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        <title>courses:ko:labs</title>
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        <description>Labs

The goal of the labs is to exercise the topics presented on lectures.

On some labs you will receive homework assignment, which are implementation of an algorithm or a method solving some interesting combinatorial optimization problem. In all cases, the solutions to homework assignments are submitted to</description>
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        <description>Semester Project

During the semester each student will work on a semester project. There are two different types of semester projects and each student has to choose one of them.

	*  Contest: all students participating in the contest will implement a solver for one specific combinatorial optimization problem. The students' solvers will be tested in Brute on a set of instances. The goal is to find the best solutions (with respect to objective function) for the given instance in specified time li…</description>
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        <description>B4M35KO+BE4M35KO - Combinatorial Optimization

Lecturer:  Zdeněk Hanzálek

Lab teachers:   Ondřej Benedikt,
 Vilém Heinz
 Antonín Novák and  Theodor Krocan

Brute
Distance Learning

CourseWareYoutubeCourseWareYouTube channel
Exam results
[ 03-09-2021]
Course overview


This course is focusing on the problems and algorithms of combinatorial optimization (often called discrete optimization). Following the courses on linear algebra, graph theory, and basics of optimization, we show optimization tec…</description>
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        <description>Brute

Solutions to homework and contest semester project are submitted to Brute where they are automatically checked and evaluated (the research semester project is also submitted to Brute, however it is evaluated manually by the corresponding lab teacher). General information about the Brute</description>
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