Suchergebnisse - convex functions AND convex (programs OR progress) in convex geometry*

Implementable tensor methods in unconstrained convex optimization von Nesterov, Yurii

“… In this paper we develop new tensor methods for unconstrained convex optimization, which solve at each iteration an auxiliary problem of minimizing convex multivariate polynomial …”
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Dual Prediction-Correction Methods for Linearly Constrained Time-Varying Convex Programs von Simonetto, Andrea

“… Devising efficient algorithms to solve continuously-varying strongly convex optimization programs is key in many applications, from control systems to signal processing and machine learning …”
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Convex projection and convex multi-objective optimization von Kováčová, Gabriela, Rudloff, Birgit

“… In this paper we consider a problem, called convex projection, of projecting a convex set onto a subspace …”
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Convex Optimization for Parameter Synthesis in MDPs von Cubuktepe, Murat, Jansen, Nils, Junges, Sebastian, Katoen, Joost-Pieter, Topcu, Ufuk

“… Consequently, parametric MDPs (pMDPs) extend MDPs with transition probabilities that are functions over unspecified parameters …”
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Chance-constrained programs with convex underlying functions: a bilevel convex optimization perspective von Laguel, Yassine, Malick, Jérôme, van Ackooij, Wim

“… In this paper, we consider chance constrained programs where the objective function and the constraints are convex with respect to the decision parameter …”
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From differential equation solvers to accelerated first-order methods for convex optimization von Luo, Hao, Chen, Long

“… Convergence analysis of accelerated first-order methods for convex optimization problems are developed from the point of view of ordinary differential equation solvers …”
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Convex Primal Formulations for Convex Hull Pricing With Reserve Commitments von 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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Constrained Online Convex Optimization With Feedback Delays von Cao, Xuanyu, Zhang, Junshan, Poor, H. Vincent

“… In this article, we study constrained online convex optimization (OCO) in the presence of feedback delays, where a decision maker chooses sequential actions without knowing the loss functions and constraint functions a priori …”
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Convex Optimization of Integrated Power-Gas Energy Flow Model With Applications to Probabilistic Energy Flow von Jia, Wenhao, Ding, Tao, Huang, Can, Wang, Zekai, Zhou, Quan, Shahidehpour, Mohammad

“… Also, piecewise linearization is adopted to tightly linearize the nonlinear objective function of the model, which transforms the formulated convex optimization into a linear program one …”
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A Convex Optimization Framework for Active Learning von Elhamifar, Ehsan, Sapiro, Guillermo, Yang, Allen, Sasrty, S. Shankar

“… In many image/video/web classification problems, we have access to a large number of unlabeled samples. However, it is typically expensive and time consuming …”
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Distributed Algorithms for Robust Convex Optimization via the Scenario Approach von You, Keyou, Tempo, Roberto, Xie, Pei

“… This paper proposes distributed algorithms to solve robust convex optimization (RCO) when the constraints are affected by nonlinear uncertainty …”
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Globally minimizing the sum of a convex–concave fraction and a convex function based on wave-curve bounds von Xia, Yong, Wang, Longfei, Wang, Xiaohui

“… We consider the problem of minimizing the sum of a convex–concave function and a convex function over a convex set (SFC …”
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Superfast Second-Order Methods for Unconstrained Convex Optimization von 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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A Convex Approach to Data-Driven Optimal Control via Perron-Frobenius and Koopman Operators von Huang, Bowen, Vaidya, Umesh

“… The convex formulation relies on the duality result in the dynamical system's stability theory involving density function and Perron-Frobenius operator …”
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A regularized smoothing method for fully parameterized convex problems with applications to convex and nonconvex two-stage stochastic programming von Borges, Pedro, Sagastizábal, Claudia, Solodov, Mikhail

“… The value function in question, while resulting from parameterized convex problems, need not be convex …”
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Conditional gradient algorithms for norm-regularized smooth convex optimization von Harchaoui, Zaid, Juditsky, Anatoli, Nemirovski, Arkadi

“… ‖ · ‖ and a smooth convex function f , we want either (1) to minimize the norm over the intersection of the cone and a level set of f , or (2 …”
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Semidefinite representation of convex sets von Helton, J. William, Nie, Jiawang

“… Let be a semialgebraic set defined by multivariate polynomials g i ( x ). Assume S is convex, compact and has nonempty interior. Let , and ∂ S (resp …”
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Distributed Coordination for Nonsmooth Convex Optimization via Saddle-Point Dynamics von Cortés, Jorge, Niederländer, Simon K.

“… Our algorithm design builds on the characterization of the solutions of the nonsmooth convex program as saddle points of an augmented Lagrangian …”
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VOFTools 5: An extension to non-convex geometries of calculation tools for volume of fluid methods von López, Joaquín, Hernández, Julio, Gómez, Pablo, Zanzi, Claudio, Zamora, Rosendo

“… We present a major improvement of VOFTools to extend its use to non-convex geometries without the need for costly convex-decomposition techniques …”
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Set characterizations and convex extensions for geometric convex-hull proofs von Bärmann, Andreas, Schneider, Oskar

“… In the present work, we consider Zuckerberg’s method for geometric convex-hull proofs introduced in Zuckerberg (Oper Res Lett 44(5):625–629, 2016 …”
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