Results 21 to 30 of about 273,786 (182)
Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed l1/l2 Regularization [PDF]
, 2014 The l1/l2 ratio regularization function has shown good performance for retrieving sparse signals in a number of recent works, in the context of blind deconvolution. Indeed, it benefits from a scale invariance property much desirable in the blind context.
Chouzenoux, Emilie +4 more
core +3 more sources
A penalty barrier framework for nonconvex constrained optimization [PDF]
Journal of Nonsmooth Analysis and OptimizationWe consider minimization problems with structured objective function and smooth constraints, and present a flexible framework that combines the beneficial regularization effects of (exact) penalty and interior-point methods.
Alberto De Marchi, Andreas Themelis
doaj +1 more source
Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded [PDF]
, 2019 Decision trees usefully represent sparse, high dimensional and noisy data. Having learned a function from this data, we may want to thereafter integrate the function into a larger decision-making problem, e.g., for picking the best chemical process ...
Krennrich, Gerhard +4 more
core +2 more sources
Smooth exact penalty functions: a general approach [PDF]
Optimization Letters, 2015 This is a slightly edited post-peer-review, pre-copyedit version of an article published by Springer in Optimization Letters.
openaire +2 more sources
Mathematics, 2020 In this paper, we consider the single machine scheduling problem with release dates and nonmonotone submodular rejection penalty. We are given a single machine and multiple jobs with probably different release dates and processing times. For each job, it
Xiaofei Liu, Weidong Li
doaj +1 more source
Finite elements for problems of the elasticity theory with the discontinuous stress approximation [PDF]
E3S Web of Conferences, 2020 The paper deals with the development of the finite element models on the basis of stress approximation. At present, the displacementbased finite element method is mainly used for engineering calculations.
Lukashevich A, Lukashevich N, Kobelev E
doaj +1 more source
Using neural networks to improve simulations in the gray zone [PDF]
Nonlinear Processes in Geophysics, 2022 Machine learning represents a potential method to cope with the gray zone problem of representing motions in dynamical systems on scales comparable to the model resolution.
R. Kriegmair +3 more
doaj +1 more source
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
doaj +1 more source
Mathematics, 2022 Given several nonnegative matrices with a single pattern of allocation among their zero/nonzero elements, the average matrix should have the same pattern as well.
Vladimir Yu. Protasov +2 more
doaj +1 more source
A family of global convergent inexact secant methods for nonconvex constrained optimization
Journal of Algorithms & Computational Technology, 2018 We present a family of new inexact secant methods in association with Armijo line search technique for solving nonconvex constrained optimization. Different from the existing inexact secant methods, the algorithms proposed in this paper need not compute ...
Zhujun Wang, Li Cai, Zheng Peng
doaj +1 more source