Dijkstras algorithm - Study guides, Class notes & Summaries

Dijkstra's algorithm O((n+m)log(n)). Used to find the shortest distance from one node to every other node in a graph. Inputs: - DAG G=(V,E) with edge weights - Source vertex s Output: - Array dist[...] that tells us the length of the shortest path from s to each other vertex. e.g. dist[v] gives us the distance of s to v Kruskal's Algorithm O(mlog(n)) Minimum Spanning Tree builder. "Repeatedly add the next lightest edge that doesn't produce a cycle". Inputs: - Graph G=(V,E) with...

Algorithms-Data Structures Midterm Test 2 With Complete Solution @ 2024 ...

Includes enough information for A-level students and degree level students, comprehensive notes on Dijkstra's shortest-path algorithm | A-level content | A* Revision

A-Level computer science OCR. Summary notes for paper 2 containing content from physics and maths tutor and Craig’n’Dave videos

Arrays - Describing the structure and usage of arrays in programming. Abstract Data Types (ADTs) - Explaining the theory behind ADTs and their applications. Lists - Discussing different types of lists, including singly linked lists. Queues and Stacks - Providing insights into these fundamental data structures and their operations. Trees - Covering different tree structures including binary search trees (BSTs) and balanced binary trees. Spanning Trees and Minimum Spanning Tree (MST) - Explai...

Summary notes for 2.3 in ocr a level computer science. Notes made from physics and maths tutor and Craig’n’Dave videos

Notes for point 2.2 in the ocr computer science specification focusing on programming techniques and computational methods

Notes for topic 2.1 in the ocr a level computer science exam, made from physics and maths tutor and Craig’n’Dave videos

A greedy algorithm is an algorithmic strategy that makes the optimal choice at each small stage (subproblem), with the goal of eventually leading to globally optimum solution. This document explains the definition of a greedy algorithm, the difference between greedy algorithm and dynamic programming and it provides a explanation of some greedy algorithms as Huffman Encoding, Minimum Spanning Tree (MST) and its different algorithms, graph review and Shortest-Path algorithm.

Explore a comprehensive collection of Data Structures and Algorithms notes, thoughtfully curated to boost your understanding of fundamental computer science concepts. Delve into efficient data organization, search, and manipulation techniques. Gain insights into algorithmic paradigms, sorting, searching, and graph traversal strategies. Elevate your problem-solving prowess and coding skills through concise, clear, and well-structured notes. Unveil the secrets of optimized code and unleash your po...