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Бакалавриат 2026/2027

Теория оптимизации

Когда читается: 3-й курс, 2 семестр
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 also some practical part.
Learning Objectives

Learning Objectives

  • To learn how various optimization problems can be solved
Expected Learning Outcomes

Expected Learning Outcomes

  • a student can solve an unconstrained optimization problem
  • a student can solve a constrained optimization problem
  • a student can solve a calculus of variation problem
  • a student can solve an optimal control problem
  • a student can solve a dynamic programming problem
Course Contents

Course Contents

  • unconstrained optimization
  • constrained optimization
  • calculus of variation
  • optimal control
  • dynamic programming
Assessment Elements

Assessment Elements

  • non-blocking quiz 1
  • non-blocking midterm
  • non-blocking home assignments
  • non-blocking quiz 2
  • blocking final exam
    In order to get a passing grade for the course, the student must sit (all parts) of the final examination
Interim Assessment

Interim Assessment

  • 2026/2027 2nd semester
    0.5 * final exam + 0.1 * quiz 1 + 0.1 * quiz 2 + 0.1 * home assignments + 0.2 * midterm
Bibliography

Bibliography

Recommended Core Bibliography

  • A first course in optimization theory, Sundaram, R. K., 2011
  • Elements of dynamic optimization, Chiang, A. C., 1992

Recommended Additional Bibliography

  • Методы оптимизации : учебник и практикум для бакалавриата и магистратуры, Сухарев, А. Г., 2016

Authors

  • Piontkovskii Dmitrii Igorevich