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IKT301 Applied Algorithms, which was conducted during my time at UIA, contains 6 different projects.

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IKT301-Applied-Algoirthms

This class contains 6 large project, which was conducted in a group of 4. We where the only group to score highest in our class. Bellow is a general overview of what each project topic was about, and their respeictive problem titles.

Project 1: Backtracking and Heuristics

  • Problem 1: Solving Sudoku Puzzles: Backtracking and Deductive Strategies
  • Problem 2: Knight's Tour Problem with Backtracking and Accessibility Heuristic
  • Problem 3: Magnets Puzzle with Backtracking and Search Space Reduction
  • Problem 4: N-bit Grey Codes Generation: Backtracking vs Greedy Algorithm

Project 2: Grammatical Inference

  • Problem 1: String Generation and Labeling with DFA Incidence Matrix
  • Problem 2: Minimum DFA Construction using the Trakhtenbrot-Barzdin Algorithm
  • Problem 3: DFA Labeling and Merge: Backtracking and Stack Implementation

Project 3: Search and Sort using Divide and Conquer

  • Problem 1: MergeSort
  • Problem 2: QuickSort
  • Problem 3: Binary Search of an ordered list
  • Problem 4: Optimal Binary Search Tree

Project 4: Greedy and dynamic programming

  • Problem 1: Travelling Salesperson (TSP)
  • Problem 2: Minimum spanning tree
  • Problem 3: Huffman coding
  • Problem 4: Job scheduling
  • Problem 5: Knapsack

Project 5: Implementing Heapsort algorithm

Project 6: NP

  • Problem 1: Polynomial-Time Verification Algorithm for the Clique Decision Problem
  • Problem 2: Polynomial-Time Reduction of CNF-Satisfiability to the Clique Decision Problem
  • Problem 3: NP-Completeness of Problem B Given Polynomial-Time Many-One Reduction from Problem A
  • Problem 4: Establishing NP Membership for Problems in Examples 9.2 to 9.5

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IKT301 Applied Algorithms, which was conducted during my time at UIA, contains 6 different projects.

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