'Problem structure' presentation slideshows

Prototyping

681 views • 44 slides

Network Location Problems

594 views • 43 slides

423 views • 42 slides

CS 188: Artificial Intelligence Fall 2008

408 views • 34 slides

414 views • 32 slides

Northeastern University

51 st IEEE Conference on Decision and Control. A Convex Optimization Approach to Model (In)validation of Switched ARX Systems with Unknown Switches. Yongfang Cheng 1 , Yin Wang 1 , Mario Sznaier 1 , Necmiye Ozay 2 , Constantino M. Lagoa 3

456 views • 26 slides

Distributed Localization of Modular Robot Ensembles

Distributed Localization of Modular Robot Ensembles. Robotics: Science and Systems 25 June 2008. Padmanabhan Pillai, Jason Campbell Intel Research Pittsburgh. Stanislav Funiak, Michael Ashley-Rollman Seth Copen Goldstein Carnegie Mellon University. Claytronics. thousands of modules.

359 views • 23 slides

Improving a Mathematical Intelligent Tutoring System Experiments & Equation Solver Improvements

Improving a Mathematical Intelligent Tutoring System Experiments & Equation Solver Improvements. July 27th, 2012 Jennifer Ferris-Glick & Hee Seung Lee. Mathematical Intelligent Tutoring Systems.

384 views • 23 slides

Quantum Complexity and Fundamental Physics

PSPACE. PostBQP. BQP. NP. P. Quantum Complexity and Fundamental Physics. Scott Aaronson MIT. RESOLVED: That the results of quantum complexity research can deepen our understanding of physics.

294 views • 19 slides

271 views • 14 slides

Problem Analysis and Structure II

224 views • 13 slides

Problem Structure: Human Rights and the Environment

293 views • 13 slides

Constraint Satisfaction Problems (CSPs)

Constraint Satisfaction Problems (CSPs). Set of variables V i that can take on values from their Domains D i (discrete / continuous) Goal test specifies constraints on variables unary (on a particular variable) e.g. left-most digit in crypt arithmetic is 0

463 views • 5 slides

The Mouse Problem

Function Notation Composite Functions - Angle Sums of Polygons. The Mouse Problem. Inquiry Based Practices. Tools for Inquiry. Making sense of the problem Collecting Data Identifying Patterns From specific to general From concrete to abstract Making / Proving guesses Peer collaboration

114 views • 1 slides