Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Ellen H. Fukuda"'
Autor:
D. O. Santos, Roberto Andreani, Leornardo Delarmelina Secchin, Ellen H. Fukuda, Gabriel Haeser
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Jordan Algebras are an important tool for dealing with semidefinite programming and optimization over symmetric cones in general. In this paper, a judicious use of Jordan Algebras in the context of sequential optimality conditions is done in order to
Publikováno v:
Optimization. 71:419-437
We propose an extension of the real-valued conjugate directions method for unconstrained quadratic multiobjective problems. As in the single-valued counterpart, the procedure requires a set of dire...
Autor:
D. O. Santos, Roberto Andreani, Héctor Ramírez, Thiago Parente da Silveira, Gabriel Haeser, Ellen H. Fukuda, Paulo J. S. Silva
Publikováno v:
Set-Valued and Variational Analysis. 30:329-333
In this note we show with a counter-example that all conditions proposed in Zhang and Zhang (Set-Valued Var. Anal 27:693–712 2019) are not constraint qualifications for second-order cone programming.
Publikováno v:
Journal of Global Optimization. 75:63-90
In the last two decades, many descent methods for multiobjective optimization problems were proposed. In particular, the steepest descent and the Newton methods were studied for the unconstrained case. In both methods, the search directions are compu
Publikováno v:
Computational Optimization and Applications. 72:339-361
We propose new descent methods for unconstrained multiobjective optimization problems, where each objective function can be written as the sum of a continuously differentiable function and a proper convex but not necessarily differentiable one. The m
Many descent algorithms for multiobjective optimization have been developed in the last two decades. Tanabe et al. (Comput Optim Appl 72(2):339--361, 2019) proposed a proximal gradient method for multiobjective optimization, which can solve multiobje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8ff0066a595787e137a4e6ff99e0542
http://arxiv.org/abs/2010.08217
http://arxiv.org/abs/2010.08217
Publikováno v:
IEEE Transactions on Green Communications and Networking
IEEE Transactions on Green Communications and Networking, 2021, 5 (1), pp.146-159. ⟨10.1109/TGCN.2020.3034638⟩
IEEE Transactions on Green Communications and Networking, 2021, 5 (1), pp.146-159. ⟨10.1109/TGCN.2020.3034638⟩
Fog Radio Access Networks (F-RAN) are gaining worldwide interests for enabling mobile edge computing for Beyond 5G. However, to realize the future real-time and delay-sensitive applications, F-RAN tailored radio resource allocation and interference m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1540bd0862cc6ebd60abb2cdd759f504
http://arxiv.org/abs/2009.12275
http://arxiv.org/abs/2009.12275
Publikováno v:
IEEE Transactions on Communications
IEEE Transactions on Communications, 2019, 1 (6), pp.3750-3765. ⟨10.1109/TCOMM.2020.2974722⟩
IEEE International Conference on Communications (ICC), 2013
IEEE International Conference on Communications (ICC), 2013, 2019, 1 (6), pp.3750-3765. ⟨10.1109/TCOMM.2020.2974722⟩
IEEE Transactions on Communications, 2019, 1 (6), pp.3750-3765. ⟨10.1109/TCOMM.2020.2974722⟩
IEEE International Conference on Communications (ICC), 2013
IEEE International Conference on Communications (ICC), 2013, 2019, 1 (6), pp.3750-3765. ⟨10.1109/TCOMM.2020.2974722⟩
The LoRa physical layer is one of the most promising Low Power Wide-Area Network (LPWAN) technologies for future Internet of Things (IoT) applications. It provides a flexible adaptation of coverage and data rate by allocating different Spreading Fact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::849f7ed979c95ca8ee2a441dcc325acf
https://hal.science/hal-02988289/file/1904.11303.pdf
https://hal.science/hal-02988289/file/1904.11303.pdf
Autor:
Masao Fukushima, Ellen H. Fukuda
Publikováno v:
Journal of Optimization Theory and Applications. 170:394-418
In traditional nonlinear programming, the technique of converting a problem with inequality constraints into a problem containing only equality constraints, by the addition of squared slack variables, is well known. Unfortunately, it is considered to
Publikováno v:
TOP. 24:493-513
We propose an extension of the classical real-valued external penalty method to the multicriteria optimization setting. As its single objective counterpart, it also requires an external penalty function for the constraint set, as well as an exogenous