Recent contributions to linear semi-infinite optimization: an update
MA Goberna, MA López - Annals of Operations Research, 2018 - Springer
This paper reviews the state-of-the-art in the theory of deterministic and uncertain linear
semi-infinite optimization, presents some numerical approaches to this type of problems …
semi-infinite optimization, presents some numerical approaches to this type of problems …
Recent contributions to linear semi-infinite optimization
MA Goberna, MA López - 4OR, 2017 - Springer
This paper reviews the state-of-the-art in the theory of deterministic and uncertain linear
semi-infinite optimization, presents some numerical approaches to this type of problems …
semi-infinite optimization, presents some numerical approaches to this type of problems …
Robust solutions of multiobjective linear semi-infinite programs under constraint data uncertainty
The multiobjective optimization model studied in this paper deals with simultaneous
minimization of finitely many linear functions subject to an arbitrary number of uncertain …
minimization of finitely many linear functions subject to an arbitrary number of uncertain …
[图书][B] Post-optimal analysis in linear semi-infinite optimization
MA Goberna, MA López - 2014 - Springer
Linear semi-infinite optimization (LSIO) deals with linear optimization problems in which
either the dimension of the decision space or the number of constraints (but not both) is …
either the dimension of the decision space or the number of constraints (but not both) is …
Automated treatment planning for a dedicated multi‐source intracranial radiosurgery treatment unit using projected gradient and grassfire algorithms
Purpose: The purpose of this work is to develop a framework to the inverse problem for
radiosurgery treatment planning on the Gamma Knife® Perfexion™(PFX) for intracranial …
radiosurgery treatment planning on the Gamma Knife® Perfexion™(PFX) for intracranial …
A convex optimization approach to radiation treatment planning with dose constraints
We present a method for handling dose constraints as part of a convex programming
framework for inverse treatment planning. Our method uniformly handles mean dose …
framework for inverse treatment planning. Our method uniformly handles mean dose …
A preliminary study on a multiresolution‐level inverse planning approach for Gamma Knife radiosurgery
Purpose With many plan variables to determine, manual forward planning for Gamma Knife
(GK) radiosurgery is very challenging. Inverse planning eases GK planning by determining …
(GK) radiosurgery is very challenging. Inverse planning eases GK planning by determining …
Constraint generation methods for robust optimization in radiation therapy
We develop a constraint generation solution method for robust optimization problems in
radiation therapy in which the problems include a large number of robust constraints. Each …
radiation therapy in which the problems include a large number of robust constraints. Each …
On semidefinite representations of second-order conic optimization problems
P Sampourmahani, M Mohammadisiahroudi… - arXiv preprint arXiv …, 2023 - arxiv.org
Second-order conic optimization (SOCO) can be considered as a special case of
semidefinite optimization (SDO). In the literature it has been advised that a SOCO problem …
semidefinite optimization (SDO). In the literature it has been advised that a SOCO problem …
A new warmstarting strategy for the primal-dual column generation method
J Gondzio, P González-Brevis - Mathematical Programming, 2015 - Springer
This paper presents a new warmstarting technique in the context of a primal-dual column
generation method applied to solve a particular class of combinatorial optimization …
generation method applied to solve a particular class of combinatorial optimization …