Energy Efficient Algorithms From Routing to Pricing and Learning: Why Are They Hard to Compute? Computation of Equilibrium Prices Rule-based Product Confi guration Approximation Algorithms for Profi t-maximizing [...] t-maximizing Pricing Problems Query Complexity: From Theory of Evolutionary Algorithms to Mastermind Optimality in Matching Problems
polyhedral theory will be introduced. The simplex algorithm and the ellipsoid method will be presented. The lecture concludes with exact and approximation algorithms for NP-hard optimization problems. There will [...] computational hardness: approximation, moderately exponential-time, and parameterized algorithms (external) Geometric algorithms with limited resources Optimization [...] Research Departments Algorithms and Complexity Teaching Summer 2021 Optimization Optimization Core Course, 4+2 Basic Information Lecturer: Andreas Karrenbauer Lectures: Wednesday + Thursday, 14:00 - 16:00
polyhedral theory will be introduced. The simplex algorithm and the ellipsoid method will be presented. The lecture concludes with exact and approximation algorithms for NP-hard optimization problems. There will [...] Research Departments Algorithms and Complexity Teaching Summer 2022 Optimization Optimization Core Course, 4+2 Basic Information Lecturer: Andreas Karrenbauer Lectures: Wednesday + Thursday, 14:00 - 16:00 [...] 18:00 (online) Credits: 9 Prerequisites: Basics in linear algebra, discrete mathematics, calculus, algorithms, and complexity. At Saarland University these topics are covered in the bachelor courses Mathematik
polyhedral theory will be introduced. The simplex algorithm and the ellipsoid method will be presented. The lecture concludes with exact and approximation algorithms for NP-hard optimization problems. There will [...] Tsitsiklis. Distributed and Sequential Graph Algorithms Fine-Grained Complexity Theory Introduction to Boolean Function Complexity Reading Group Algorithms Optimization Keeping Time in Distributed Systems [...] Research Departments Algorithms and Complexity Teaching Summer 2019 Optimization Optimization Core Course, 4+2 Basic Information Lecturer: Andreas Karrenbauer Lectures: Tuesday + Thursday, 14:00 - 16:00
polyhedral theory will be introduced. The simplex algorithm and the ellipsoid method will be presented. The lecture concludes with exact and approximation algorithms for NP-hard optimization problems. There will [...] Bertsimas and John N. Tsitsiklis. Optimization Approximation Algorithms Introduction to Geometric Complexity Theory Reading Group Algorithms [...] Research Departments Algorithms and Complexity Teaching Optimization Optimization Core Course, 4+2 Basic Information Lecturer: Andreas Karrenbauer Lectures: Tuesday + Thursday, 14:00 - 16:00, E1.3 HS003;
and John N. Tsitsiklis. Computational Geometry Optimization Parameterized Algorithms Reading Group Algorithms Sublinear Algorithms [...] polyhedral theory will be introduced. The simplex algorithm and the ellipsoid method will be presented. The lecture concludes with exact and approximation algorithms for NP-hard optimization problems. There will [...] Research Departments Algorithms and Complexity Teaching Summer 2020 Optimization Optimization Core Course, 4+2 Basic Information Lecturer: Andreas Karrenbauer Lectures: Wednesday + Thursday, 14:00 - 16:00
polyhedral theory will be introduced. The simplex algorithm and the ellipsoid method will be presented. The lecture concludes with exact and approximation algorithms for NP-hard optimization problems. There will [...] cycle canceling algorithm Chapter 7.3, 7.4 in [BT] , Chapter 3.3 in [W] Sheet 11 , Solution 11 Slides Jun 28 Max Flow, Min Cut, Matching Chapter 7.5 in [BT] Script Jul 3 Approximation algorithms, Matching vs [...] Research Departments Algorithms and Complexity Teaching Summer 2018 Optimization Optimization Core Course, 4+2 Basic Information Lecturer: Andreas Karrenbauer Lectures: Tuesday + Thursday, 14:00 - 16:00
polytopes Slides , [ S ] Chapter 25 6 July Approximation Algorithms Assignment 12 11 July Approximation Algorithms 13 July Approximation Algorithms for MAXCUT: Randomized Partition; Local Search; SDP Rounding [...] Theory of Polynomial-Time Problems Randomized Algorithms and Probabilistic Analysis of Algorithms Mathematik für Informatiker 2 Reading Group Algorithms State of the Art Linear Programming Theory [...] optimization. This year, we plan to cover the following topics: Approximation Algorithms, Fixed Parameter Tractable (FPT) Algorithms, and Matroid Theory. Schedule Date Topic Reference Homework Note 20 Apr
Research Departments Algorithms and Complexity Teaching Winter 2019/20 Optimization and Entrepreneurship Optimization and Entrepreneurship Seminar Basic Information Given by: Andreas Karrenbauer Time:
Wrap-Up Slides Literature Algorithms and Data Structures Approximation Algorithms Theory of Distributed Systems Ideen und Konzepte der Informatik Reading Group AlgorithmsAlgorithmic Lower Bound Techniques [...] Research Departments Algorithms and Complexity Teaching Optimization and Entrepreneurship Optimization and Entrepreneurship Seminar Basic Information Given by: Andreas Karrenbauer Time: Tuesday, 2:15 PM
