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...

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

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...

Summary notes for 2.3 in ocr a level computer science. Notes 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.

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

CS 8803GA Exam 2 Solutions March 5, 2018 Problem 1: Short Answer (a) What is the running time of Dijkstras algorithm (with min-heap implementation) on a graph with n vertices and m edges? Solution. O((n + m) log n) (b) Dijkstra’s algorithm is guaranteed to work correctly if the graph is directed with edge lengths that are non-negative (so they can be positive or zero, but not negative): Solution. TRUE If there are negative length edges then dist(v) can decrease after v has been explo...

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

In depth notes on ECON0123 Week 2