Results 81 to 90 of about 1,073,390 (172)
Understanding higher‐order aberrations in keratoconus
Optometry and Vision Science, Volume 103, Issue 10, October 2026.ABSTRACT Keratoconus is characterized by progressive thinning and increasing irregularity of the cornea, leading to substantial degradation in optical quality through the induction of both lower‐ and higher‐order aberrations (HOAs). In addition to inducing myopic and astigmatic refractive error, asymmetric corneal steepening generates complex optical ...
Gavin Swartz +3 more
wiley +1 more source
A Mixed-Integer Conic Program for the Multi-Agent Moving-Target Traveling Salesman Problem
2025 IEEE 21st International Conference on Automation Science and Engineering (CASE)7 pages, 3 ...
Allen George Philip +3 more
openaire +4 more sources
Worst case bounds on facial reduction for conic programming [PDF]
, 2016 Conic linear programming is a powerful modelling technique with many applications in engineering, planning, statistics and many others. Typically, a conic linear program (CLP) is expressed as the task of minimizing some linear function subject to linear ...
Lourenço, Bruno Figueira +2 more
core +1 more source
Application of mixed integer programming to a large scale logistics problem [PDF]
Integer Programming;Logistics ...
Westerhof, A.J. +2 more
core
Prepositioning network design for humanitarian relief purposes under correlated demand uncertainty. [PDF]
Comput Ind Eng, 2023 Zhang X, Chen D.
europepmc +2 more sources
, 2017 We consider the constrained assortment optimization problem under the mixed multinomial logit model. Even moderately sized instances of this problem are challenging to solve directly using standard mixed-integer linear optimization formulations. This has motivated recent research exploring customized optimization strategies and approximation techniques.
Şen, Alper +2 more
openaire +3 more sources
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)7 pages, 4 ...
Allen George Philip +3 more
openaire +3 more sources
Approximation in stochastic integer programming [PDF]
Approximation algorithms are the prevalent solution methods in the field of stochastic programming. Problems in this field are very hard to solve. Indeed, most of the research in this field has concentrated on designing solution methods that approximate ...
Vlerk, Maarten H. van der, Stougie, Leen
core
Practicable robust stochastic optimization under divergence measures with an application to equitable humanitarian response planning. [PDF]
OR Spectr, 2023 Caunhye AM, Alem D.
europepmc +1 more source
Modelling and solution methods for stochastic optimisation [PDF]
, 2011 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.In this thesis we consider two research problems, namely, (i) language constructs for modelling stochastic programming (SP) problems and (ii) solution ...
Zverovich, Victor
core +2 more sources