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Convex set
On Quasi Norm Attaining Operators Between Banach Spaces
POLARS and DUAL CONES 1. Convex Sets
On the Ekeland Variational Principle with Applications and Detours
The Ekeland Variational Principle, the Bishop-Phelps Theorem, and The
Chapter 5 Convex Optimization in Function Space 5.1 Foundations of Convex Analysis
Non-Linear Inner Structure of Topological Vector Spaces
Convex Sets and Convex Functions 1 Convex Sets
The Krein–Milman Theorem a Project in Functional Analysis
On the Variational Principle
Convex Sets, Functions, and Problems
Some Characterizations and Properties of the \Distance
ECE 586: Vector Space Methods Lecture 22: Projection Onto Convex Sets
Extreme Points and the Krein–Milman Theorem
Topological Vector Spaces and Continuous Linear Functionals
Analysis of Convex Sets and Functions
4.2 Connection to Seminorms
1. Topological Vector Spaces
Convex Analysis in Normed Spaces and Metric Projections Onto
Top View
Locally Convex Vector Spaces I: Basic Local Theory
Lecture 3 Convex Functions
Locally Convex Topological Vector Spaces
Köthe's Example of an Incomplete Lb-Space J
On Complex Strictly Convex Spaces, I
Lecture 5: September 10 5.1 Convex Sets
Compact Convex Sets and Complex Convexity
A Convexity Primer
Convexity I: Sets and Functions
Lecture 3: September 4 3.1 Convex Sets
Notes for Functional Analysis
1 Convex Sets, and Convex Functions
When Is a Set of Lines in Space Convex?
1 Separating Hyperplane Theorems
Lecture 4: Convexity 4.1 Basic Definitions
Some Convergence Properties of Minkowski Functionals Given by Polytopes
Pointwise Bornological Vector Spaces
2. Convex Sets
Kahane-Khinchin's Inequality for Quasi-Norms
On Choquet's Theorem
On the Boundary of Closed Convex Sets in En
Lecture Notes Functional Analysis WS 2012/2013
Fundamentals of Convex Analysis Theory and Decision Library
3. Topological Vector Spaces
CONVEXITY and OPTIMIZATION 1.1. Definition of a Convex Set. a Set
Topological Vector Spaces
Evolution Problem Associated with a Moving Convex Set in a Hilbert Space Jean Jacques Moreau
Locally Convex Vector Spaces III: the Metric Point of View
On Strictly Convex and Strictly Convex According to an Index Semi-Normed Vector Spaces
Convexity and Optimization
Variational Methods in Convex Analysis 1
Order Bornological Spaces and Order Ultrabornological Spaces
Projection Methods for Uniformly Convex Expandable Sets
Chapter 3 Basic Properties of Convex Sets
Lp Quasi-Norm Minimization
Conic Duality
Topic 1: Convex Sets and Functions
Arxiv:1202.5346V1 [Math.FA]
Some Basic Topological and Algebraic Properties of Convex Sets in What
Versions of the Ekeland Variational Principle for Approximate Henig
1 Theory of Convex Functions
Lecture 1 Convex Sets
Convex Optimization in Normed Spaces
Analysis of Convex Sets and Functions
Matrix Analysis
Extreme Points in Non-Positive Curvature
The Hahn-Banach Separation Theorem and Other Separation Results
Convex Functions
THE KREIN-MILMAN THEOREM in OPERATOR CONVEXITY the Krein-Milman Theorem Is Without Doubt One of the Cornerstones of Functional A
L-Convex-Concave Sets in Real Projective Space and L-Duality*
Convex Sets February 4, 2019 University of Illinois at Urbana-Champaign