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Nonparametric Determination of the Committor in Multimolecular Systems. [PDF]
Trugilho LF +3 more
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Global Optimality Conditions in Nonconvex Optimization
Journal of Optimization Theory and Applications, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
A. Strekalovsky
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On Optimality Conditions for Nonlinear Conic Programming
Mathematics of Operations Research, 2021Sequential optimality conditions play a major role in proving stronger global convergence results of numerical algorithms for nonlinear programming. Several extensions are described in conic contexts, in which many open questions have arisen.
R. Andreani +4 more
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SIAM Journal on Optimization, 2019
In recent years, the theoretical convergence of iterative methods for solving nonlinear constrained optimization problems has been addressed using sequential optimality conditions, which are satisf...
R. Andreani +3 more
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In recent years, the theoretical convergence of iterative methods for solving nonlinear constrained optimization problems has been addressed using sequential optimality conditions, which are satisf...
R. Andreani +3 more
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Optimality conditions in convex multiobjective SIP
Mathematical programming, 2016The purpose of this paper is to characterize the weak efficient solutions, the efficient solutions, and the isolated efficient solutions of a given vector optimization problem with finitely many convex objective functions and infinitely many convex ...
M. Goberna, N. Kanzi
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Some Optimality Conditions in Vector Optimization
Journal of Information and Optimization Sciences, 1989Abstract In this paper, by means of a theorem of the alternative for generalized systems, weak alternative is introduced and some necessary and/or sufficient optimality conditions such as a generalized saddle-point condition is deduced; a simple proof of the Fritz John conditions for multiobjective functions is given.
CAMBINI A., MARTEIN, LAURA
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Optimality Conditions for Vector Optimization Problems
Journal of Optimization Theory and Applications, 2009The paper considers vector optimization problems (VOP) of the form \[ \min F(x) \text{ subject to } u_i(x) \leq 0, i\in\{1, \dots, m\}; v_j(x) =0, j\in\{1, \dots, n\}, \] where \(F:X \rightarrow \mathbb{R}^L\) and \(u_i, v_j: X\rightarrow \mathbb{R}\) and \(X\) is a Banach space.
Huang, N. J., Li, J., Wu, S. Y.
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