Convex Analysis (AN11): Διαφορά μεταξύ των αναθεωρήσεων

Αναθεώρηση της 18:27, 13 Νοεμβρίου 2022

Graduate Courses Outlines - Department of Mathematics

General

School	School of Science
Academic Unit	Department of Mathematics
Level of Studies	Graduate
Course Code	AN11
Semester	2
Course Title	Convex Analysis
Independent Teaching Activities	Lectures (Weekly Teaching Hours: 3, Credits: 7.5)
Course Type	Specialized general knowledge
Prerequisite Courses	Real Analysis, Calculus I and Calculus II
Language of Instruction and Examinations	Greek
Is the Course Offered to Erasmus Students	Yes (in English)
Course Website (URL)	See eCourse, the Learning Management System maintained by the University of Ioannina.

Learning Outcomes

Learning outcomes	The course aims to an introduction to convex analysis at graduate level. Material varies from classical topics on convex analysis to recent research problems. The students should: get knowledge on issues from a wide area of topics on convex analysis, aim ability to start research on problems on the theory of convex analysis, and, be introduced to the literature on problems in the area of convex analysis that he/she was taught.
General Competences	Working independently. Team work. Production of free, creative and inductive thinking. Production of analytic and synthetic thinking. Search for, analysis and synthesis of data and information, with the use of the necessary technology. Get in touch with specialized knowledge and evolve abilities for comparing, obtaining and evaluating results on the specific area of interest.

Syllabus

Basic notions. Convex functions and convex sets, convexity criteria. Normed spaces. Dual spaces and the Legendre transform. The Caratheodory Theorem and its applications to geometry. Radon’s and Helly’s theorems. Minkowski’s First theorem and its applications to Optimization Theory. The concentration of measure phenomenon on the sphere. Dvoretzky’s theorem and the Quotient of Subspace theorem. The Brunn-Minkowski inequality and its generalizations (Lp variants and functional forms). Mixed volumes and inequalities of Aleksandrov-Fenchel type. Inequalities of isoperimetric type (e.g. the classical isoperimetric inequality and the Blaschke-Santalo inequality). The Brascamp-Lieb inequality and reverse isoperimetric inequalities. Area measures of convex hypersurfaces. The Minkowski Existence and Uniqueness problem and its generalizations, applications to the Theory of Monge-Ampere equations. Classical open problems.

Teaching and Learning Methods - Evaluation

Delivery

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Use of Information and Communications Technology

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Teaching Methods

Activity	Semester Workload
Lectures	39
ΧΧΧ	000
ΧΧΧ	000
Course total	187.5

Student Performance Evaluation

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Attached Bibliography

Πρότυπο:MAM199-Biblio

@@ Γραμμή 68: / Γραμμή 68: @@
 === Syllabus ===
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+Basic notions. Convex functions and convex sets, convexity criteria. Normed spaces. Dual spaces and the Legendre transform. The Caratheodory Theorem and its applications to geometry. Radon’s and Helly’s theorems. Minkowski’s First theorem and its applications to Optimization Theory. The concentration of measure phenomenon on the sphere. Dvoretzky’s theorem and the Quotient of Subspace theorem. The Brunn-Minkowski inequality and its generalizations (Lp variants and functional forms). Mixed volumes and inequalities of Aleksandrov-Fenchel type. Inequalities of isoperimetric type (e.g. the classical isoperimetric inequality and the Blaschke-Santalo inequality). The Brascamp-Lieb inequality and reverse isoperimetric inequalities. Area measures of convex hypersurfaces. The Minkowski Existence and Uniqueness problem and its generalizations, applications to the Theory of Monge-Ampere equations. Classical open problems.
 === Teaching and Learning Methods - Evaluation ===