Results 31 to 40 of about 212,839 (166)
On a Stochastic Approximation Method [PDF]
The Annals of Mathematical Statistics, 1954 Asymptotic properties are established for the Robbins-Monro [1] procedure of stochastically solving the equation $M(x) = \alpha$. Two disjoint cases are treated in detail. The first may be called the "bounded" case, in which the assumptions we make are similar to those in the second case of Robbins and Monro. The second may be called the "quasi-linear"
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Refining the Eel and Grouper Optimizer with Intelligent Modifications for Global Optimization
ComputationGlobal optimization is used in many practical and scientific problems. For this reason, various computational techniques have been developed. Particularly important are the evolutionary techniques, which simulate natural phenomena with the aim of ...
Glykeria Kyrou +2 more
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Analysis of Drought, Wetness Year and Forecasting of Climate Parameters, Precipitation and Temperature Using Stochastic Methods in Shiraz City [PDF]
نشریه جغرافیا و برنامهریزی, 2012 Stochastic models have been used as one technique to generate scenarios of future climate change. Temperature and precipitation are among the main indicators in climate study. The purposes of this study is analysis of the status of climatic parameters of
Hossein Babazadeh +4 more
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Stochastic Runge–Kutta methods for multi-dimensional Itô stochastic differential algebraic equations
Results in Applied Mathematics, 2021 In this paper, we discuss the numerical solutions to index 1 stochastic differential algebraic equations. We introduce a new class of weak second-order stochastic Runge–Kutta methods for finding the numerical approximate solutions to multi-dimensional ...
Priya Nair, Anandaraman Rathinasamy
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Continuous stage stochastic Runge–Kutta methods
Advances in Difference Equations, 2021 In this work, a version of continuous stage stochastic Runge–Kutta (CSSRK) methods is developed for stochastic differential equations (SDEs). First, a general order theory of these methods is established by the theory of stochastic B-series and ...
Xuan Xin, Wendi Qin, Xiaohua Ding
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Stochastic approximation methods [PDF]
Czechoslovak Mathematical Journal, 1960 The methods are concerned with the problem of approximating a point of the q-dimensional Euclidian space at which a function f acquires its minimum or maximum or at which f is equal to a predetermined number. These methods are used to determine optimum conditions for concrete chemical and physical processes.
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Improving the Giant-Armadillo Optimization Method
AnalyticsGlobal optimization is widely adopted presently in a variety of practical and scientific problems. In this context, a group of widely used techniques are evolutionary techniques.
Glykeria Kyrou +2 more
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THE ECONOMETRICS OF THE FORECASTING OF FINANCIAL RESOURCES, A MAIN COMPONENT OF THE FINANCIAL MANAGEMENT [PDF]
Annals of the University of Oradea: Economic Science, 2009 The paper intends to emphasise the importance of budget resources forecasting for long periods of time, within thefinancial management. An as accurate as possible forecasting of the volume of financial resources will represent the basis forthe future ...
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Using Optimization Techniques in Grammatical Evolution
Future InternetThe Grammatical Evolution technique has been successfully applied to a wide range of problems in various scientific fields. However, in many cases, techniques that make use of Grammatical Evolution become trapped in local minima of the objective problem ...
Ioannis G. Tsoulos +2 more
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Yağışın mekânsal dağılışında deterministik ve stokastik yöntemler: Mauritius örneği, Doğu Afrika
Coğrafi Bilimler Dergisi, 2016 Precipitation is one of the most important climatic parameters displaying significant changes across space and time. The accurate modeling of precipitation has become an important part of climate research for hydrological studies, the forecast of events ...
Olgu Aydın, Nussaïbah Begum Raja
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