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 equation and potential flow; boundary-value problems; minimum principles and calculus of variations; Fourier series; discrete Fourier transform; convolution; and applications.
1 :
Introductory Probability and Statistics for Business (Fletcher Ibser / Berkeley)
2 :
Analytic Geometry and Calculus (Thomas Scanlon / Berkeley)
3 :
Introduction to Probability and Statistics (Deborah NOLAN / Berkeley)
4 :
Single Variable Calculus (David Jerison / MIT)
5 :
Multivariable Calculus (Denis Auroux / MIT)
6 :
Differential Equations (Haynes Miller / MIT)
7 :
Linear Algebra (Gilbert Strang / MIT)
8 :
Mathematical Methods for Engineers II (Gilbert Strang / MIT)
9 :
Multivariable Calculus (Michael HUTCHINGS / Berkeley)
10 :
Calculus I (Richard Delaware / University of Missouri)
11 :
College Algebra (Richard Delaware / University of Missouri)
12 :
Homework Help for Multivariable Calculus (Multiple Instructors / MIT)
13 :
Homework Help for Single Variable Calculus (Multiple Instructors / MIT)
14 :
Probability for Math Science (Herbert Enderton / UCLA)
15 :
Differential and Integral Calculus (Steve Butler / UCLA)