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Optimal min max solution - PowerPoint PPT Presentation

Dynamic Programming

Dynamic Programming

Dynamic Programming. Optimization Problems. In which a set of choices must be made in order to arrive at an optimal (min/max) solution, subject to some constraints. (There may be several solutions to achieve an optimal value.) Two common techniques: Dynamic Programming (global)

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385 views • 37 slides
Optimization Problems

Optimization Problems

Optimization Problems. In which a set of choices must be made in order to arrive at an optimal (min/max) solution, subject to some constraints. (There may be several solutions to achieve an optimal value.) Two common techniques: Dynamic Programming (global) Greedy Algorithms (local).

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259 views • 24 slides
MST-Kruskal( G, w )

MST-Kruskal( G, w )

MST-Kruskal( G, w ). 1. A ? ? // initially A is empty 2. for each vertex v ? V [ G ] // line 2-3 takes O ( V ) time 3. do Create-Set( v ) // create set for each vertex 4. sort the edges of E by nondecreasing weight w

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279 views • 14 slides
MST-Kruskal( G, w )

MST-Kruskal( G, w )

MST-Kruskal( G, w ). 1. A ? ? // initially A is empty 2. for each vertex v ? V [ G ] // line 2-3 takes O ( V ) time 3. do Create-Set( v ) // create set for each vertex 4. sort the edges of E by nondecreasing weight w

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378 views • 14 slides
MST-Kruskal( G, w )

MST-Kruskal( G, w )

MST-Kruskal( G, w ). 1. A ? ? // initially A is empty 2. for each vertex v ? V [ G ] // line 2-3 takes O ( V ) time 3. do Create-Set( v ) // create set for each vertex 4. sort the edges of E by nondecreasing weight w

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150 views • 14 slides

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