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CS6515 EXAM 3 VERSION B LATEST VERSION 2024 COMPLETE 46+ QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED ANSWERS) |ALREADY GRADED A+. $16.99   Add to cart

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CS6515 EXAM 3 VERSION B LATEST VERSION 2024 COMPLETE 46+ QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED ANSWERS) |ALREADY GRADED A+.

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CS6515 EXAM 3 VERSION B LATEST VERSION 2024 COMPLETE 46+ QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED ANSWERS) |ALREADY GRADED A+.

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  • April 6, 2024
  • 13
  • 2023/2024
  • Exam (elaborations)
  • Questions & answers
  • CS6515
  • CS6515

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CS6515 EXAM 3 VERSION B LATEST VERSION 2024 COMPLETE 46+ QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED ANSWERS) |ALREADY GRADED A+. You are given two problems A and B such that A is NP -complete, B does not belong to the class NP and A -> B - ANSWER -1. B is NP -Hard 2. If S is a candidate solution to an instance I for problem A, we can check in polynomial time if S is indeed a solution 3. If B -> MST, then P = NP (Because A -> B -> MST) 4. A is NP -Hard What is a subset of what? (NP, P, NP -Complete, NP -Hard) - ANSWER -
1. NP-complete is a subset of NP -Hard 2. P is a subset of NP 3. NP-complete is a subset of NP A problem in NP is NP -Complete if: - ANSWER -all NP problems can be reduced to it in polynomial time. This is same as reducing any of the NPC problem to it NP-Complete Quiz - ANSWER -
https://www.geeksforgeeks.org/algorithms -gq/np-complete -gq/ Undecidable Problems - ANSWER -Computationally Impossible -- No algorithm solves the problem on every input even with unlimited time and space. The key is every input. Even if some inputs or most inputs can be solved, as long as it can't solve all, then it is considered undecidable. Halting Problem - ANSWER -Input: Program P with an Input I Output: True if P(I) terminates, False if P(I) Never terminates. Graph Algorithms - ANSWER -- Clique - Independent Set - Vertex Cover (only graph problem with a budget) - RudrataPath - RudrataCycle - TSP Set Algorithms - ANSWER -- SubsetSum - KnapsackSearch - Zoe - 3D matching NP-Hard -> Approximation - ANSWER -- Take NP-Hard Problem and Reduce it to ILP - Relax ILP to LP - Solve the LP - Round the solution (randomized or other techniques)

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