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Lecture
Dynamic Programming: Introduction and Fibonacci Numbers
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Dynamic Programming: Fibonacci Numbers
Covers dynamic programming with a focus on Fibonacci numbers and the rod cutting problem.
Dynamic Programming: Fibonacci Numbers
Covers dynamic programming with a focus on Fibonacci numbers and efficient calculation algorithms.
Computation & Algorithms II: Binary Search and Merge Sort
Explores binary search, merge sort, recursion in algorithms, Fibonacci numbers, and dynamic programming.
Dynamic Programming: Fibonacci Numbers
Explores dynamic programming through Fibonacci numbers, memoization, and rod cutting applications.
Coin Change Problem
Explores the coin change problem, comparing greedy and dynamic programming algorithms for optimal solutions.
Rod Cutting and Change-Making Problem
Covers the rod cutting problem and the change-making problem to optimize recursive calls and find the minimum number of coins needed for a given amount of money.
Dynamic Programming: Rod Cutting and Change Making
Explores dynamic programming through rod cutting and change making optimization problems.
Recursive Functions: Examples and Applications
Explores recursive functions, including factorials and Fibonacci sequences, and their scope and namespaces.
Optimization in Large Search Spaces: GPU-Accelerated Join Order
Explores GPU-accelerated join order optimization in large search spaces, leveraging graph topology to reduce computational overheads.
Dynamic Programming: Rod Cutting and Matrix Chain Multiplication
Covers dynamic programming techniques for solving the rod cutting and matrix chain multiplication problems.
