Results 61 to 70 of about 6,516,300 (304)

A Survey on Mixed-Integer Programming Techniques in Bilevel Optimization

EURO Journal on Computational Optimization, 2021
Bilevel optimization is a field of mathematical programming in which some variables are constrained to be the solution of another optimization problem. As a consequence, bilevel optimization is able to model hierarchical decision processes.
Thomas Kleinert, Martine Labbé, Ivana Ljubić, Martin Schmidt   +3 more
doaj   +1 more source

A Primal-dual Learning Algorithm for Personalized Dynamic Pricing with an Inventory Constraint [PDF]

Mathematics of Operations Research, 2018
We consider the problem of a firm seeking to use personalized pricing to sell an exogenously given stock of a product over a finite selling horizon to different consumer types.
Ningyuan Chen, G. Gallego
semanticscholar   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

An Evolutionary Game-Based Regulatory Path for Algorithmic Price Discrimination in E-Commerce Platforms

Mathematics
With the advent of big data, the swift advancement of diverse algorithmic technologies has enhanced the transaction efficiency of the e-commerce business.
Yan Guo, Jiajun Lin, Weiqing Zhuang
doaj   +1 more source

Optimization Approaches for Demand-Side Management in the Smart Grid: A Systematic Mapping Study

Smart Cities, 2023
Demand-side management in the smart grid often consists of optimizing energy-related objective functions, with respect to variables, in the presence of constraints expressing electrical consumption habits.
Safaa Mimi, Yann Ben Maissa, Ahmed Tamtaoui   +2 more
doaj   +1 more source

Adjoint methods for computing sensitivities in local volatility surfaces [PDF]

, 2010
In this paper we present the adjoint method of computing sensitivities of option prices with respect to nodes in the local volatility surface. We first introduce the concept of algorithmic differentiation and how it relates to\ud path-wise sensitivity ...
Spilda, Juraj
core   +1 more source

Profit Maximization for Online Advertising Demand-Side Platforms

, 2017
We develop an optimization model and corresponding algorithm for the management of a demand-side platform (DSP), whereby the DSP aims to maximize its own profit while acquiring valuable impressions for its advertiser clients.
Grigas, Paul, Lee, Kuang-chih, Lobos, Alfonso, Wen, Zheng   +3 more
core   +1 more source

Exact Ground States of Large Two-Dimensional Planar Ising Spin Glasses [PDF]

, 2008
Studying spin-glass physics through analyzing their ground-state properties has a long history. Although there exist polynomial-time algorithms for the two-dimensional planar case, where the problem of finding ground states is transformed to a minimum ...
A. Galluccio, A. Galluccio, A. Hartmann, A. K. Hartmann, B. Bollobás, C. H. Papadimitriou, F. Harary, F. Harary, F. Liers, F. Liers, G. L. Nemhauser, G. Pardella, H. Rieger, J. Edmonds, J. Edmonds, L. Lovász, R. Diestel, V. Chvátal, W. J. Cook   +18 more
core   +2 more sources

Rational Design of Printable Carbon Nanotube Transparent Conductive Films via Data‐Driven and Mechanistic Insights

Advanced Functional Materials, EarlyView.
A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou, Ken‐ichi Nomura, Shun Muroga, Makoto Yoneya, Don N. Futaba, Takeo Yamada, Reiko Azumi, Kenji Hata   +7 more
wiley   +1 more source

Deciphering algorithmic collusion: Insights from bandit algorithms and implications for antitrust enforcement

Journal of Economy and Technology
This paper explores algorithmic collusion from both legal and economic perspectives, underscoring the increasing influence of algorithms in firms’ market decisions and their potential to facilitate anti-competitive behaviour.
Frédéric Marty, Thierry Warin
doaj   +1 more source