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Numerical Analysis : Approximation, Interpolation, Integration [ LINMA2171 ]


5.0 crédits ECTS  30.0 h + 22.5 h   1q 

Teacher(s) Absil Pierre-Antoine ;
Language French
Place
of the course
Louvain-la-Neuve
Online resources

> https://icampus.uclouvain.be/claroline/course/index.php?cid=LINMA2171

Prerequisites

LFSAB1104 (Numerical methods)

Remark : LINMA2171 is the second part of a teaching programme in numerical analysis, of which LINMA1170 is the first part ; however, LINMA1170 is not a prerequisite for LINMA2171.

Main themes
  • Interpolation
  • Function approximation
  • Numerical integration
Aims
  • AA1.1, AA1.2, AA1.3

At the end of the course, the student will be able to:

  • Implement, in concrete problems, the basic knowledge required from an advanced user and a developer of numerical computing software;
  • Analyze in depth various methods and algorithms for numerically solving scientific or technical problems, related in particular to interpolation, approximation, and integration of functions.

Transversal learning outcomes :

  • Use a reference book in English;
  • Use programming languages for scientific computing.
Evaluation methods
  • Homeworks, exercises, or laboratory work during the course semester
  • Exam

Precisions are given in the course outline (plan de cours) available on iCampus > LINMA2171 > Documents et liens

Teaching methods
  • Lectures
  • Homeworks, exercises, or laboratory work under the supervision of the teaching assistants
Content
  • Polynomial interpolation: Lagrange's interpolation formula, Neville's algorithm, Newton's interpolation formula, divided differences, Hermite interpolation.
  • Interpolation by spline functions : cubic spline interpolation, B-splines.
  • Rational interpolation.
  • Trigonometric interpolation.
  • Orthogonal polynomials : Legendre polynomials, Chebyshev polynomials.
  • Polynomial minimax approximation : existence, de la Vallée-Poussin's theorem, equioscillation theorem, uniqueness, Chebyshev interpolation.
  • Polynomial approximation in the least-squares sense.
  • Numerical integration : Newton-Cotes formula, Gauss method.
  • Integration of differential equations : introduction to the finite element method.
  • Other topics related to the course themes.
Bibliography
  • Reference book
  • Complementary documents posted on iCampus

Precisions are given in the course outline (plan de cours) available on iCampus.

Cycle et année
d'étude
> Master [120] in Statistics: General
> Bachelor in Mathematics
> Master [120] in Mathematical Engineering
Faculty or entity
in charge
> MAP


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