Suchergebnisse - Infinite-dimensional Parametric Programming

Convex Parametric Programming in Abstract Spaces von Asgharian, M., Zlobec, S.

“… This article studies stability and optimality for convex parametric programming models in abstract spaces …”
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Duality gap function in infinite dimensional linear programming von Vinh, N.T., Kim, D.S., Tam, N.N., Yen, N.D.

“… The concept of duality gap function in infinite dimensional linear programming is considered in this paper …”
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Subdifferentials of value functions and optimality conditions for DC and bilevel infinite and semi-infinite programs von Dinh, N., Mordukhovich, B., Nghia, T. T. A.

“… The paper concerns the study of new classes of parametric optimization problems of the so-called infinite programming that are generally defined on infinite-dimensional spaces of decision variables …”
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Necessary and Sufficient Conditions for Qualitative Properties of Infinite Dimensional Linear Programming Problems von Khanh, Pham Duy, Mo, Tran Hong, Tran, Trinh T. T.

“… Necessary and sufficient conditions for qualitative properties of infinite dimensional linear programing problems such as solvability, duality, and complementary slackness conditions are studied in this article …”
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INTERSECTION BOUNDS: ESTIMATION AND INFERENCE von Chernozhukov, Victor, Lee, Sokbae, Rosen, Adam M.

“… We develop a practical and novel method for inference on intersection bounds, namely bounds defined by either the infimum or supremum of a parametric or nonparametric function, or, equivalently …”
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Robust continuous linear programs von Ghate, Archis

“… Continuous linear programs (CLPs) arise in applications such as production/economic planning, continuous-time network flow problems, fluid relaxations of …”
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Continuous-Time Generalized Fractional Programming Problems. Part I: Basic Theory von Wen, Ching-Feng

“… The parametric method for finite-dimensional generalized fractional programming is extended to problems posed in function spaces …”
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Variational Analysis in Semi-Infinite and Infinite Programming, I: Stability of Linear Inequality Systems of Feasible Solutions von Cánovas, M. J., López, M. A., Mordukhovich, B. S., Parra, J.

“… This paper concerns applications of advanced techniques of variational analysis and generalized differentiation to parametric problems of semi-infinite and infinite programming, where decision …”
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Optimization and equilibrium problems with equilibrium constraints in infinite-dimensional spaces von Mordukhovich, Boris S.

“… The article is devoted to applications of modern variational analysis to the study of constrained optimization and equilibrium problems in infinite-dimensional spaces …”
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Continuous-Time Generalized Fractional Programming Problems, Part II: An Interval-Type Computational Procedure von Wen, Ching-Feng

“… The theory presented in Part I (Wen in J. Optim. Theory Appl. 2012) of this study led to a theoretical parametric procedure for continuous-time generalized fractional programming problems. In this paper (Part II …”
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On Some Properties of Parametric Quadratic Programs Pertaining to Continuous-time Quadratic Fractional Programming von Ching-Feng Wen, Yung-Yih Lur, Wen-Hsien Ho, Jyh-Horng Chou

“… Such problems are called the {\em continuous-time quadratic fractional programming problems} (CQFP). Some basic properties of parametric continuous-time quadratic programming problems pertaining …”
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Coderivative Analysis of Variational Systems von Mordukhovich, Boris S.

“… The paper mostly concerns applications of the generalized differentiation theory in variational analysis to Lipschitzian stability and metric regularity of variational systems in infinite-dimensional spaces …”
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Constraint qualifications and optimality conditions for nonconvex semi-infinite and infinite programs von Mordukhovich, B., Nghia, T. T. A.

“… The paper concerns the study of new classes of nonlinear and nonconvex optimization problems of the so-called infinite programming that are generally defined on infinite-dimensional spaces of decision …”
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Multivariate, heteroscedastic empirical Bayes via nonparametric maximum likelihood von Soloff, Jake A, Guntuboyina, Adityanand, Sen, Bodhisattva

“… NPMLEs estimate an arbitrary prior by solving an infinite-dimensional, convex optimization problem …”
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Adaptive estimation of continuous-time regression models using high-frequency data von Li, Jia, Todorov, Viktor, Tauchen, George

“… We further construct an estimator from high-frequency data that achieves this efficiency bound and, indeed, is adaptive to the presence of infinite-dimensional nuisance components …”
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Differential Stability of Convex Optimization Problems with Possibly Empty Solution Sets von An, Duong Thi Viet, Yao, Jen-Chih

“… This paper studies differential stability of infinite-dimensional convex optimization problems, whose solution sets may be empty …”
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On the interplay between interior point approximation and parametric sensitivities in optimal control von Griesse, Roland, Weiser, Martin

“… Infinite-dimensional parameter-dependent optimization problems of the form ‘ min J ( u ; p ) subject to g ( u ) ⩾ 0 ’ are studied, where u is sought in an L …”
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A moment approach for entropy solutions of parameter-dependent hyperbolic conservation laws von Cardoen, Clément, Marx, Swann, Nouy, Anthony, Seguin, Nicolas

“… ) solutions, satisfying linear equations in the space of Borel measures. The infinite-dimensional linear problem is approximated by a hierarchy of convex, finite-dimensional, semidefinite programming problems, called Lasserre’s hierarchy …”
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Distributionally Safe Reinforcement Learning under Model Uncertainty: A Single-Level Approach by Differentiable Convex Programming von Chriat, Alaa Eddine, Sun, Chuangchuang

“… To improve the tractability, we first use duality theory to transform the lower-level optimization from infinite-dimensional probability space where distributional shift is measured, to a finite …”
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Quantitative stability analysis of optimal solutions in PDE-constrained optimization von Brandes, Kerstin, Griesse, Roland

“… An efficient numerical method is proposed to compute a partial singular value decomposition for discretized problems, with an emphasis on infinite-dimensional parameter and observation spaces …”
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