This lesson provides a complete foundation in Brute Force and Exhaustive Search within Algorithm Analysis and Design, covering brute-force strategy, selection sort, bubble sort, linear (sequential) search, brute-force string matching, and exhaustive search for optimization problems including Traveling Salesman Problem, Knapsack Problem, and Assignment Problem.

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What’s Included

💡 Full Brute Force Slide Deck (PPT + PDF)
💡 Full Exhaustive Search Slide Deck (PPT + PDF)
💡 Sorting and searching algorithm walkthroughs
💡 Worked optimization problem examples
💡 Ready for in-person, online, or hybrid classrooms

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WHAT STUDENTS WILL LEARN

✏️ Brute-force algorithm design strategy
✏️ Why brute force is used
✏️ Selection Sort
✏️ Selection Sort algorithm
✏️ Selection Sort time complexity
✏️ Selection Sort advantages and disadvantages
✏️ Bubble Sort
✏️ Bubble Sort algorithm
✏️ Bubble Sort best, average, and worst cases
✏️ Bubble Sort time complexity
✏️ Bubble Sort advantages and disadvantages
✏️ Linear (Sequential) Search
✏️ Linear Search algorithm
✏️ Linear Search best, average, and worst cases
✏️ Linear Search time complexity
✏️ Linear Search advantages and disadvantages
✏️ Brute-force string matching
✏️ Text and pattern representation
✏️ Brute-force string matching time complexity
✏️ Exhaustive search strategy
✏️ Optimization problems
✏️ NP-hard problems
✏️ Traveling Salesman Problem (TSP)
✏️ Hamiltonian circuit
✏️ Permutation-based exhaustive search
✏️ TSP time complexity O(n!)
✏️ Knapsack Problem
✏️ Subset generation
✏️ Knapsack time complexity O(2ⁿ)
✏️ Assignment Problem
✏️ Cost matrix representation
✏️ Assignment exhaustive search
✏️ Assignment problem time complexity O(n!)

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