Výsledky vyhledávání - Convex functions and convex progress in convex geometry*

Convex Primal Formulations for Convex Hull Pricing With Reserve Commitments Autor Yu, Yanan, Zhang, Tong, Guan, Yongpei, Chen, Yonghong

“…Convex hull pricing has been introduced recently to increase transparency and reduce uplift payments for the U.S. wholesale markets…”
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Superfast Second-Order Methods for Unconstrained Convex Optimization Autor Nesterov, Yurii

“…; Arjevani and Shiff in Math Program 178(1–2):327–360, 2019), which is O k - 7 / 2 . Our progress can be explained by a finer specification of the problem class…”
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Linearization and parallelization schemes for convex mixed-integer nonlinear optimization Autor Sharma, Meenarli, Palkar, Prashant, Mahajan, Ashutosh

“…We develop and test linearization and parallelization schemes for convex mixed-integer nonlinear programming…”
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Convergence analysis of a proximal point algorithm for minimizing differences of functions Autor An, Nguyen Thai, Nam, Nguyen Mau

“… A significant progress to go beyond convexity was made by considering the class of functions representable as differences of convex functions…”
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Fredholm Eigenvalues and Quasiconformal Geometry of Polygons Autor Krushkal, Samuel L.

“… This is important also for the potential theory but has not been solved even for convex polygons. This case has intrinsic interest in view of the connection of polygons with the geometry of the universal…”
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The joy of implications, aka pure Horn formulas: Mainly a survey Autor Wild, Marcel

“… We survey the mathematical theory of implications with an emphasis on the progress made in the last 30 years…”
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The Largest Eigenvalue of a Convex Function, Duality, and a Theorem of Slodkowski Autor Dellatorre, Matthew

“…” of a convex function. In his work on the Dirichlet problem, Slodkowski introduces a generalized second-order derivative which for C 2 functions corresponds to the largest eigenvalue of the Hessian…”
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On the Convergence of a Bayesian Algorithm for Joint Dictionary Learning and Sparse Recovery Autor Joseph, Geethu, Murthy, Chandra R.

“… In this paper, we make progress on this problem by analyzing a Bayesian algorithm for DL. Specifically, we cast the DL problem into the sparse Bayesian learning (SBL…”
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On FISTA with a relative error rule Autor Bello-Cruz, Yunier, Gonçalves, Max L. N., Krislock, Nathan

“…The fast iterative shrinkage/thresholding algorithm (FISTA) is one of the most popular first-order iterations for minimizing the sum of two convex functions…”
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Proximal point algorithms involving fixed points of nonexpansive mappings in CAT(0) spaces Autor Cholamjiak, Prasit, Abdou, Afrah AN, Cho, Yeol Je

“… ) spaces and prove that the sequence generated by our iterative process converges to a minimizer of a convex function and a fixed point of mappings…”
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A non-monotone trust-region method with noisy oracles and additional sampling Autor Krejić, Nataša, Krklec Jerinkić, Nataša, Martínez, Ángeles, Yousefi, Mahsa

“… Depending on the estimated progress of the algorithm, this can yield sample size scenarios ranging from mini-batch to full sample functions…”
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Fast algorithms for maximizing monotone nonsubmodular functions Autor Liu, Bin, Hu, Miaomiao

“…) objective functions, the approximation algorithms for this problem have gotten much progress by using some interesting techniques…”
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Complex hyperbolic orbifolds and hybrid lattices Autor Falbel, Elisha, Pasquinelli, Irene

“…A class of complex hyperbolic lattices in PU (2, 1) called the Deligne-Mostow lattices has been reinterpreted by Hirzebruch (see [ 1 , 10 ] and [ 24 ]) in…”
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An Algebraic Brascamp–Lieb Inequality Autor Duncan, Jennifer

“…–Lieb inequality is defined as a multilinear Lebesgue bound on the product of the pullbacks of a collection of functions f j ∈ L q j ( R n j ) , for j = 1…”
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Improved Weighted Restriction Estimates in R3 Autor Shayya, Bassam

“…Suppose 0 < α ≤ n , H : R n → [ 0 , 1 ] is a Lebesgue measurable function, and A α ( H ) is the infimum of all numbers C for which the…”
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Streaming submodular maximization under d-knapsack constraints Autor Chen, Zihan, Liu, Bin, Du, Hongmin W.

“… Among the known results, most of the submodular functions are defined on set. But recently some progress has been made on the integer lattice…”
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Recent Progress on Integrally Convex Functions Autor Murota, Kazuo, Tamura, Akihisa

“…Integrally convex functions constitute a fundamental function class in discrete convex analysis, including M-convex functions, L-convex functions, and many others…”
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A Distributed Optimization Accelerated Algorithm with Uncoordinated Time-Varying Step-Sizes in an Undirected Network Autor Lü, Yunshan, Xiong, Hailing, Zhou, Hao, Guan, Xin

“…In recent years, significant progress has been made in the field of distributed optimization algorithms…”
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Proximal Methods for Self-Healing and Exact Distributed Convex Optimization Extended abstract Autor Freeman, Randy A.

“…Distributed convex optimization algorithms employ a variety of methods for achieving exact convergence to the global optimal value…”
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A truncated Newton method in an augmented Lagrangian framework for nonlinear programming Autor Di Pillo, Gianni, Liuzzi, Giampaolo, Lucidi, Stefano, Palagi, Laura

“… The local algorithm is globalized by means of a suitable merit function which is able to measure and to enforce progress of the iterates towards a KKT pair, without deteriorating the local efficiency…”
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