MIT / Science / Mathematics
Lecture : Mathematical Methods for Engineers Lec 14
By Gilbert Strang | Mathematical Methods for Engineers II
Lecture 14 of 29
Rate this lecture -
Add to My Courses
   
More Lectures -
 
Course Description
This graduate-level course is a continuation of Mathematical Methods for Engineers I (18.085). Topics include numerical methods; initial-value problems; network flows; and optimization.
Courses Index
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 : Computational Science and Engineering I   (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)