This course offers an advanced introduction to numerical linear algebra. Topics include direct and iterative methods for linear systems, eigenvalue decompositions and QR/SVD factorizations, stability and accuracy of numerical algorithms, the IEEE floating point standard, sparse and structured matrices, preconditioning, linear algebra software. Problem sets require some knowledge of MATLAB®.

Dates:

- Free schedule

More on this topic:

Abstract Algebra

Algebra is the language of modern mathematics. This course introduces students...

Algebra is the language of modern mathematics. This course introduces students...

Introduction to Numerical Analysis (Spring 2012)

This course analyzed the basic techniques for the efficient numerical solution...

This course analyzed the basic techniques for the efficient numerical solution...

Special Topics in Mathematics with Applications: Linear Algebra and the Calculus of Variations

This course forms an introduction to a selection of mathematical topics that...

This course forms an introduction to a selection of mathematical topics that...

Massively Multivariable Open Online Calculus Course

M2O2C2 provides a first taste of multivariable differential calculus. By introducing...

M2O2C2 provides a first taste of multivariable differential calculus. By introducing...

Numerical Computation for Mechanical Engineers

This class introduces elementary programming concepts including variable types...

This class introduces elementary programming concepts including variable types...

More from 'Mathematics, Statistics and Data Analysis':

Convex Optimization

This course concentrates on recognizing and solving convex optimization problems...

This course concentrates on recognizing and solving convex optimization problems...

Bias and Discrimination in AI

Discover how even computer algorithms may be biased and have a serious impact...

Discover how even computer algorithms may be biased and have a serious impact...

Deep Learning Essentials

Do you want to learn how machines can learn tasks we thought only human brains...

Do you want to learn how machines can learn tasks we thought only human brains...

Machine Learning with Python: A Practical Introduction

Machine Learning can be an incredibly beneficial tool to uncover hidden insights...

Machine Learning can be an incredibly beneficial tool to uncover hidden insights...

Deep Learning Explained

Learn an intuitive approach to building the complex models that help machines...

Learn an intuitive approach to building the complex models that help machines...

More from 'MIT OpenCourseWare':

Introduction to Computers and Engineering Problem Solving

This course presents the fundamentals of object-oriented software design and...

This course presents the fundamentals of object-oriented software design and...

Uncertainty in Engineering

This course gives an introduction to probability and statistics, with emphasis...

This course gives an introduction to probability and statistics, with emphasis...

Project Evaluation

1.011 Project Evaluation covers methodologies for evaluating civil engineering...

1.011 Project Evaluation covers methodologies for evaluating civil engineering...

Introduction to Civil Engineering Design

1.012 introduces students to the theory, tools, and techniques of engineering...

1.012 introduces students to the theory, tools, and techniques of engineering...

Computing and Data Analysis for Environmental Applications

This subject is a computer-oriented introduction to probability and data analysis...

This subject is a computer-oriented introduction to probability and data analysis...

© 2013-2019