Results 1 to 10 of about 173,689 (167)

Optimal boundaries for decisions [PDF]

open access: yesAtti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali, 2008
In this paper we state and prove some new results on the optimal boundaries. These boundaries (called Pareto boundaries too) are of increasing importance in the applications to Decision Theory.
Carfi', David
doaj   +3 more sources

On Lipschitz Continuous Optimal Stopping Boundaries [PDF]

open access: yesSIAM Journal on Control and Optimization, 2019
We obtain a probabilistic proof of the local Lipschitz continuity for the optimal stopping boundary of a class of problems with state space $[0,T]\times\mathbb{R}^d$, $d\ge 1$. To the best of our knowledge this is the only existing proof that relies exclusively upon stochastic calculus, all the other proofs making use of PDE techniques and integral ...
Tiziano De Angelis
exaly   +8 more sources

Optimal Absorption of Acoustic Waves by a Boundary [PDF]

open access: yesSIAM Journal on Control and Optimization, 2021
In the aim to find the simplest and most efficient shape of a noise absorbing wall to dissipate the acoustical energy of a sound wave, we consider a frequency model described by the Helmholtz equation with a damping on the boundary. The well-posedness of the model is shown in a class of domains with d-set boundaries (N -- 1 $\le$ d < N).
Frédéric Magoulès   +3 more
openaire   +4 more sources

Cat swarm optimization for the determination of strata boundaries [PDF]

open access: yesYugoslav Journal of Operations Research, 2023
A stratified random sampling method is preferred for selecting varied populations with outliers. As opposed to plain random sampling, stratified sampling increases statistical precision by reducing estimator variance.
Jasim Raghad M.
doaj   +1 more source

Optimal patrolling of fragmented boundaries [PDF]

open access: yesProceedings of the twenty-fifth annual ACM symposium on Parallelism in algorithms and architectures, 2013
A set of mobile robots is deployed on a simple curve of finite length, composed of a finite set of vital segments separated by neutral segments. The robots have to patrol the vital segments by perpetually moving on the curve, without exceeding their maximum speed.
Collins, Andrew   +7 more
openaire   +2 more sources

Globally optimal regions and boundaries [PDF]

open access: yesProceedings of the Seventh IEEE International Conference on Computer Vision, 1999
We propose a new form of energy functional for the segmentation of regions in images, and an efficient method for finding its global optima. The energy can have contributions from both the region and its boundary, thus combining the best features of region- and boundary-based approaches to segmentation. By transforming the region energy into a boundary
Ian Jermyn, Hiroshi Ishikawa 0002
openaire   +4 more sources

Transition boundaries and stiffness optimal design for multi-TPMS lattices

open access: yesMaterials & Design, 2021
Nature has skillfully and finely optimized porous structures with specific configurations in different regions according to the service requirements of organisms, thus evolving the heterogeneous structure with multiple functions.
Fangxi Ren   +10 more
doaj   +1 more source

Boundaries of computational complexity and optimal cluster’s quantity for controlled swarm in non-cooperative games [PDF]

open access: yesИзвестия высших учебных заведений: Прикладная нелинейная динамика, 2021
The purpose of the work is to determine the relationship between the computational complexity of controlling a swarm of particles and the available computational resources for choosing the optimal control strategy.
Kiselev, Oleg Михайлович
doaj   +1 more source

Zonal-Based Optimal Microgrids Identification

open access: yesEnergies, 2022
Even though many studies have been deployed to determine the optimal planning and operation of microgrids, limited research was discussed to determine the optimal microgrids’ geographical boundaries.
Abdullah Albaker   +3 more
doaj   +1 more source

Predictive Machine Learning of Objective Boundaries for Solving COPs

open access: yesAI, 2021
Solving Constraint Optimization Problems (COPs) can be dramatically simplified by boundary estimation, that is providing tight boundaries of cost functions.
Helge Spieker, Arnaud Gotlieb
doaj   +1 more source

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