Numerical Analysis : Approximation, Interpolation, Integration [ LINMA2171 ]
5.0 crédits ECTS
30.0 h + 22.5 h
1q
Teacher(s) |
Absil Pierre-Antoine ;
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Language |
French
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Place of the course |
Louvain-la-Neuve
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Online resources |
> https://icampus.uclouvain.be/claroline/course/index.php?cid=LINMA2171
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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.
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Main themes |
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Interpolation
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Function approximation
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Numerical integration
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Aims |
At the end of the course, the student will be able to:
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Implement, in concrete problems, the basic knowledge required from an advanced user and a developer of numerical computing software;
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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 :
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Use a reference book in English;
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Use programming languages for scientific computing.
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Evaluation methods |
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Homeworks, exercises, or laboratory work during the course semester
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Exam
Precisions are given in the course outline (plan de cours) available on iCampus > LINMA2171 > Documents et liens
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Teaching methods |
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Lectures
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Homeworks, exercises, or laboratory work under the supervision of the teaching assistants
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Content |
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Polynomial interpolation: Lagrange's interpolation formula, Neville's algorithm, Newton's interpolation formula, divided differences, Hermite interpolation.
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Interpolation by spline functions : cubic spline interpolation, B-splines.
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Rational interpolation.
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Trigonometric interpolation.
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Orthogonal polynomials : Legendre polynomials, Chebyshev polynomials.
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Polynomial minimax approximation : existence, de la Vallée-Poussin's theorem, equioscillation theorem, uniqueness, Chebyshev interpolation.
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Polynomial approximation in the least-squares sense.
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Numerical integration : Newton-Cotes formula, Gauss method.
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Integration of differential equations : introduction to the finite element method.
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Other topics related to the course themes.
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Bibliography |
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Reference book
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Complementary documents posted on iCampus
Precisions are given in the course outline (plan de cours) available on iCampus.
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Cycle et année d'étude |
> Master [120] in Statistics: General
> Bachelor in Mathematics
> Master [120] in Mathematical Engineering
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Faculty or entity in charge |
> MAP
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