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.
Highlights of Calculus is a series of short videos that introduces the basic ideas of calculus — how it works and why it is important. The intended audience is high school students, college students, or anyone who might need help understanding the subject.
This is a basic course
on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues
, similarity, and positive definite
This graduate-level course
is a continuation of Computational Science
and Engineering I. Topics
include numerical methods; initial-value problems; network flows; and optimization.