Randomized algorithms (Longest Path, SAT) Probabilistic methods (Random Graphs without induced cliques/independent sets of size k) Linearity of expectation. Coupon Collector problem ; 7/8-approximation algorithm for Max-3-SAT ; Markov and Chebyshev inequalities. Random graphs ; Calculating the median … Visa mer Yassir Akram, Frederik Benzing, Charlotte Knierim, Maxime Larcher, Lukas Lötscher, Dr. Anders Martinsson, Dr. Raphael Steiner and Nicolas Zucchet If … Visa mer Students of Computer Science or Mathematics in the 5th semester or later. Knowledge of topics covered in the lecture "Algorithms, Probability, and Computing" is not required; both courses can be attended in parallel. Visa mer Lecture: Wednesday 8:15 - 9:00 in ML D 28 and Thursday 16:15 - 18:00 in ML D 28. Exercise Class:You can attend one of the two following exercise … Visa mer Your final grade will be calculated as the the weighted average of: 1. 70% final written exam.Duration: 3 hours. Open book exam - you are allowed … Visa mer Webb17 okt. 2024 · APC 2024 (Theory of Combinatorial Algorithms, ETH Zürich) Algorithms, Probability, and Computing (2024) Exams, Special Assignments and Grading There will be a written midterm exam and a written final exam . Furthermore, there will be two mandatory special assignments (SPAs), the solution of which is due two weeks later.
Algorithmic Game Theory – Algorithms, Data Structures ... - ETH …
WebbDistributed Graph Algorithms Computer Science, ETH Zurich Mohsen Ghaffari These are draft notes, used as supplementary material for the “Principles of Distributed Computing” … WebbFor many applications a randomized algorithm is either the simplest algorithm available, or the fastest, or both. This tutorial presents the basic concepts in the design and analysis … honda snow blower with trax
Prof. Dr. Angelika Steger ETH Zurich
Webb28 aug. 2024 · Of particular interest are information-theoretic lower bounds, that is, bounds that do not make any assumptions on the actual information that is supplied, but only on its quantity, and connections to related models such as randomized computations and machine learning. WebbETH Zürich. ... - Implemented simulations of machine learning algorithms based on spiking neuronal dynamics in Python and C++ ... Randomized Algorithms and Probabilistic Methods - WebbRainer Kemp, Fundamentals of the Average Case Analysis of Particular Algorithms, Wiley-Teubner Series in Computer Science, (1984). Jiri Matousek, Geometric Discrepancy - An … honda snow blower track