Greedy Algorithms & Matroids

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Covers coin rendering and the limitations of the greedy algorithm in finding optimal solutions.

Explores linear programming optimization with constraints, Dijkstra's algorithm, and LP formulations for finding feasible solutions.

Explores the knapsack problem and the traveling salesman problem with a focus on optimization algorithms.

Explores algorithmic challenges, time complexity, optimization, recursion, and probability calculations.

Explores algorithmic complexity, visualization of functions, and algorithm efficiency analysis using Python.

Provides an overview of essential search and sort algorithms in computer science.

Focuses on solving 2019 Algorithms Midterm Exam problems and analyzing time complexities.

Explores worst-case complexity, mathematical induction, and algorithms like binary search and insertion sort.

Explores Prim's algorithm for minimum spanning trees and introduces the Traveling Salesman Problem.