'Discrete optimization problems' diaporamas de présentation

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Dynamic Programming

Dynamic Programming. What is Dynamic Programming. A method for solving complex problems by breaking them down into simpler sub problems. It is applicable to problems exhibiting the properties of overlapping subproblems which are only slightly smaller

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Combinational Problems: Unate Covering, Binate Covering, Graph Coloring and Maximum Cliques

Combinational Problems: Unate Covering, Binate Covering, Graph Coloring and Maximum Cliques. Example of application: Decomposition. What will be discussed. In many logic synthesis, formal verification or testing problems we can reduce the problem to some well-known and researched problem

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Math443/543 Mathematical Modeling and Optimization

Math443/543 Mathematical Modeling and Optimization. A schematic view of modeling/optimization process. assumptions, abstraction,data,simplifications. Real-world problem. Mathematical model. makes sense? change the model, assumptions?. optimization algorithm. Solution to real-world

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Solution methods for Discrete Optimization Problems

Solution methods for Discrete Optimization Problems. Computational complexity of discrete optimization problems. In terms of complexity of solution methods, discrete optimization problems can be divided into two classes :

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