'Max sat' presentation slideshows

The Evergreen Project: The Promise of Polynomials to Boost CSP/SAT Techniques*

The Evergreen Project: The Promise of Polynomials to Boost CSP/SAT Techniques*. Karl J. Lieberherr Northeastern University Boston. joint work with Ahmed Abdelmeged, Christine Hang and Daniel Rinehart. Title inspired by a paper by Carla Gomes / David Shmoys. Abstract.

1.44k views • 131 slides

Soft Constraints: Exponential Models

Soft Constraints: Exponential Models. Factor graphs (undirected graphical models) and their connection to constraint programming. Soft constraint problems (e.g, MAX-SAT). Given n variables m constraints, over various subsets of variables Find

741 views • 60 slides

Soft Constraints: Exponential Models

Soft Constraints: Exponential Models. Factor graphs (undirected graphical models) and their connection to constraint programming. Soft constraint problems (e.g, MAX-SAT). Given n variables m constraints, over various subsets of variables Find

604 views • 60 slides

Using Artificial Markets to Teach Computer Science Through Trading Robots

Using Artificial Markets to Teach Computer Science Through Trading Robots. How to get students interested in algorithms, combinatorial optimization and software development. Karl Lieberherr, Northeastern University, Boston. Outline. Specker Derivative Game (SDG) history example, bottom up

711 views • 59 slides

Computing the Density of States of Boolean Formulas

665 views • 57 slides

Computing the Density of States of Boolean Formulas

638 views • 57 slides

Using Artificial Markets to Teach Computer Science Through Trading Robots

Using Artificial Markets to Teach Computer Science Through Trading Robots. How to get students interested in algorithms, combinatorial optimization and software development. Karl Lieberherr, Northeastern University, Boston. Outline. Specker Derivative Game (SDG) history example, bottom up

528 views • 41 slides

Improved Design Debugging using Maximum Satisfiability

Improved Design Debugging using Maximum Satisfiability. Sean Safarpour, Hratch Mangassarian, Andreas Veneris. Mark H. Liffiton, Karem A. Sakallah. University of Toronto. University of Michigan. Outline. Introduction & Motivation Debugging with max-sat

304 views • 24 slides

Max 2 Sat Example: (Hansen & Jaumard) (n = 4, m = 12) Clause # Clause

Solution of Satisfiability Problems by Unconstrained Quadratic Programming Talk given by Gary Kochenberger University of Colorado & Hearin Center for Enterprise Science Other Team Members Fred Glover Bahram Alidaee Keith Womer Haitao Li.

400 views • 21 slides

331 views • 18 slides

Bayesian reasoning using MAX-SAT and model-counting

219 views • 14 slides

ADVANCED COMPUTATIONAL MODELS AND ALGORITHMS

ADVANCED COMPUTATIONAL MODELS AND ALGORITHMS. Instructor: Dr. Gautam Das April 16, 2009 Notes - Mahadevkirthi M. Topics Probabilistic Recurrence: - Linear Algorithm for K th Largest Selection Problem. Probabilistic Complexity Classes: - Random Polynomial Class (RP)

142 views • 7 slides