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When is Assortment Optimization Optimal?
Proceedings of the 23rd ACM Conference on Economics and Computation, 2022 Assortment optimization concerns the problem of selling items with fixed prices to a buyer who will purchase at most one. Typically, retailers select a subset of items, corresponding to an “assortment” of brands to carry, and make each selected item available for purchase at its brand-recommended price.
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An Introduction to Optimization on Smooth Manifolds
, 2023 Optimization on Riemannian manifolds-the result of smooth geometry and optimization merging into one elegant modern framework-spans many areas of science and engineering, including machine learning, computer vision, signal processing, dynamical systems ...
Nicolas Boumal
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SSRN Electronic Journal, 2012 The teacher–student relationship is modeled as an agency problem, where teachers are concerned with human capital formation and students with ability signaling. We distinguish between two cases depending on whether in ability inference the job market can or cannot observe the grading rule applied. We show that many empirical grading patterns, including
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Is Optimal Monetary Policy Always Optimal? [PDF]
SSRN Electronic Journal, 2015 No. And not only for the reason you think. In a world with multiple inefficiencies the single policy tool the central bank has control over will not undo all inefficiencies; this is well understood. We argue that the world is better characterized by multiple inefficiencies and multiple policy makers with various objectives.
Davig, Troy, Gurkaynak, Refet S.
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Joint Uplink and Downlink Resource Allocation for D2D Communications System
Future Internet, 2019 In cellular networks, device-to-device communications can increase the spectrum efficiency, but some conventional schemes only consider uplink or downlink resource allocation.
Xin Song +4 more
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Optimization of a Centrifugal Compressor Using the Design of Experiment Technique [PDF]
, 2019 Centrifugal compressor performance is affected by many parameters, optimization of which can lead to superior designs. Recognizing the most important parameters affecting performance helps to reduce the optimization process cost.
Aungier, Mason, Mojaddam
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Journal of Engineering, 2018 Pilot test of complex thermal fluid recovery technology was conducted in NB35-2 heavy oil field. Wellhead uplift was detected among some oil wells, and development of offshore thermal recovery technology could be restricted by the serious safety problems
Shexia Dong +4 more
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Constrained ear decompositions in graphs and digraphs [PDF]
Discrete Mathematics & Theoretical Computer Science, 2019 Ear decompositions of graphs are a standard concept related to several major problems in graph theory like the Traveling Salesman Problem. For example, the Hamiltonian Cycle Problem, which is notoriously N P-complete, is equivalent to deciding whether a ...
Frédéric Havet, Nicolas Nisse
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Learning-based ship design optimization approach [PDF]
, 2012 With the development of computer applications in ship design, optimization, as a powerful approach, has been widely used in the design and analysis process.
Cui, Hao, Sayer, Philip, Turan, Osman
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Secure Communication for Uplink Cellular Networks Assisted with Full-Duplex Device-to-Device User
Future Internet, 2020 In this paper, the secure communication based on the full-duplex (FD) device-to-device (D2D) in cellular networks is proposed. For the proposed scheme, the novel model is established, in which a D2D user is played as a relay operating in FD mode to ...
Xin Song, Lin Xia, Siyang Xu, Yue Wang
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