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Optimization theory in linear spaces. I
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Outgoing claims: the papers this work cites, builds on, or argues with.
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An Introduction to Functional Analysis
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Topological Vector Spaces
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Halbgeordnete lokalkonvexe Vektorr�ume. II
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Optimization theory in linear spaces
inferredcites →https://doi.org/10.1016/0022-247x(66)90112-0openalex-snapshot
The Kuhn-Tucker conditions in Banach space with an application to control theory
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The Fritz John necessary optimality conditions in the presence of equality and inequality constraints
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Foundations of Modern Analysis
inferredcites →https://doi.org/10.1073/pnas.56.4.1066openalex-snapshot
GENERAL NECESSARY CONDITIONS FOR OPTIMIZATION PROBLEMS
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Duality for Nonlinear Programming in a Banach Space
inferredcites →https://doi.org/10.1137/0304040openalex-snapshot
An Abstract Variational Theory with Applications to a Broad Class of Optimization Problems. I. General Theory
inferredcites →https://doi.org/10.1515/crll.1902.124.1openalex-snapshot
Theorie der einfachen Ungleichungen.
inferredcites →https://doi.org/10.2307/2342801openalex-snapshot
Studies in Linear and Non-Linear Programming.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Some Remarks on Dualization in Vector Optimization
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Strong Vector Minimization and Duality
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Fundamentals of Multiobjective Optimization
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Duality in Multi-Objective Optimization
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On the Approximation of Solutions to Multiple Criteria Decision Making Problems
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Duality Theory in Vector Optimization: An Overview
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On Duality Theory Related to Approximate Solutions of Vector-Valued Optimization Problems
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Lagrange Duality and Its Geometric Interpretation
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Dual nonlinear programming problems in partially ordered Banach spaces
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On the existence and nonexistence of Lagrange multipliers in Banach spaces
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Duality for nonlinear multiple-criteria optimization problems
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Optimality conditions and constraint qualifications in Banach space
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Geometric consideration of duality in vector optimization
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Strong duality for infinite-dimensional vector-valued programming problems
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A survey of vector optimization in infinite-dimensional spaces, part 2
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Optimization theory in linear spaces
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Optimization theory in linear spaces
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Differential games with nonzero sum (cooperative variant)
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Modified regularity conditions for nonlinear programming problems over mixed cone domains
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Geometry of optimality conditions and constraint qualifications
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Der Sattelpunktsatz von Kuhn und Tucker in Geordneten Vektorräumen
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A multivalued approach to the Farkas lemma
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Feasible Perturbations of Control Systems with Pure State Constraints and Applications to Second-Order Optimality Conditions
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A duality theorem for a convex programming problem in order complete vector lattices
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Subdifferential calculus for convex operators
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Necessary conditions of nondominated solutions in multicriteria decision making
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Optimization in Banach spaces
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A selection principle with applications in convex analysis and optimization
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Smooth Optimization Problems. Saddle Point Conditions
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Necessary Conditions for the Optimality in Optimum Control Problems with Nonscalar-Valued Performance Criterion
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Multicriterial Game-Theoretic Problems of Control for Systems with Incomplete Information
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Necessary and sufficient conditions for differentiable nonscalar-valued functions to attain extrema
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An algorithm for bicriteria optimization based on the sensitivity function
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Saddle-Point Optimality Criteria of Nonlinear Programming Problems over Cones without Differentiability
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Weak Tangent Cones and Optimization in a Banach Space
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On constraint qualifications: Motivation, design and inter-relations
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