Results 41 to 50 of about 8,190 (293)
Penalization via global functionals of optimal-control problems for dissipative evolution
Advances in Mathematical Sciences and Applications, 2019 We consider an optimal control problem for an abstract nonlinear dissipative evolution equation. The differential constraint is penalized by augmenting the target functional by a nonnegative global-in-time functional which is null-minimized in the evolution equation is satisfied.
Lorenzo Portinale, Ulisse Stefanelli
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Shape optimization in contact problems based on penalization of the state inequality [PDF]
Applications of Mathematics, 1986 The paper deals with the frictionless plane contact problem of a linear- elastic sheet resting on a rigid foundation. The shape optimization is carried out in such a manner that the contact boundary curve \(\alpha\) should be the result of the minimization of the total potential energy with respect to \(\alpha\), the contact problem being described by ...
Haslinger, Jaroslav +2 more
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MathematicsIn capture–recapture experiments, the presence of overdispersion and heterogeneity necessitates the use of the negative binomial regression model for inferring population sizes.
Yulu Ji, Yang Liu
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EURASIP Journal on Wireless Communications and Networking, 2020 In this paper, we study the issue of fair resource optimization for an unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) system with multi-carrier non-orthogonal multiple access (MC-NOMA).
Fangcheng Xu +3 more
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An Adaptive Ridge Procedure for L0 Regularization. [PDF]
PLoS ONE, 2016 Penalized selection criteria like AIC or BIC are among the most popular methods for variable selection. Their theoretical properties have been studied intensively and are well understood, but making use of them in case of high-dimensional data is ...
Florian Frommlet, Grégory Nuel
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Sensors, 2023 To accommodate the requirements of extensive coverage and ubiquitous connectivity in 6G communications, satellite plays a more significant role in it. As users and devices explosively grow, new multiple access technologies are called for.
Qingmiao Zhang +3 more
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A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
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Multi-Attribute Graph Estimation With Sparse-Group Non-Convex Penalties
IEEE AccessWe consider the problem of inferring the conditional independence graph (CIG) of high-dimensional Gaussian vectors from multi-attribute data. Most existing methods for graph estimation are based on single-attribute models where one associates a scalar ...
Jitendra K. Tugnait
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Computation of Optimal Transport and Related Hedging Problems via Penalization and Neural Networks [PDF]
Applied Mathematics & Optimization, 2019 This paper presents a widely applicable approach to solving (multi-marginal, martingale) optimal transport and related problems via neural networks. The core idea is to penalize the optimization problem in its dual formulation and reduce it to a finite dimensional one which corresponds to optimizing a neural network with smooth objective function.
Eckstein, Stephan, Kupper, Michael
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On the trajectories of penalization methods for topology optimization [PDF]
, 2001 We consider the discretized zero-one minimum compliance topology optimization problem of elastic continuum structures under multiple load conditions. The binary design variables indicate presence or absence of material in the finite elements.
Svanberg, Krister,
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