Part IB - Numerical Analysis
Lectured by G. Moore, Lent 2016
These notes are not endorsed by the lecturers, and I have modified them (often significantly) after lectures. They are nowhere near accurate representations of what was actually lectured, and in particular, all errors are almost surely mine.
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Contents
- V Full version
- 0 Introduction
- 1 Polynomial interpolation
- 1.1 The interpolation problem
- 1.2 The Lagrange formula
- 1.3 The Newton formula
- 1.4 A useful property of divided differences
- 1.5 Error bounds for polynomial interpolation
- 2 Orthogonal polynomials
- 2.1 Scalar product
- 2.2 Orthogonal polynomials
- 2.3 Three-term recurrence relation
- 2.4 Examples
- 2.5 Least-squares polynomial approximation
- 3 Approximation of linear functionals
- 4 Expressing errors in terms of derivatives
- 5 Ordinary differential equations
- 6 Stiff equations
- 7 Implementation of ODE methods
- 8 Numerical linear algebra
- 9 Linear least squares