The course is also offered to the students of the fields other than those the course is directly associated with.
Fields of study the course is directly associated with
there are 19 fields of study the course is directly associated with, display
Course objectives
Basic graph algorithms are presented: searches, algorithms for minimal spanning trees, various algorithms for shortest paths and flows in nets.In all cases we prove the correctness and estimate the complexity.
Minimum spanning trees (growing a minimum spanning tree, the
algorithms of Kruskal and Prim).
Single-source shortest paths (shortest paths and relaxation, Dijkstra's
algorithm, the Bellman--Ford algorithm, single--source shortest paths
in directed acyclic graphs).
All-pairs shortest paths (shortest paths and matrix multiplication,
the Floyd-Warshall algorithm, Johnson's algorithm for sparse graphs).
Maximum flow (flow networks, the Ford-Fulkerson method, maximum
bipartite matching).
Data structures for graph algorithms (binary heaps, priority queues,
data structures for disjoint sets).
Literature
CORMEN, Thomas H., Charles E. LEISERSON and Ronald L. RIVEST. Introduction to algorithms. Cambridge: MIT Press, 1989. xvii, 1028. ISBN 0-07-013143-0. info
Assessment methods (in Czech)
Standardní přednáška. Ve cvičení studenti referují řešení předem zadaných úloh. Zkouška je písemná.