Algorithm Engineering (SS 2021)

Lecture

In assignment sheet 03 a missing sentence was added.

Lectures and tutorials will take place electronically.

  • Lectures will begin on 13.4. (Tuesday) at 12 ct.
  • Lectures and tutorials will be held live via screen sharing at the below mentioned times.
  • Access links to the streams will be available in Moodle using your HRZ-account. If you do not have an HRZ-account please contact Hung Tran.

By mutual agreement, the language of instruction can be changed to German.

In this semester communication will take place via website and e-mails. Please take a look at this website regularly. When sending e-mails to us please use your student e-mail address if possible. In the past, we experienced issues where messages ended in the junk folder.

Prof. Dr. Ulrich Meyer

Tuesday 12:00 - 14:00
Wednesday 12:00 - 14:00

Office hours: By appointment

Tutorials

Hung Tran

Manuel Penschuck

Friday 16:00 - 18:00

Office hours: By appointment

Organisation of tutorials

We will issue problem sheets weekly on Tuesday; you have one week to complete the assignments and hand them in before Tuesday’s lecture electronically. Details will follow. The solutions will then be discussed in the following tutorial. The rules on bonification depend on the type of exam which will be announced in the near future. Working in groups is recommended however if assignments are found to have been plagiarized we remove all points from the assignment on the first occurrence and the whole bonification on the second occurrence.

Language

The lecture is held in English. By mutual agreement, the language of instruction can be changed to German, too.

You can solve the assignments in German or in English.

Content

Algorithm engineering applies development cycles with a close coupling of design, analysis, implementation, and experimental evaluation in order to narrow the gap between theory and practice. A subset of the following topics will be covered in the lecture:

  • Realistic input models including average-case complexity and smoothed analysis.
  • Realistic machine models (e.g., memory hierarchies).
  • Heuristics and experimental evaluation.
  • Robustness, e.g., certifying algorithms, exact arithmetic.
  • Case studies and algorithm libraries.

Exam

The exam type is to be determined.

Materials

Lecture notes and extra material

Lectures

LectureDateNotesRecordingTopics
113.04.NotesRecordingIntroduction
214.04.NotesRecordingMotivation
320.04.NotesRecordingBeyond Efficiency
421.04.NotesRecordingModelling Sudoku
527.04.NotesRecordingSSSP Basic & Refined Algorithm
528.04.NotesRecordingSSSP Dijkstra
504.05.NotesRecordingSSSP Dijkstra II
505.05.NotesRecordingSSSP Glob-Criterion, ABI-Dijkstra

Assignments

Assignments Algorithm Engineering

DownloadIssuedDueFiles
Assignment 120.04.27.04. 12 PM 
Assignment 227.04.04.05. 12 PM 
Assignment 304.05.11.05. 12 PMtemplate, sudoku_3.txt, sudoku_4.txt
Assignment 411.05.18.05. 12 PMtemplate