Výsledky vyhledávání - "Calculus of Variations and Optimal Control; Optimization."

Isoperimetric inequalities in unbounded convex bodies Autor Leonardi, Gian Paolo, Ritoré, Manuel, Vernadakis, Efstratios

“…We consider the problem of minimizing the relative perimeter under a volume constraint in an unbounded convex body…”
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Nonlinear Diffusion Equations and Curvature Conditions in Metric Measure Spaces Autor Ambrosio, Luigi, Mondino, Andrea, Savaré, Giuseppe

“…The aim of this paper is to provide new characterizations of the curvature dimension condition in the context of metric measure spaces…”
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Asymptotic Spreading for General Heterogeneous Fisher-KPP Type Equations Autor Berestycki, Henri, Nadin, Grégoire

“…In this monograph, we review the theory and establish new and general results regarding spreading properties for heterogeneous reaction-diffusion equations:…”
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Dedication Autor Pontani, Mauro, Speyer, Jason L.

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Concrete under fire: an assessment through intelligent pattern recognition Autor Naser, M. Z., Seitllari, A.

“…Concrete, a naturally resilient material, often undergoes a series of physio-chemical degradations once exposed to extreme environments (e.g., elevated…”
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Advances in inverse problems for partial differential equations : AMS Special Session Recent Developments on Analysis and Computation for Inverse Problems for PDEs, March 13-14, 2021, virtual, AMS Special Session Recent Advances in Inverse Problems for PDEs, October 23-23 [i.e. 24], 2021, virtual Autor Nguyen, Dinh-Liem, Nguyen, Loc Hoang, Nguyen, Thi-Phong, AMS Special Session on Recent Developments on Analysis and Computation for Inverse Problems for PDEs, AMS Special Session on Recent Advances in Inverse Problems for PDEs

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Tempered representations for classical p-adic groups Autor Jantzen, Chris

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Geometric Approach to Pontryagin’s Maximum Principle Autor Barbero-Liñán, M., Muñoz-Lecanda, M. C.

“…Since the second half of the 20th century, Pontryagin’s Maximum Principle has been widely discussed and used as a method to solve optimal control problems in…”
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Sand Cat swarm optimization: a nature-inspired algorithm to solve global optimization problems Autor Seyyedabbasi, Amir, Kiani, Farzad

“…This study proposes a new metaheuristic algorithm called sand cat swarm optimization (SCSO) which mimics the sand cat behavior that tries to survive in nature…”
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Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations Autor Mohajerin Esfahani, Peyman, Kuhn, Daniel

“…We consider stochastic programs where the distribution of the uncertain parameters is only observable through a finite training dataset. Using the Wasserstein…”
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Regularity for general functionals with double phase Autor Baroni, Paolo, Colombo, Maria, Mingione, Giuseppe

“…We prove sharp regularity results for a general class of functionals of the type w ↦ ∫ F ( x , w , D w ) d x , featuring non-standard growth conditions and…”
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Harmonic maps and differential geometry : a harmonic map fest in honour of John C. Wood's 60th birthday, September 7-10, 2009, Cagliari, Italy Autor Loubeau, E. (Eric), Montaldo, S. (Stefano), Wood, John C.

“…This volume contains the proceedings of a conference held in Cagliari, Italy, from September 7-10, 2009, to celebrate John C. Wood's 60th birthday. These…”
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Nonlinear elliptic partial differential equations : Workshop in celebration of Jean-Pierre Gossez's 65th birthday, September 2-4, 2009, Université libre de Bruxelles, Belgium Autor Workshop in Nonlinear Elliptic Partial Differential Equations, Bonheure, Denis, Cuesta, Mabel, Dozo, Enrique J. Lami, Takáč, Peter, Van Schaftingen, Jean, Willem, Michel, Gossez, J. P.

“…This volume contains papers on semi-linear and quasi-linear elliptic equations from the worshop on nonlinear elliptic partial differential equations, in honour…”
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Lower bounds for non-convex stochastic optimization Autor Arjevani, Yossi, Carmon, Yair, Duchi, John C., Foster, Dylan J., Srebro, Nathan, Woodworth, Blake

“…We lower bound the complexity of finding ϵ -stationary points (with gradient norm at most ϵ ) using stochastic first-order methods. In a well-studied model…”
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Stochastic differential equations : an introduction with applications Autor Oksendal, Bernt

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Distributed stochastic gradient tracking methods Autor Pu, Shi, Nedić, Angelia

“…In this paper, we study the problem of distributed multi-agent optimization over a network, where each agent possesses a local cost function that is smooth and…”
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Wild horse optimizer: a new meta-heuristic algorithm for solving engineering optimization problems Autor Naruei, Iraj, Keynia, Farshid

“…Nowadays, the design of optimization algorithms is very popular to solve problems in various scientific fields. The optimization algorithms usually inspired by…”
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A mass supercritical problem revisited Autor Jeanjean, Louis, Lu, Sheng-Sen

“…In any dimension N ≥ 1 and for given mass m > 0 , we revisit the nonlinear scalar field equation with an L 2 constraint: - Δ u = f ( u ) - μ u in R N , ‖ u ‖ L…”
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Multiple solutions for nonhomogeneous Schrödinger–Kirchhoff type equations involving the fractional p-Laplacian in RN Autor Pucci, Patrizia, Xiang, Mingqi, Zhang, Binlin

“…In this paper we investigate the existence of multiple solutions for the nonhomogeneous fractional p -Laplacian equations of Schrödinger–Kirchhoff type M ∫ ∫ R…”
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Linear convergence of first order methods for non-strongly convex optimization Autor Necoara, I., Nesterov, Yu, Glineur, F.

“…The standard assumption for proving linear convergence of first order methods for smooth convex optimization is the strong convexity of the objective function,…”
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