Algorithm算法代写代考

COMP2521 Data Structures & Algorithms Week 7.4 Shortest Path   1 In this lecture Why? Finding the shortest path through a graph is one of the most common use cases What? Shortest Path Edge Relaxation Dijkstra’s Algorithm 2 Shortest Path We’re going to search for the shortest path between two vertices on a weighted graph

COMP2521 Data Structures & Algorithms Week 8.3 Merge Sort   1 In this lecture Why? We need some algorithms better than O(n^2) for large data sets. What? Merge sort 2 Mergesort Overview The key of this approach is that it’s recursive. 1. Split the array into two roughly equal sized partitions 2. Recursively sort each

COMP2521 Data Structures & Algorithms Week 5.1 Graph ADT 1 In this lecture Why? Graphs are one of the most general and fundamental data types in software, so let’s understand it from an abstract point of view What? 2-3-4 Trees Data Structure Insertion Pseudocode   2 Graph A graph G = (V, E) is a

COMP2521 Data Structures & Algorithms Week 3.2 Balancing Binary Search Trees 1 In this lecture Why? Binary Search Trees will often slowly lead to more imbalanced trees, so we need to develop strategies to prevent that. What? Tree Rotations Insertions at root Tree partitioning   2 BST balance as it grows When you insert into

COMP2521 Data Structures & Algorithms Week 5.2 Graph Implementations   1 In this lecture Why? Different graph implementations have different pros and cons, and we should try and understand the difference What? Array of edges graph Adjacency Matrix graph Adjacency List graph   2 Properties of Graphs Terminology: |V| and |E| (cardinality) normally written just