This online course is intended for participants interested in tackling all kinds of optimization applications, eg. in computer science. The course teaches how to state the problem in a high level modeling language and let library constraint solving software do the rest.
|Instructor:||Professor Peter Stuckey|
How do you like the course 'Basic Modeling for Discrete Optimization'?
This MOOC teaches a calculus that enables quantitative predictions of large combinatorial structures. In addition, the MOOC also covers generating functions and real asymptotics...
This online lecture covers eg.: 1. Direct Methods for linear systems of equations 2. Interpolation 3. Iterative Methods for non-linear systems of equations 4. Krylov methods for...
This course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the...