Results 31 to 40 of about 9,886,421 (293)

Efficient Online Linear Optimization with Approximation Algorithms [PDF]

open access: yesNeural Information Processing Systems, 2017
We revisit the problem of online linear optimization in the case where the set of feasible actions is accessible through an approximated linear optimization oracle with a factor α multiplicative approximation guarantee.
D. Garber
semanticscholar   +1 more source

Mesoscale Wind Farm Placement via Linear Optimization Constrained by Power System and Techno-economics

open access: yesJournal of Modern Power Systems and Clean Energy, 2021
The objective of this study is to develop a wind farm placement and investment methodology based on a linear optimization procedure. This problem has a major significance for the investment success for the projects of renewable energy such as wind power.
Ali Erduman   +3 more
doaj   +1 more source

Linear Optimization Models for Maj-3 and Maj-5 Exact Synthesis

open access: yesIEEE Access, 2022
Due to the physical restriction of current CMOS technology, the study of majority based nanotechnologies has been progressing steadily. In this paper, we present a new exact synthesis algorithm for majority-of-three and majority-of-five boolean functions.
Evandro Catelani Ferraz   +1 more
doaj   +1 more source

One-stage uncertain linear optimization [PDF]

open access: yesJournal of Hyperstructures, 2018
Uncertainty is one of the intrinsic features of natural phenomenon and optimization is not an exception. Parameters in an optimization problem may be inaccurately presented, or due to variation after solving the problem, the current optimal solution may ...
Zeinab Zarea   +1 more
doaj   +1 more source

Cooperative Grey Games: Grey Solutions and an Optimization Algorithm [PDF]

open access: yesInternational Journal of Supply and Operations Management, 2017
In this paper, some set-valued solutions using grey payoffs, namely, the grey core, the grey dominance core and the grey stable sets for cooperative grey games, are introduced and studied.
Osman Palanci   +4 more
doaj   +1 more source

Convex Combinatorial Optimization [PDF]

open access: yes, 2003
We introduce the convex combinatorial optimization problem, a far reaching generalization of the standard linear combinatorial optimization problem. We show that it is strongly polynomial time solvable over any edge-guaranteed family, and discuss several
Onn, Shmuel, Rothblum, Uriel G.
core   +4 more sources

Classical linear vector optimization duality revisited

open access: yes, 2010
With this note we bring again into attention a vector dual problem neglected by the contributions who have recently announced the successful healing of the trouble encountered by the classical duals to the classical linear vector optimization problem ...
Bot, Radu Ioan   +2 more
core   +1 more source

Game Theory-Based Risk Assessment of the Use of Autonomous Cars in an Urbanized Area

open access: yesMathematics
With the advancement of autonomous vehicles and their integration into urbanized areas, new challenges emerge related to safety and risk management. This paper presents an approach to assessing the risks of using autonomous cars in urban environments ...
Vasilena Adamova   +4 more
doaj   +1 more source

Methodology of Transport Scheme Selection for Metro Trains Using a Combined Simulation-Optimization Model

open access: yesPromet (Zagreb), 2017
A major problem connected with planning the organization of trains in metros is the optimization of the scheme of movement, which determines the routing and the number of trains.
Svetla Dimitrova Stoilova   +1 more
doaj   +1 more source

Private stochastic convex optimization: optimal rates in linear time [PDF]

open access: yesSymposium on the Theory of Computing, 2020
We study differentially private (DP) algorithms for stochastic convex optimization: the problem of minimizing the population loss given i.i.d. samples from a distribution over convex loss functions. A recent work of Bassily et al.
V. Feldman, Tomer Koren, Kunal Talwar
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy