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Бакалавриат 2022/2023

Теория оптимизации

Направление: 38.03.01. Экономика
Когда читается: 3-й курс, 3, 4 модуль
Формат изучения: с онлайн-курсом
Онлайн-часы: 16
Охват аудитории: для своего кампуса
Язык: английский
Кредиты: 4
Контактные часы: 56

Course Syllabus

Abstract

This course covers two main classes of optimization theory: statistic optimization and dynamic optimization. The part of static optimization covers such topics as unconstraint optimization and constraint optimization. The part of dynamic optimization covers such topics as calculus of variation, optimal control and dynamic programming. Despite the name of the course, it contains the practical part with applications in R language.
Learning Objectives

Learning Objectives

  • To learn how various optimization problems can be solved
Assessment Elements

Assessment Elements

  • non-blocking home_assignments
  • non-blocking control work
  • non-blocking final exam
Interim Assessment

Interim Assessment

  • 2022/2023 4th module
    0.2 * control work + 0.6 * final exam + 0.2 * home_assignments
Bibliography

Bibliography

Recommended Core Bibliography

  • A first course in optimization theory, Sundaram, R. K., 2011

Authors

  • KANTOROVICH Grigorii GELMUTOVICH