Dijkstras algorithm - Samenvattingen, Aantekeningen en Examens

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Black Box Algorithms complete solution
  • Black Box Algorithms complete solution

  • Tentamen (uitwerkingen) • 3 pagina's • 2024
  • 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...
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Algorithms-Data Structures Midterm Test 2 With Complete Solution @ 2024
  • Algorithms-Data Structures Midterm Test 2 With Complete Solution @ 2024

  • Tentamen (uitwerkingen) • 3 pagina's • 2024
  • Algorithms-Data Structures Midterm Test 2 With Complete Solution @ 2024 ...
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COMPREHENSIVE NOTES ON DIJKSTRA'S ALGORITHM
  • COMPREHENSIVE NOTES ON DIJKSTRA'S ALGORITHM

  • Samenvatting • 2 pagina's • 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
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Samenvatting algoritme & datastructuren
  • Samenvatting algoritme & datastructuren

  • Samenvatting • 7 pagina's • 2024
  • Een korte samenvatting met de belangrijkste punten voor het vak Algoritme & datastructuren
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OCR A-Level computer science paper 2 notes
  • OCR A-Level computer science paper 2 notes

  • Samenvatting • 26 pagina's • 2024
  • A-Level computer science OCR. Summary notes for paper 2 containing content from physics and maths tutor and Craig’n’Dave videos
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Data structures and Algorithm Lecture Notes
  • Data structures and Algorithm Lecture Notes

  • College aantekeningen • 14 pagina's • 2024
  • 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...
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OCR A-Level computer science Algorithms for data structures, sorts and searches and paths finding
  • OCR A-Level computer science Algorithms for data structures, sorts and searches and paths finding

  • Samenvatting • 10 pagina's • 2024
  • Summary notes for 2.3 in ocr a level computer science. Notes made from physics and maths tutor and Craig’n’Dave videos
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  • €4,32
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OCR A-Level Computer Science topic 2.2
  • OCR A-Level Computer Science topic 2.2

  • Samenvatting • 8 pagina's • 2024
  • Notes for point 2.2 in the ocr computer science specification focusing on programming techniques and computational methods
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  • €4,32
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OCR A-Level computer science elements of computational thinking
  • OCR A-Level computer science elements of computational thinking

  • Samenvatting • 7 pagina's • 2024
  • Notes for topic 2.1 in the ocr a level computer science exam, made from physics and maths tutor and Craig’n’Dave videos
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Greedy Algorithms
  • Greedy Algorithms

  • Samenvatting • 12 pagina's • 2024
  • 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.
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