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Optimization

Code: M4045     Acronym: M4045

Keywords
Classification Keyword
OFICIAL Mathematics

Instance: 2018/2019 - 1S Ícone do Moodle

Active? Yes
Responsible unit: Department of Mathematics
Course/CS Responsible: Master in Mathematical Engineering

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
M:A_ASTR 4 Plano de Estudos oficial desde_2013/14 1 - 6 56 162
2
M:ENM 14 Official Study Plan since 2013-2014 1 - 6 56 162

Teaching language

Suitable for English-speaking students

Objectives

The course aims to introduce n aa rigorous the optimization theory (linear and nonlinear), variational calculus and theory of control. The fundamental concepts of these areas are addressed, as well as the most important mathematical tools for its analysis.

 

Learning outcomes and competences

The aim is for students to acquire skills in algorithmic modeling and solving real situations common in many scientific and economic activities.

 

Working method

Presencial

Program

Linear optimization problems.
Non-linear optimization problems.
Problems with and without constraints.

Introduction to the calculus of variations. Euler-Lagrange formula.

Differential equations depending on controls. State variables and control variables. Presentation of some control problems. The maximum theorem of Pontryagin.

Mandatory literature

Jensen Paul A.; Operations research. ISBN: 0-471-38004-0
Krasnov M. L.; Cálculo variacional
Smirnov Gueorgui; Curso de optimização. ISBN: 972-592-175-5
Levi Mark 1951-; Classical mechanics with calculus of variations and optimal control. ISBN: 9780821891384
Bazaraa Mokhtar S.; Linear programming and network flows. ISBN: 0-471-06015-1
Pontriaguine L.; Théorie mathématique des processus optimaux

Teaching methods and learning activities

Teaching using various models in spreadsheets (Excel). Analysis of case studies displayed by students in class.

Use/presentation of optimization software (Mathematica, Matlab, Python, ...).

Software

Excel 2010 com add-ins fornecidos pelo docente

keywords

Physical sciences > Mathematics > Applied mathematics

Evaluation Type

Distributed evaluation without final exam

Assessment Components

designation Weight (%)
Participação presencial 0,00
Teste 100,00
Total: 100,00

Amount of time allocated to each course unit

designation Time (hours)
Estudo autónomo 110,00
Frequência das aulas 52,00
Total: 162,00

Eligibility for exams

Not applicable.

Calculation formula of final grade

(1) Students are approved provided they obtain a grade equal or higher than 9,5 = sum of the total score of the two tests to be held throughout the semester, with a minimum of four (4) values for each test.


(2) The second season exam has two parts corresponding to the division of the topics of the course for the two midterm tests.


(3) A student wishing to improve his/her classification can do one or both of the two parts of the exam. If he delivers one (or both parts) for grading, then the classification obtained substitutes the corresponding grades obtained in the midterm test(s).

 

Special assessment (TE, DA, ...)

The tests required under special statutes contain a written test which may be preceded by an oral round, to assess whether the student is in a position of trying to get approved minimum discipline in the written test.

 

Classification improvement

Grade improvement will be made in consideration of the time for appeal.

 

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