Results 21 to 30 of about 3,277,431 (296)
On boundary stimulation and optimal boundary control of the bidomain equations [PDF]
Mathematical Biosciences, 2013 The bidomain equations with Neumann boundary stimulation and optimal control of these stimuli are investigated. First an analytical framework for boundary control is provided. Then a parallel finite element based algorithm is devised and its efficiency is demonstrated not only for the direct problem but also for the optimal control problem.
Chamakuri, Nagaiah +2 more
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Energies, 2021 This study proposes a calculation methodology that determines the optimal boundary parameters of the single-diode photovoltaic model. It allows the calculation of the single-diode photovoltaic model when no reference parameter boundaries are available ...
Carlos Cárdenas-Bravo +4 more
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Boundary Learning by Optimization with Topological Constraints [PDF]
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010 Recent studies have shown that machine learning can improve the accuracy of detecting object boundaries in images. In the standard approach, a boundary detector is trained by minimizing its pixel-level disagreement with human boundary tracings. This naive metric is problematic because it is overly sensitive to boundary locations. This problem is solved
Viren Jain +16 more
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Callable Russian Options and Their Optimal Boundaries [PDF]
Journal of Applied Mathematics and Decision Sciences, 2009 We deal with the pricing of callable Russian options. A callable Russian option is a contract in which both of the seller and the buyer have the rights to cancel and to exercise at any time, respectively. The pricing of such an option can be formulated as an optimal stopping problem between the seller and the buyer, and is analyzed as Dynkin game.
Atsuo Suzuki, Katsushige Sawaki
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Boundary conditions optimal control [PDF]
The Journal of the Australian Mathematical Society. Series B. Applied Mathematics, 1989 AbstractA simple rigorous approach is given to finding boundary conditions for the adjoint differential equation in an optimal control problem. The boundary conditions for a time-optimal problem are calculated from the simpler conditions for a fixed-time problem.
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Boundary Optimizing Network (BON)
CoRR, 2018 Despite all the success that deep neural networks have seen in classifying certain datasets, the challenge of finding optimal solutions that generalize still remains. In this paper, we propose the Boundary Optimizing Network (BON), a new approach to generalization for deep neural networks when used for supervised learning.
Marco Singh, Akshay Pai
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Boundary detection by constrained optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990 A statistical framework is used for finding boundaries and for partitioning scenes into homogeneous regions. The model is a joint probability distribution for the array of pixel gray levels and an array of labels. In boundary finding, the labels are binary, zero, or one, representing the absence or presence of boundary elements.
Donald Geman +3 more
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The American straddle close to expiry
Boundary Value Problems, 2006 We address the pricing of American straddle options. We use a technique due to Kim (1990) to derive an expression involving integrals for the price of such an option close to expiry.
Mallier Roland, Alobaidi Ghada
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Asymptotically Optimal Multistage Hypothesis Tests [PDF]
, 2004 This thesis investigates variable stage size multistage hypothesis testing in three different contexts, each building on the previous. We first consider the problem of sampling a random process in stages until it crosses a predetermined boundary at ...
Bartroff, Jay L.
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Determination of the Optimal Stratum Boundaries in the Monthly Retail Trade Survey in the Croatian Bureau of Statistics [PDF]
Revista Română de Statistică, 2017 This paper aims to compare the current sample design of the Monthly Retail Trade Survey in the SAS environment and the sample design with generalized Lavallee-Hidiroglou method of strata construction in the R environment.
Ivana Jurina, Lidija Gligorova
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