Matrix Multiplication and Heaps: Efficient Algorithms

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Matrix Multiplication and Divide-and-Conquer Techniques

Discusses matrix multiplication using divide-and-conquer techniques and introduces Strassen's algorithm for improved efficiency.

Heaps and Priority Queues

Explores heaps, heapsort, and priority queues, including operations and analysis.

Algorithms in Computer Science: Search and Sort Techniques

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

Matrix Multiplication: Strassen's Algorithm

Introduces matrix multiplication and Strassen's algorithm, covering divide-and-conquer approach, data structures like heaps, and MAX-HEAPIFY operation.

Matrix Multiplication and Heap Data Structure

Covers the divide-and-conquer algorithm for matrix multiplication and introduces the (binary) heap data structure.

Heapsort and Priority Queues

Covers the Heapsort algorithm, which sorts arrays efficiently using max-heaps and introduces priority queues.

Introduction to Algorithms: Course Overview and Basics

Introduces the CS-250 Algorithms course, covering its structure, objectives, and key topics in algorithmic problem-solving.

Heaps: Data Structure and Heapsort

Explores heaps, heapsort, and their efficiency in implementing priority queues.

Heapsort and Priority Queues

Explores heapsort, priority queues, and their operations, highlighting time complexity and practicality.

Sorting Algorithms: Sorting Methods and Comparison

Explores sorting methods, insertion sort, and algorithm comparison for efficient data organization.