Search Results - "Aharon, Tal"
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Robust Solutions of Optimization Problems Affected by Uncertain Probabilities
Published in Management science (01-02-2013)“…In this paper we focus on robust linear optimization problems with uncertainty regions defined by φ -divergences (for example, chi-squared, Hellinger,…”
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Configuration Space Analysis of the Specific Rotation of Helicenes
Published in The journal of physical chemistry. A, Molecules, spectroscopy, kinetics, environment, & general theory (23-05-2019)“…In this work, we present an analysis of a series of helicene molecules to determine the driving forces for their large specific rotation, [α]ω, and probe the…”
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A molecular orbital selection approach for fast calculations of specific rotation with density functional theory
Published in Chirality (New York, N.Y.) (01-03-2020)“…In this work, we describe a simple approach to select the most important molecular orbitals (MOs) to compute the optical rotation tensor through linear…”
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AN OLD-NEW CONCEPT OF CONVEX RISK MEASURES: THE OPTIMIZED CERTAINTY EQUIVALENT
Published in Mathematical finance (01-07-2007)“…The optimized certainty equivalent (OCE) is a decision theoretic criterion based on a utility function, that was first introduced by the authors in 1986. This…”
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Helicene Appended Benzothiadiazoles as Chiral Emitters
Published in Chemistry : a European journal (25-07-2024)“…A homologous series of 4,7‐bis(aryl) substituted benzothiadiazole (BTD) compounds, containing the helicenic derivatives bis([4]helicene), bis([5]helicene) and…”
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Comparison of measured and predicted specific optical rotation in gas and solution phases: A test for the polarizable continuum model of solvation
Published in Chirality (New York, N.Y.) (01-04-2018)“…A comparative theoretical and experimental study of dispersive optical activity is presented for a set of small, rigid organic molecules in gas and solution…”
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Selected topics in robust convex optimization
Published in Mathematical programming (01-03-2008)“…Robust Optimization is a rapidly developing methodology for handling optimization problems affected by non-stochastic “uncertain-but- bounded” data…”
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Deriving robust counterparts of nonlinear uncertain inequalities
Published in Mathematical programming (01-02-2015)“…In this paper we provide a systematic way to construct the robust counterpart of a nonlinear uncertain inequality that is concave in the uncertain parameters…”
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Duality in robust optimization: Primal worst equals dual best
Published in Operations research letters (2009)“…We study the dual problems associated with the robust counterparts of uncertain convex programs. We show that while the primal robust problem corresponds to a…”
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Oracle-Based Robust Optimization via Online Learning
Published in Operations research (01-05-2015)“…Robust optimization is a common optimization framework under uncertainty when problem parameters are unknown, but it is known that they belong to some given…”
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Robust multi-echelon multi-period inventory control
Published in European journal of operational research (16-12-2009)“…We consider the problem of minimizing the overall cost of a supply chain, over a possible long horizon, under demand uncertainly which is known only crudely…”
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Journal Article Conference Proceeding -
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Robust optimization: methodology and applications
Published in Mathematical programming (01-05-2002)“…Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is…”
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Conference Proceeding Journal Article -
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A Soft Robust Model for Optimization Under Ambiguity
Published in Operations research (01-07-2010)“…In this paper, we propose a framework for robust optimization that relaxes the standard notion of robustness by allowing the decision maker to vary the…”
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Extending Scope of Robust Optimization: Comprehensive Robust Counterparts of Uncertain Problems
Published in Mathematical programming (01-06-2006)“…In this paper, we propose a new methodology for handling optimization problems with uncertain data. With the usual Robust Optimization paradigm, one looks for…”
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On Safe Tractable Approximations of Chance-Constrained Linear Matrix Inequalities
Published in Mathematics of operations research (01-02-2009)“…In the paper we consider the chance-constrained version of an affinely perturbed linear matrix inequality (LMI) constraint, assuming the primitive…”
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Chance constrained uncertain classification via robust optimization
Published in Mathematical programming (01-03-2011)“…This paper studies the problem of constructing robust classifiers when the training is plagued with uncertainty. The problem is posed as a Chance-Constrained…”
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Compact Basis Sets for Optical Rotation Calculations
Published in Journal of chemical theory and computation (14-07-2020)“…In this work, we present two compact basis sets optimized for the calculation of specific rotation: augD-3-21G and augT3-3-21G. They are obtained by combining…”
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On Polyhedral Approximations of the Second-Order Cone
Published in Mathematics of operations research (01-05-2001)“…We demonstrate that a conic quadratic problem,…”
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A sequential parametric convex approximation method with applications to nonconvex truss topology design problems
Published in Journal of global optimization (01-05-2010)“…We describe a general scheme for solving nonconvex optimization problems, where in each iteration the nonconvex feasible set is approximated by an inner convex…”
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The CoMirror algorithm for solving nonsmooth constrained convex problems
Published in Operations research letters (01-11-2010)“…We introduce a first-order Mirror-Descent (MD) type algorithm for solving nondifferentiable convex problems having a combination of simple constraint set X…”
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