data publikacji:
1977
Wydawca:
Polskie Towarzystwo Matematyczne
Tematy:
Stochastic approximation,Sequential methods,Statistics
Opis:
.
This is a critical review of recent results in stochastic approximation methods for optimization problems. Part II deals with constrained optimization; here, the stochastic variants of the penalty function method, the method of feasible directions and the method of Lagrange functions are discussed.
Źródło:
Mathematica Applicanda; 1977, 5, 11
1730-2668
2299-4009
Pojawia się w:
Mathematica Applicanda
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Large and moderate deviation principles for nonparametric recursive kernel distribution estimators defined by stochastic approximation method
Autorzy:
Slaoui, Yousri
Powiązania:
https://bibliotekanauki.pl/articles/254712.pdf
Data publikacji:
2019
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
distribution estimation
stochastic approximation algorithm large and moderate deviations principles
Opis:
In this paper we prove large and moderate deviations principles for the recursive kernel estimators of a distribution function defined by the stochastic approximation algorithm. We show that the estimator constructed using the stepsize which minimize the Mean Integrated Squared Error (MISE) of the class of the recursive estimators defined by Mokkadem et al. gives the same pointwise large deviations principle (LDP) and moderate deviations principle (MDP) as the Nadaraya kernel distribution estimator.
Źródło:
Opuscula Mathematica; 2019, 39, 5; 733-746
1232-9274
2300-6919
Pojawia się w:
Opuscula Mathematica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Decision-making under risk and “statistical thinking” in the 20th century (selected models and persons)
Autorzy:
Rybicki, Wojciech
Powiązania:
https://bibliotekanauki.pl/articles/584930.pdf
Data publikacji:
2018
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
statistics
risk
subjective probability
objective probability
frequentists
sequential analysis
stochastic approximation
stochastic game
empirical Bayes approach
Opis:
The paper is the second part of the series of articles surveying chosen models of decision-making under “risky circumstances”. The first segment concerned the earlier period of development of so-called “statistical thinking” (up to the times of J. Neyman and E. Pearson) and has been published elsewhere. These “twins” of papers as a whole, are intended as essays (consciously avoiding any formalization) to introduce the subsequent parts of the cycle – conducted in a more formal style. Several problems were discussed in the first part of the series. The leitmotifs, i.e. Bayesian vs. “orthodox” approaches, and the subjective vs. objective probability meaning are continued in this article, and developed towards the “modern needs and directions”. The role of some outstanding scientists is stressed. The possibility of the unification of the different philosophies on the grounds of statistical decision theory (thanks to A. Wald and L.J. Savage) is noted. “Dynamic” or multistage statistical decision procedures will be also indicated (in contrast to “static, “one-shot” problems). The primary role in developing these ideas played by mathematicians A. Wald, L. Shapley, R. Bellman, D. Blackwell and H. Robbins (plus many others) is stressed. The outline is conducted in a “historical perspective” beginning with F. Ramsey’s work and finishing at H. Robbins achievements – as being very influential in the further development of the stochastic methodology. The list of models, to be discussed in the subsequent (“formal-mode”) article/s, is added at the end of the paper. The central role in the notes is played by the “procession” of the prominent representatives of the field. The first “series” of them was presented in the previous part of the cycle. The subsequent (nine) are placed here. These scientists built the milestones of statistical science, “created its spirit,” exquisitely embedding the subject in the “general stochastic world”. The presentation is supplemented with their portraits. The author hopes that some keystones determining the line-up can be recognized in the course of reading. It is not possible to talk about mathematics without mathematics (formulas, calculations, formal reasoning). On the other hand − such beings as probability, uncertainty, risk can be, first of all, regarded as philosophic and logic in their heart of hearts (as well as being somewhat “mysterious”). So, it can turn out illuminating (sometimes) to reveal and to show merely the ideas and “their” heroes (even at the expense of losing the precision!). The role of the bibliography should also be stressed – it is purposely made so large, and significantly completes the presentation.
Źródło:
Mathematical Economics; 2018, 14(21); 71-94
1733-9707
Pojawia się w:
Mathematical Economics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Recursive self-tuning control of finite Markov chains
Autorzy:
Borkar, Vivek
Powiązania:
https://bibliotekanauki.pl/articles/1339274.pdf
Data publikacji:
1997
Wydawca:
Polska Akademia Nauk. Instytut Matematyczny PAN
Tematy:
controlled Markov chains
stochastic approximation
relative value iteration
self-tuning control
adaptive control
Opis:
A recursive self-tuning control scheme for finite Markov chains is proposed wherein the unknown parameter is estimated by a stochastic approximation scheme for maximizing the log-likelihood function and the control is obtained via a relative value iteration algorithm. The analysis uses the asymptotic o.d.e.s associated with these.
Źródło:
Applicationes Mathematicae; 1996-1997, 24, 2; 169-188
1233-7234
Pojawia się w:
Applicationes Mathematicae
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Remarks on Statistical Design Centering
Autorzy:
Opalski, L. J.
Powiązania:
https://bibliotekanauki.pl/articles/226467.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
statistical design centering
design yield
realistic worst-case design
stochastic approximation
propagation of variance
Monte Carlo simulation
Opis:
The paper overviews optimization based statistical design centering techniques for analog circuits. Emphasis is placed on dependence between formulation of quality indices, problem formulation, and computational complexity of design centering algorithms, executed in single- or multiple-processor environments. For characterization of solution techniques a standard CMOS op-amp design case and a simplified computational complexity analysis are used.
Źródło:
International Journal of Electronics and Telecommunications; 2011, 57, 2; 159-167
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The limit properties diffusion process in a semi-Markov environment
Autorzy:
Chabanyuk, Y.
Rosa, W.
Powiązania:
https://bibliotekanauki.pl/articles/122295.pdf
Data publikacji:
2018
Wydawca:
Politechnika Częstochowska. Wydawnictwo Politechniki Częstochowskiej
Tematy:
stochastic approximation procedure
compensating operator
asymptotic normality of the stochastic procedure
small parameter
martingale characterization
Markov processes
semi-Markov processes
aproksymacja stochastyczna
procedura stochastyczna
proces Markova
proces semi-Markova
stochastyczny proces dyfuzji
Opis:
In this paper we consider the stochastic diffusion process with semi-Markov switchings in an averaging scheme. We present results and conditions on convergence to the classic diffusion process, in case with semi-Markov process perturbation is uniformly ergodic. We used small parameter scheme to get the main result.
Źródło:
Journal of Applied Mathematics and Computational Mechanics; 2018, 17, 1; 5-14
2299-9965
Pojawia się w:
Journal of Applied Mathematics and Computational Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ryszard Zieliński’s contribution to statistical optimization and fixed-precision estimation
Autorzy:
Męczarski, Marek
Powiązania:
https://bibliotekanauki.pl/articles/747417.pdf
Data publikacji:
2012
Wydawca:
Polskie Towarzystwo Matematyczne
Tematy:
stochastic approximation, Kiefer-Wolfowitz procedure, gradient estimation, response surface analysis, simplex design, confidence set, stopping rule, fixed-precision estimation
aproksymacja stochastyczna, procedura Kiefera\--Wol\-fowitza, estymacja gradientu, analiza powierzchni odpowiedzi, plan sympleksowy, zbiór ufności, reguła zatrzymania, estymacja stałoprecyzyjna
Opis:
W tej części opisane będą wyniki Profesora Ryszarda Zielińskiego w dziedzinie klasycznej aproksymacji stochastycznej, analizy powierzchni odpowiedzi oraz konstrukcji zbiorów ufności o zadanej precyzji.
Professor Ryszard Zieliński's results in stochastic approximation, extremal experimental design in the framework of response surface analysis and fixed-precision set estimation are outlined. First, he proposed a randomized version of Fabian's (1967) gradient estimate in the Kiefer-Wolfowitz procedure, which reduced the number of required observations and improved the rate of convergence. Second, when considering response surface analysis and experimental designs for the gradient estimation, he constructed a randomized simplex design which resulted in the unbiased estimator. Third, he gave a method to construct confidence sets with prescribed accuracy (i. e. the width and the confidence level) by sampling independent copies of a process of interest. Professor Ryszard Zieliński's results in stochastic approximation, extremal experimental design in the framework of response surface analysis and fixed precision set estimation are outlined. First, he proposed a randomized version of Fabian's (1967) gradient estimate in the Kiefer-Wolfowitz procedure, which reduced the number of required observations and improved the rate of convergence. Second, when considering response surface analysis and experimental designs for the gradient estimation, he constructed a randomized simplex design which resulted in the unbiased estimator. Third, he gave a method to construct confidence sets with prescribedaccuracy (i. e. the width and the confidence level) by sampling independent copiesof a process of interest.
Źródło:
Mathematica Applicanda; 2012, 40, 2
1730-2668
2299-4009
Pojawia się w:
Mathematica Applicanda
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
New characterizations of reproducing kernel Hilbert spaces and applications to metric geometry
Autorzy:
Alpay, Daniel
Jorgensen, Palle E.T.
Powiązania:
https://bibliotekanauki.pl/articles/2051893.pdf
Data publikacji:
2021
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
reproducing kernel
positive definite functions
approximation
algorithms
measures
stochastic processes
Opis:
We give two new global and algorithmic constructions of the reproducing kernel Hilbert space associated to a positive definite kernel. We further present a general positive definite kernel setting using bilinear forms, and we provide new examples. Our results cover the case of measurable positive definite kernels, and we give applications to both stochastic analysis and metric geometry and provide a number of examples.
Źródło:
Opuscula Mathematica; 2021, 41, 3; 283-300
1232-9274
2300-6919
Pojawia się w:
Opuscula Mathematica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A two-stage stochastic programming approach for production planning system with seasonal demand
Autorzy:
Mahmoud, Asmaa A.
Aly, Mohamed F.
Mohib, Ahmed M.
Afefy, Islam H.
Powiązania:
https://bibliotekanauki.pl/articles/952860.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
process manufacturing system
two-stage stochastic programming
sampling average approximation
Opis:
Seasonality is a function of a time series in which the data experiences regular and predictable changes that repeat each calendar year. Two-stage stochastic programming model for real industrial systems at the case of a seasonal demand is presented. Sampling average approximation (SAA) method was applied to solve a stochastic model which gave a productive structure for distinguishing and statistically testing a different production plan. Lingo tool is developed to obtain the optimal solution for the proposed model which is validated by Math works Matlab. The actual data of the industrial system; from the General Manufacturing Company, was applied to examine the proposed model. Seasonal future demand is then estimated using the multiplicative seasonal method, the effect of seasonality was presented and discussed. One might say that the proposed model is viewed as a moderately accurate tool for industrial systems in case of seasonal demand. The current research may be considered a significant tool in case of seasonal demand. To illustrate the applicability of the proposed model a numerical example is solved using the proposed technique. ANOVA analysis is applied using MINITAB 17 statistical software to validate the obtained results.
Źródło:
Management and Production Engineering Review; 2020, 11, 1; 31--42
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Coloured-noise-induced transitions in nonlinear structures
Autorzy:
Mankin, R.
Laas, T.
Soika, E.
Sauga, A.
Rekker, A.
Ainsaar, A.
Ugaste, U.
Powiązania:
https://bibliotekanauki.pl/articles/147752.pdf
Data publikacji:
2008
Wydawca:
Instytut Chemii i Techniki Jądrowej
Tematy:
non-equilibrium fluctuations
coloured-noise-induced transitions
mean-field approximation
Hopf bifurcation
stochastic Lotka-Volterra system
Opis:
In a stochastic framework, macroscopic approaches are sought to describe microscopic interaction between different species. Coloured-noise-induced transitions in stochastic N-species Lotka-Volterra systems are considered analytically as an appropriate model extendable to many natural and nano-technological processes. All the results discussed are computed by means of a dynamical mean-field approximation. It is demonstrated that interplay of coloured noise and interaction intensities of species can generate a variety of cooperation effects, such as discontinuous transitions of the mean population density, noise-induced Hopf bifurcations and relaxation oscillation. The necessary conditions for the cooperation effects are also discussed. Particularly, it is established that, in the case of the Beddington functional response, in certain parameter regions of the model an increase in noise correlation time can cause multiple transitions (more than two) between relaxation oscillatory regimes and equilibrium states.
Źródło:
Nukleonika; 2008, 53, 3; 127-134
0029-5922
1508-5791
Pojawia się w:
Nukleonika
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Selected multicriteria shortest path problems: An analysis of complexity, models and adaptation of standard algorithms
Autorzy:
Tarapata, Z.
Powiązania:
https://bibliotekanauki.pl/articles/929638.pdf
Data publikacji:
2007
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
problem najkrótszej ścieżki
złożoność algorytmu
algorytm aproksymacji
multiobjective shortest path
stochastic shortest path
algorithm complexity
routing problem
terrain-based modeling
approximation algorithm
Opis:
The paper presents selected multicriteria (multiobjective) approaches to shortest path problems. A classification of multiobjective shortest path (MOSP) problems is given. Different models of MOSP problems are discussed in detail. Methods of solving the formulated optimization problems are presented. An analysis of the complexity of the presented methods and ways of adapting of classical algorithms for solving multiobjective shortest path problems are described. A comparison of the effectiveness of solving selected MOSP problems defined as mathematical programming problems (using the CPLEX 7.0 solver) and multi-weighted graph problems (using modified Dijkstra’s algorithm) is given. Experimental results of using the presented methods for multicriteria path selection in a terrain-based grid network are given.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2007, 17, 2; 269-287
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-12 z 12

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