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Graphs and Algorithms

Gráfok és algoritmusok
A tantárgyleírás hatályossága
Hatályosság kezdete:
2026. March 21.
Hatályosság vége:
Subject name (Hungarian, English)
Gráfok és algoritmusok
Graphs and Algorithms
Subject code BMEVISZA028
Subject type
Training Level
Course types and hours (weekly/semester)
Course type lecture tutorial laboratory
hours (weekly) 2 2 0
type (linked/independent) derived course
Assessment type vizsga
Credits 4
Subject coordinator
Fleiner Tamás
position: egyetemi tanár
Responsible department
Számítástudományi és Információelméleti Tanszék
Faculty Villamosmérnöki és Informatikai Kar
Subject website
Primary curriculum type
Direct prerequisites – Strong prerequisite none
Direct prerequisites – Weak prerequisite none
Direct prerequisites – Parallel prerequisite none
Direct prerequisites – Milestone prerequisite none
Direct prerequisites – Exclusion none

Objectives

Programme

Algorithmic proofs: greedy techniques, improving pahts, local improvements and elementary constructions

Stable matchings, the Gale-Shapley algorithm, lattice property of stable matchings. Applications: linking property of paths, Galvin's theorem, Alon-Tarsi theorem on the choosability of planar bipartite graphs, the Sands-Sauer-Woodrow theorem, kernels in acyclic digraphs.

Stable matchings on nonbipartite graphs: Irving's algorithm. Stable half-matchings and Scarf's lemma

Finding minimum cuts in graphs, the Nagamochi-Ibaraki algorithm (maxback order), simplicial graphs, simplicial vertices, list-colouring of simplicial graphs, Karger's algorithm

Representation of laminar families and of minimum cuts: the Gomory-Hu (cut equivalent) tree and the cactus-representation.

Tutte theorem, Tutte-Berge formula, Edmonds-Gallai structure theorem, factor critical graphs.

Lovász' theorem on splitting off, construction of 2k-edge-connected graphs, Nash-Williams'orientation theorem.

Circulations and flows. Hoffmann's theorem, algorithm for minimum-cost circulation.

Applications of the integrality lemma (edge-coloring of bipartite graphs, rounding property of flows and Baranyai's theorem).

This lecture intends to introduce areas that are closely connected to graph theory but usually do not fit into an introductory course. The algorithmic approach plays an important role in the solution of the studied problems.  

Learning outcomes

Ez a tantárgy a KKK rendeletben meghatározott, következő kompetenciák fejlesztését szolgálja:

Knowledge

No learning outcomes recorded.

Skills

No learning outcomes recorded.

Attitudes

No learning outcomes recorded.

Autonomy and responsibility

No learning outcomes recorded.

Oktatási módszertan

Two lectures and two  tutorials each week.

Tanulástámogató anyagok

Online források
R. Diestel: Graph Theory; András Frank: Connections in Combinatorial Optimization

Recommended preliminary knowledge for completing the subject

Knowledge type competencies
(azon előzetes ismeretek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
Basic graph theoretical notions and algorithm.
Skill type competencies
(azon előzetes képességek és készségek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
nincs
Recommended (non-compulsory) preliminary competencies
(azon ajánlott (nem kötelező) előzetesen megszerzendő kompetenciák összessége, amelyek jelentősen hozzájárulnak a tantárgy eredményes teljesítéséhez)
Basic graph theoretical notions and algorithm.
General rules
Requirements: In the semester: two midterm. The condition for the audit is that both midterms are succesful. In the exam season: oral exam for those that have a valid audit. The final grade is based 40% on the midterms and 60% on the oral exam. Additional possibilities: According to the general rules: one midterm can be repeated.
Assessment methods
In-term assessments

No detailed assessments provided.

Weight of in-term assessments

No weights provided.

Exam-period assessments

No detailed assessments provided.

Weight of exam elements

No weights provided.

Grade calculation

No grade thresholds provided.

Attendance requirements

No attendance requirements provided.

Rules for retake and resubmission

Not provided.

Short description

Not provided.

Detailed description

Not provided.

Recommended courses
Combinatorics and Graph Theory 1.        BMEVISZA025
Workload to complete the subject

No workload breakdown provided.

Validity of subject requirements
Requirements valid from:
Requirements valid until:
Curriculum placement

No curriculum placements recorded for this subject version.