Lectures related to Binary Search Algorithm

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

Introduces recursion and binary search algorithms for efficient problem-solving.

Covers worst-case complexity, algorithms, and proofs including mathematical induction and recursion.

Explains binary search, the logarithm function, and recursive algorithms for factorial and Fibonacci sequences.

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

Covers the binary search algorithm and provides a step-by-step example.

Explores the binary search algorithm's efficiency in reducing search time.

Covers algorithms for searching, sorting, optimization, and the Halting Problem.

Explores dynamic programming for palindromic subsequences, merging binary search trees, and finding the median of two sorted arrays.

Covers the complexity analyses of search and sorting algorithms.

Explains the merge sort algorithm, its correctness, and time complexity compared to other sorting algorithms.

Covers the complexity analyses of algorithms and their worst-case time complexities.

Explores binary search, merge sort, recursion in algorithms, Fibonacci numbers, and dynamic programming.

Explores optimization problems and greedy algorithms for efficient decision-making.

Covers the introduction to logarithms, algorithmic notations, and analysis of algorithm travel times.

Covers the basics of algorithms, the importance of studying them, data structures, and the impact of algorithms on various fields.

Explores sorting and recursive algorithms, including complexity analysis, maximal value, and binary search.

Explores recursion, recursive algorithms, and sorting algorithms' efficiency for problem-solving and data organization.

Introduces selection and insertion sorting algorithms, explaining their correctness and time complexity.

Covers the time complexity of algorithms and includes a quiz.