Results 221 to 230 of about 1,214,649 (366)
Amendment Thresholds and Voting Rules in Debt Contracts
ABSTRACT Most loan contracts in the United States contain a provision for lender voting rules. We study the optimal voting rule that allows lenders to waive a covenant violation. When lenders have heterogeneous preferences, lenient voting rules increase the probability of waivers that allow inefficient investments.
JUDSON CASKEY +2 more
wiley +1 more source
Combination of Density‐Based Spatial Clustering With Grid Search Using Nash Equilibrium [PDF]
Uranus Kazemi, Seyfollah Soleimani
openalex +1 more source
Optimal energy management of water networks under quality conditions
Abstract In the context of sustainability, which has become fundamental today, we aim to optimize (reduce) the energy consumption due to the use of pumps that bring water from all the different reservoirs to the nodes of the distribution network. The proposed model allows us, thanks to the use of smart meters and new 5G technologies, to determine the ...
Gabriella Colajanni +2 more
wiley +1 more source
Nash equilibrium conditions of sensory–motor IBM.
Hiroyuki Ichijo (13891153) +2 more
openalex +1 more source
Algorithms for finding global and local equilibrium points of Nash-Cournot equilibrium models involving concave cost [PDF]
Lê Dũng Mưu, Nguyễn Văn Qúy
openalex +1 more source
ABSTRACT This study examines endogenous choices of competition strategies in a vertically related mixed market in which an integrated public firm and a downstream firm, subject to forward passive ownership (FPO) by an input supplier, may engage in R&D investment.
Lili Xu, Yidan Zhang, Sang‐Ho Lee
wiley +1 more source
Decentralized Reinforcement Learning for Asymmetric Gene Network Interventions. [PDF]
Hosseini SH, Imani M.
europepmc +1 more source
Efficient Nash Equilibrium Resource Allocation Based on Game Theory Mechanism in Cloud Computing by Using Auction. [PDF]
Nezarat A, Dastghaibifard GH.
europepmc +1 more source
Generative Deep Learning for Advanced Battery Materials
This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal +3 more
wiley +1 more source

