Results 141 to 150 of about 7,951 (180)
Stochastic portfolio optimization: A regret-based approach on volatility risk measures: An empirical evidence from The New York stock market. [PDF]
Larni-Fooeik A, Sadjadi SJ, Mohammadi E.
europepmc +1 more source
Analysis of multidimensional impacts of electric vehicles penetration in distribution networks. [PDF]
Ibrahim RA, Gaber IM, Zakzouk NE.
europepmc +1 more source
PTVR - A software in Python to make virtual reality experiments easier to build and more reproducible. [PDF]
Castet E +7 more
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Beyond Color Boundaries: Pioneering Developments in Cholesteric Liquid Crystal Photonic Actuators. [PDF]
Zhang J, Zhang Y, Yang J, Wang X.
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Coordinated multipoint (CoMP) transmission is a promising technique to mitigate intercell interference and to increase system throughput in single-frequency reuse networks. Despite the remarkable benefits, the associated operational costs for exchanging user data and control information between multiple cooperating base stations (BSs) limit practical ...
Yong Cheng +2 more
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On sublinear inequalities for mixed integer conic programs
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fatma Kılınç-Karzan, Daniel E. Steffy
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Cuts for Conic Mixed-Integer Programming
A conic integer program is an integer programming problem with conic constraints. Conic integer programming has important applications in finance, engineering, statistical learning, and probabilistic integer programming. Here we study mixed-integer sets defined by second-order conic constraints.
Alper Atamtürk, Vishnu Narayanan
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This paper presents a model to maximize the renewable energy penetration level in reconfigurable radial distribution system when renewable generation and load profile are hardly matched. By means of variable substitution and relaxation method, the original mixed-integer nonlinear programming model can be transformed into a mixed-integer conic ...
Yafei Yang +4 more
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Mixed-Integer Conic Linear Programming: Challenges and Perspectives
Abstract : Fundamental Disjunctive Conic Cut (DCC) methodology for Mixed-Integer Conic Linear Optimization (MICO) was developed. To describe the convex hull of the intersection of a convex set E and a linear disjunction is the fundamental problem, and that served as the core of solution techniques for MICO.
Tamás Terlaky
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