SubjectsSubjects(version: 945)
Course, academic year 2016/2017
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Shape and Material Optimisation 2 - NMOD205
Title: Tvarová a materiálová optimalizace 2
Guaranteed by: Department of Numerical Mathematics (32-KNM)
Faculty: Faculty of Mathematics and Physics
Actual: from 2013 to 2017
Semester: summer
E-Credits: 3
Hours per week, examination: summer s.:2/0, Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: not taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Guarantor: prof. RNDr. Jaroslav Haslinger, DrSc.
Classification: Mathematics > Numerical Analysis
Interchangeability : NMNV542
Is incompatible with: NMNV542
Is interchangeable with: NMNV542
Annotation -
Last update: T_KNM (11.05.2006)
Mathematical analysis of sizing, shape and material optimization problems.
Aim of the course -
Last update: HASLING/MFF.CUNI.CZ (30.04.2008)

To get basic knowledge of the mathematical theory of shape optimization. Application of theoretical results to industrial problems.

Literature - Czech
Last update: T_KNM (19.05.2008)

J. Haslinger, P. Neittaanmäki: Finite Element Approximation for Optimal Shape, Material and Topology Design. 2nd edition John Willey, 1996

J. Haslinger, R. Mäkinen: Introduction to Shape Optimization, Theory, Approximation, and Computation, SIAM 2003

Teaching methods -
Last update: T_KNM (19.05.2008)

Lectures in a lecture room.

Requirements to the exam -
Last update: prof. RNDr. Jaroslav Haslinger, DrSc. (08.10.2017)

Examination according to the syllabus.

Syllabus -
Last update: T_KNM (19.05.2008)

Sensitivity analysis in optimal shape design problems:

sensitivity analysis of solutions to systems of linear algebraic equations;

derivatives of solution to PDEs and of cost functionals with respect to coefficients of PDEs;

derivatives of solutions to PDEs and of cost functionals with respect to shapes of domains: material and shape derivative.

Optimality conditions.

Entry requirements -
Last update: T_KNM (19.05.2008)

Basic knowledge of modern methods in PDE´s.

 
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