Selection: Optimization

Optimization is for optimistic people!

Author: Grigory Sapunov
Course
Description
Dates
1
Convex_optimization
Convex_optimization
Stephen Boyd, Henryk Blasinski, Neal Parikh, Ernest Ryu, Madeleine Udell
Stanford
Computer Science Engineering & Technology Mathematics, Statistics and Data Analysis
Gb Free
Course added: 25 January 2014
Details to be announced
Favored by 1 person
2
Discreetoptimisation_logo
Discreetoptimisation_logo
Professor Pascal Van Hentenryck
The University of Melbourne
Computer Science
Gb Free
Course added: long ago
Tired of solving Sudokus by hand? This class teaches you how to solve complex search problems with discrete optimization concepts and algorithms, including constraint programming, local search, and mixed-integer programming. Optimization technology is ubiquitous in our society. It schedules planes and...
4 March 2015, 9 weeks
Favored by 4 people
3
Discrete-optimization-v2-1200x680---300dpi
Discrete-optimization-v2-1200x680---300dpi
Friedrich Eisenbrand
École Polytechnique Fédérale de Lausanne
Computer Science Mathematics, Statistics and Data Analysis
Gb Free
Course added: long ago
The course is an introduction to linear and discrete optimization - an important part of computational mathematics with a wide range of applications in many areas of everyday life. This course serves as an introduction to linear and discrete optimization from the viewpoint of a mathematician or computer...
Details to be announced
Favored by 1 person
4
Lplogo
Lplogo
Sriram Sankaranarayanan
University of Colorado Boulder, University of Colorado System
Gb Paid Free
Course added: long ago
This course will cover the very basic ideas in optimization. Topics include the basic theory and algorithms behind linear and integer linear programming along with some of the important applications. We will also explore the theory of convex polyhedra using linear programming. Linear Programming (LP...
Details to be announced
Favored by 2 people
5
Ee364a
Ee364a
Instructor: Boyd, Stephen
Stanford
Computer Science Mathematics, Statistics and Data Analysis
Gb Free
Course added: 5 March 2014
Concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality...
Free schedule
6
Ee364b
Ee364b
Instructor: Boyd, Stephen
Stanford
Computer Science Mathematics, Statistics and Data Analysis
Gb Free
Course added: 5 March 2014
Continuation of Convex Optimization I. Subgradient, cutting-plane, and ellipsoid methods. Decentralized convex optimization via primal and dual decomposition. Alternating projections. Exploiting problem structure in implementation. Convex relaxations of hard problems, and global optimization via branch...
Free schedule
7
Modelling_discreet_opti_2
Modelling_discreet_opti_2
The University of Melbourne
Computer Science
Gb Free
Course added: 9 June 2015
Learn a new way to approach problem solving by stating the problem and letting powerful constraint solving software do the rest. This class teaches you the art of encoding complex discrete optimization problems in the MiniZinc modeling language and then shows you how to effortlessly solve them by leveraging...
3 August 2015, 8 weeks
Favored by 1 person

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