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Algorithms and data structures
Formal sciences
Theoretical computer science
Algorithms and data structures
Related lectures (21)
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Optimization Methods: Theory Discussion
Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.
Algorithms: Summary of the week
Covers algorithms for searching, sorting, optimization, and the Halting Problem.
Complexity Analyses: Linear and Binary Search, Sorting Algorithms
Covers the complexity analyses of search and sorting algorithms.
Computation & Algorithms II: Binary Search and Merge Sort
Explores binary search, merge sort, recursion in algorithms, Fibonacci numbers, and dynamic programming.
Complexity & Induction: Algorithms & Proofs
Explores worst-case complexity, mathematical induction, and algorithms like binary search and insertion sort.
Tree-Structured Indexing: B+ Trees Explained
Covers B+ Trees, a key data structure for efficient indexing in databases.
Sorting Algorithms: Selection and Insertion
Introduces selection and insertion sorting algorithms, explaining their correctness and time complexity.
Introduction to Algorithms: Basics and Importance
Covers the basics of algorithms, the importance of studying them, data structures, and the impact of algorithms on various fields.
Cutset Formulation: MST Problem
Explores the cutset formulation for the MST Problem and Gomory Cutting Planes method.
Hashing & Sorting
Explores hashing techniques like static, extendible, and linear hashing, along with sorting methods such as external merge sort and B+ trees.