50 episodes

This course provides a review of linear algebra, including applications to networks, structures, and estimation, Lagrange multipliers. Also covered are: differential equations of equilibrium; Laplace's equation and potential flow; boundary-value problems; minimum principles and calculus of variations; Fourier series; discrete Fourier transform; convolution; and applications.

License: Creative Commons BY-NC-SA

Computational Science and Engineering I MIT

    • Education

This course provides a review of linear algebra, including applications to networks, structures, and estimation, Lagrange multipliers. Also covered are: differential equations of equilibrium; Laplace's equation and potential flow; boundary-value problems; minimum principles and calculus of variations; Fourier series; discrete Fourier transform; convolution; and applications.

License: Creative Commons BY-NC-SA

    • video
    Course Introduction

    Course Introduction

    Prof. Gilbert Strang gives an overview of 18.085 Computational Science and Engineering I, Fall 2008.

    • 4 min
    • video
    Lecture 01: Four special matrices

    Lecture 01: Four special matrices

    • 54 min
    • video
    Recitation 1: Key Ideas of Linear Algebra

    Recitation 1: Key Ideas of Linear Algebra

    • 49 min
    • video
    Lecture 2: Differential Eqns and Difference Eqns

    Lecture 2: Differential Eqns and Difference Eqns

    • 52 min
    • video
    Lecture 03: Solving a linear system

    Lecture 03: Solving a linear system

    • 54 min
    • video
    Lecture 04: Delta function day!

    Lecture 04: Delta function day!

    • 55 min

Top Podcasts In Education

Listeners Also Subscribed To

More by MIT