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Stochastic Programming and Approximation - NMEK615

Title:	Stochastické programování a aproximace
Guaranteed by:	Department of Probability and Mathematical Statistics (32-KPMS)
Faculty:	Faculty of Mathematics and Physics
Actual:	from 2018 to 2024
Semester:	both
E-Credits:	2
Hours per week, examination:	0/2, C [HT]
Capacity:	unlimited
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
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.
Teacher(s):	doc. RNDr. Petr Lachout, CSc.
Class:	Pravděp. a statistika, ekonometrie a fin. mat.
Classification:	Mathematics > Probability and Statistics
Is interchangeable with:	NSTP134

Opinion survey results Examination dates WS schedule SS schedule Noticeboard

Annotation -

Research seminar for PhD students.

Last update: T_KPMS (06.05.2014)

Aim of the course -

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.

Last update: T_KPMS (06.05.2014)

Course completion requirements -

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Course finalization

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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.

Last update: Lachout Petr, doc. RNDr., CSc. (14.02.2024)

Literature -

According to the chosen topic.

Last update: T_KPMS (29.04.2015)

Teaching methods -

Seminar.

Last update: T_KPMS (06.05.2014)

Entry requirements -

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

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