Results 41 to 50 of about 442,995 (188)
Smoothing Approximation to the Square-Order Exact Penalty Functions for Constrained Optimization
Journal of Applied Mathematics, 2013 A method is proposed to smooth the square-order exact penalty function for inequality constrained optimization. It is shown that, under some conditions, an approximately optimal solution of the original problem can be obtained by searching an ...
Shujun Lian, Jinli Han
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A novel two-point gradient method for Regularization of inverse problems in Banach spaces
, 2021 In this paper, we introduce a novel two-point gradient method for solving the ill-posed problems in Banach spaces and study its convergence analysis. The method is based on the well known iteratively regularized Landweber iteration method together with ...
Giri, Ankik Kumar, Mittal, Gaurav
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Group Lasso estimation of high-dimensional covariance matrices [PDF]
, 2010 In this paper, we consider the Group Lasso estimator of the covariance matrix of a stochastic process corrupted by an additive noise. We propose to estimate the covariance matrix in a high-dimensional setting under the assumption that the process has a ...
Alvarez, Lilian Muniz +3 more
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Variable Selection and Parameter Estimation with the Atan Regularization Method
Journal of Probability and Statistics, 2016 Variable selection is fundamental to high-dimensional statistical modeling. Many variable selection techniques may be implemented by penalized least squares using various penalty functions.
Yanxin Wang, Li Zhu
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Conflict Relaxation of Activation-Based Regularization for Neural Network
IEEE Access, 2018 Neural networks often penalize their loss functions by a regularization or constraint term dependent on training data. These penalty terms are defined on activation values of hidden vectors and reduced with a loss in the training process.
Kangil Kim +3 more
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Design of Optimal Sparse Feedback Gains via the Alternating Direction Method of Multipliers
, 2013 We design sparse and block sparse feedback gains that minimize the variance amplification (i.e., the $H_2$ norm) of distributed systems. Our approach consists of two steps.
Fardad, Makan +2 more
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OPERATIVE CORRECTION OF ARRIVAL AND DEPARTURE FLOW OF AEIRCRAFT AT THE AERODROME
Научный вестник МГТУ ГА, 2016 The problem of optimal correction of the scheduled time of take-off and landing aircraft using a single runway (RW), in conditions of high air traffic intensity at which the probability of a conflict between the takeoff and landing reaches a critical ...
G. N. Lebedev, V. B. Malygin
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INSTYTUCJA MEDIACJI KARNEJ W PRAWIE POLSKIM
Zeszyty Prawnicze, 2016 THE INSTITUTION OF PENALTY MEDIATION IN POLISH LAW Summary The institution of penalty mediation is underestimated form of resolving disputes. Mediation is a agreement between parties in the presence of mediator. This article presents main functions of
Karol Pachnik
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Frontiers in Earth Science, 2023 The Shuffled Complex Evolution—University of Arizona (SCE-UA) is a classical algorithm in the field of hydrology and water resources, but it cannot solve constrained optimization problems directly. Using penalty functions has been the preferred method to
Chenkai Jiang +3 more
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Multiportfolio time consistency for set-valued convex and coherent risk measures
, 2014 Equivalent characterizations of multiportfolio time consistency are deduced for closed convex and coherent set-valued risk measures on $L^p(\Omega,\mathcal F, P; R^d)$ with image space in the power set of $L^p(\Omega,\mathcal F_t,P;R^d)$.
Feinstein, Zachary, Rudloff, Birgit
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