COMP9311 DATABASE SYSTEMS • Xuemin L in • Schoo l o f Compu te r Sc ience and Eng inee r i ng • Off i ce : K17 -503 • E-ma i l : l xue@cse .unsw.edu .au • Ex t : 6493 • h t tp : / /www.cse .unsw.edu .au /~ l […]
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Homework Eight Problem Set 8 Solutions Q1 Show how to modify Dijkstra’s algorithm to not only output the distance from v to each vertex in G, but also to output a tree T rooted at v such that the path in T from v to a vertex u is a shortest path in G from
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COMP9024: Data Structures and Algorithms COMP9024: Data Structures and Algorithms Week 1: Introduction to C 1 Contents • Basic Structure of a C Program • Assignments • Conditionals • Loops • Functions • Basic Data Types • Arrays • Strings • Functions • Structures • Basic I/O 2 Brief History of C • C and
COMP3X27 Flow Exemplar Solution Greg McLellan April 29, 2021 T7 Problem 3: Base Station Load Balancing First, a formal statement of the base station load balancing problem: Input: A set B of base stations with a location xb ∈ R2 given for each station b ∈ B, and a set P of mobile computers with
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COMP9024: Data Structures and Algorithms COMP9024: Data Structures and Algorithms Week 2: Dynamic Data Structures 1 Contents • Dynamic Memory Management • Singly Linked Lists • Doubly Linked Lists 2 Storage Classes in C • Automatic variables auto • Register variables register • External variables extern • Static variables static 3 Automatic Variables Any variable
Homework Seven Problem Set 7 Problem 1 The BFS (Breadth-First Search) algorithm given in the lecture notes uses multiple lists. Modify the algorithm so that it uses only one queue to replace multiple lists. Problem 2 Describe, in pseudo code, an O(n+m)-time algorithm for computing all the connected components of an undirected graph G with
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Homework Five Problem Set 3-b Problem 1 For each node v in a tree T, let pre(v) be the rank of v in the preorder traversal of T, post(v) the rank of in the postorder traversal of T, depth(v) the depth of v, and desc(v) the number of descendants of v, not counting v itself.
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T ransactions, Recovery and Concurrency (I) 3/30/20 1 Air-line Reservation • 10 available seats vs 15 travel agents. • How do you design a robust and fair reservation system? – Insufficient resources – Fair policy to every body – Robustness 3/30/20 2 Failures Number of factors might cause failures in user requirements processing. 1. System
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Graph Algorithms (I) COMP9024: Data Structures and Algorithms Graphs (I) Contents • Graph terminology • Adjacency matrix representation • Adjacency list representation 3 Graphs ORD DFW SFO LAX 4 Graphs • A graph is a pair (V, E), where • V is a set of nodes, called vertices • E is a collection of pairs
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Functional Dependency Functional Dependency 1 Functional Dependency A “good” database schema should not lead to update anomalies. • update anomalies, • functional dependencies, • Armstrong Axioms, • closures. 2 Update Anomalies Redundancy in a database means storing a piece of data more than once. Redundancy is often useful for efficiency and semantic reasons, but creates
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