SubjectsSubjects(version: 845)
Course, academic year 2018/2019
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Stochastic Programming and Approximation - NMEK615
Title in English: Stochastické programování a aproximace
Guaranteed by: Department of Probability and Mathematical Statistics (32-KPMS)
Faculty: Faculty of Mathematics and Physics
Actual: from 2018
Semester: both
E-Credits: 2
Hours per week, examination: 0/2 C [hours/week]
Capacity: unlimited
Min. number of students: unlimited
State of the course: taught
Language: Czech
Teaching methods: full-time
Note: you can enroll for the course repeatedly
you can enroll for the course in winter and in summer semester
Guarantor: doc. RNDr. Petr Lachout, CSc.
Class: Pravděp. a statistika, ekonometrie a fin. mat.
Classification: Mathematics > Probability and Statistics
Annotation -
Last update: T_KPMS (06.05.2014)
Research seminar for PhD students.
Aim of the course -
Last update: T_KPMS (06.05.2014)

The objective is (i) getting a view of new trends and new results in stochastic programming and its applications, (ii) discussing the results of the participants before a qualified auditory,

(iii) preparing presentations for conferences and publications.

Course completion requirements -
Last update: doc. RNDr. Petr Lachout, CSc. (11.10.2017)

The course is finalized by receiving a credit.

Conditions for receiving a credit are:

  • Active attendances.
  • Presentation of a contribution.

Attempt to receive a credit cannot be repeated.

Literature -
Last update: T_KPMS (29.04.2015)

According to the chosen topic.

Teaching methods -
Last update: T_KPMS (06.05.2014)

Seminar.

Entry requirements -
Last update: doc. RNDr. Petr Lachout, CSc. (30.05.2018)

measure and integration theory, probability theory, functional analysis, optimization theory, convex analysis

 
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