Course

MATH-456: Numerical analysis and computational mathematics

Summary

The course provides an introduction to scientific computing. Several numerical methods are presented for the computer solution of mathematical problems arising in different applications. The software MATLAB is used to solve the problems and verify the theoretical properties of the numerical methods.

Lectures

Instructor

Laura Grigori

Expertise Numerical linear algebra, deterministic and randomized algorithmsHigh performance computing for scientific applicationsHigh dimensional problems and tensor computationsApplications in astrophysics, molecular simulations, etcCombinatorial scientific computingMathematical Software Teaching & PhD PhD Students Israa Fakih, Zhipeng Xue, Andrea Di Antonio, Mariana Graciela Martinez Aguilar, Guifré Sánchez i Serra Courses Numerical analysis and computational mathematics MATH-456 The cou

Official source

https://edu.epfl.ch/coursebook/en/numerical-analysis-and-computational-mathematics-MATH-456

Moodle Page

http://go.epfl.ch/MATH-456

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Summary

Lectures

Instructor

Laura Grigori

Official source

https://edu.epfl.ch/coursebook/en/numerical-analysis-and-computational-mathematics-MATH-456

Moodle Page

http://go.epfl.ch/MATH-456

About this result

Lectures in this course (2)

Floating point numbers

Covers the concept of floating point numbers and their representation in computer systems.

Introduction to Numerical Analysis

Covers the basics of numerical analysis, including adaptive feature computation, residual analysis, and the importance of well-posed problems.

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