FI:I063 Design of Algorithms II - Course Information
I063 Design of Algorithms II
Faculty of InformaticsSpring 1998
- Extent and Intensity
- 2/0. 2 credit(s). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
- Teacher(s)
- prof. RNDr. Ivana Černá, CSc. (lecturer)
- Guaranteed by
- Contact Person: prof. RNDr. Ivana Černá, CSc.
- Prerequisites
- Before enrolling this course the students should go through I002 Design of Algorithms I and M010 Combinatorics and Graph Theory.
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Informatics (programme FI, B-IN)
- Informatics (programme FI, M-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-SS)
- Information Technology (programme FI, B-IN)
- Syllabus
- Complexity of algorithms -- worst-case and average-case analysis, amortized analysis.
- Advanced analysis techniques -- the aggregate method, the accounting method, the potential method. Applications in designing effective data structures.
- Advanced design techniques -- divide et impera, dynamic programming, greedy algorithms. Theoretical foundations and applications.
- Selected topics -- matrix operations (decomposition and inverting matrices), polynomials and the FFT, string matching (the Knuth-Morris-Pratt algorithm, the Boyer-Moore algorithm).
- The design of randomized algorithms -- expected vs. average running time. Las Vegas and Monte Carlo algorithms. Input randomization, random search, control randomization, symetry breaking. Examples.
- The design of approximation algorithms -- relative approximation, approximation schemes. Applications: graph covering, traveling-salesman problem, scheduling, set covering, string matching.
- Online algorithms and competitive analysis. Proof techniques -- potential functions, Yao's minimax principle.
- Language of instruction
- Czech
- Teacher's information
- http://www.fi.muni.cz/usr/cerna/i063.html
- Enrolment Statistics (Spring 1998, recent)
- Permalink: https://is.muni.cz/course/fi/spring1998/I063