Results 51 to 60 of about 452,561 (173)
RUDN Journal of Engineering Research, 2021 The spatial stabilization system synthesis problem of the robot is considered. The historical overview of methods and approaches for solving the problem of control synthesis is given.
Askhat I. Diveev +1 more
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Numerical Methods for Mathematical Programs with Disjunctive Constraints
, 2016 Motiviert durch steigendes Interesse an mathematischen Programmen mit komplementaren Nebenbedingungen (en. MPCCs) und mathematischen Programmen mit verschwindenden Nebenbedingungen (en. MPVCs) beschaftigen wir uns in dieser Arbeit mit einer Verallgemeinerung dieser Programme - sogenannte mathematische Programme mit disjunktiven Nebenbedingungen (en ...
openaire +2 more sources
Optimal designs for rational function regression
, 2011 We consider optimal non-sequential designs for a large class of (linear and nonlinear) regression models involving polynomials and rational functions with heteroscedastic noise also given by a polynomial or rational weight function.
A. Dembo +92 more
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Economic optimization and evolutionary programming when using remote sensing data
ITM Web of Conferences, 2018 The article considers the issues of optimizing the use of remote sensing data. Built a mathematical model to describe the economic effect of the use of remote sensing data. It is shown that this model is incorrect optimisation task.
Shamin Roman +3 more
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Modified Interior-Point Method for Large-and-Sparse Low-Rank Semidefinite Programs
, 2017 Semidefinite programs (SDPs) are powerful theoretical tools that have been studied for over two decades, but their practical use remains limited due to computational difficulties in solving large-scale, realistic-sized problems.
Lavaei, Javad, Zhang, Richard Y.
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A Novel Euler's Elastica based Segmentation Approach for Noisy Images via using the Progressive Hedging Algorithm [PDF]
, 2019 Euler's Elastica based unsupervised segmentation models have strong capability of completing the missing boundaries for existing objects in a clean image, but they are not working well for noisy images.
Li, Ling +4 more
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On Solving Stochastic Optimization Problems
Mathematics, 2023 Many optimization mathematical models, associated with the technical-economic processes of real-world problems, have elements of uncertainty in their structure, which places them in stochastic optimization programming. Their diversity and complexity, due
Ovidiu Blăjină, Ionuţ Gabriel Ghionea
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Nonparametric Infinite Horizon Kullback-Leibler Stochastic Control [PDF]
, 2016 We present two nonparametric approaches to Kullback-Leibler (KL) control, or linearly-solvable Markov decision problem (LMDP) based on Gaussian processes (GP) and Nystr\"{o}m approximation.
Pan, Yunpeng, Theodorou, Evangelos
core
Number of paths versus number of basis functions in American option pricing
, 2003 An American option grants the holder the right to select the time at which to exercise the option, so pricing an American option entails solving an optimal stopping problem.
Glasserman, Paul, Yu, Bin
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Optimal control problem and its solution by grey wolf optimizer algorithm
RUDN Journal of Engineering Research, 2018 The paper is devoted to a numerical method for solving the optimal control problem. The main approach to the numerical solution of the optimal control problem is the reduction of the optimal control problem to the problem of nonlinear programming and its
Askhat I Diveev, Sergey V Konstantinov
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