PPT-4.6 Data Structures for relations and digraphs

Data can be stored in a list known as an array The locations of an array are consecutively numbered in a computer memory Example Array by the name of A with 5 data items Index Location. Anthony . Cozzie. , Frank Stratton, . Hui. . Xue. , Sam King. University of Illinois at Urbana-Champaign. The Current Antivirus Situation. Virus Stealth Techniques. Signature checkers are basically . sounds. ’. Upper Primary. Week . 8. Focus . The digraph ‘. oi. ’ is only found in . the middle of words.. The Rule . oi. inv. oi. ce. av. oi. d . t. yph. oi. d. tabl. oi. d. aster. oi. d. adj. Digraphs are two letters that make one sound.. . 1. 1. Learning the letter sounds. Michael T. Goodrich. Dept. of Computer . Science. University of California, Irvine. The Need for Good Algorithms. T. o . facilitate improved network analysis, we need . fast algorithms . and . efficient data structures. Fall . 2015. See online syllabus (also available through . BlueLine. ). : . . http://dave-reed.com/csc321. Course goals:. To understand fundamental data structures (lists, stacks, queues, sets, maps, and linked structures) and be able to implement software solutions to problems using these data structures. . Manolis. . Koubarakis. Data Structures and Programming Techniques. 1. Dynamic Sets. Sets are fundamental for mathematics but also for computer science.. In computer science, we usually study . dynamic sets . Phoneme.  . Graphemes.  . Segmenting and blending. .  . Digraph.  . Trigraph.  . Split digraph.  . Abbreviations. Terminology. Phase 1. There are 7 aspects with 3 strands.. A1 – Environmental. We show a relation between two sets A and B by writing . aRb. .. This shows which elements of A are related to elements of B. A = {1,2,3}. B = {. r,s. }. R = {(1,r),(2,s),(3,r)} Relation from A to B. CSCI 115. §4. .1. Product Sets and Partitions. §4. .1 – Product Sets and Partitions. Product Set. Ordered pair. Cartesian Product. Theorem 4.1.1. For any 2 finite non-empty sets A and B, . |A x B| = |A||B|. Lecture . 4: . Dictionaries; Binary Search Trees. Dan Grossman. Fall 2013. Where we are. Studying the absolutely essential ADTs of computer science and . classic data structures for implementing them. Graph Data Structures " Unless in communicating with it [a computer] one says exactly what one means, trouble is bound to result. " - Alan Turing Early Graph Theory Problem Leonhard Euler (1707 - 1783) Lecture . 17: More . Dijkstra. ’s. and. Minimum Spanning Trees. Aaron Bauer. Winter 2014. Dijkstra’s. Algorithm: Idea. Winter 2014. 2. CSE373: Data Structures & Algorithms. Initially, start node has cost 0 and all other nodes have cost . Graph . Traversals: . Dijkstra’s. Riley Porter. Winter 2017. CSE373: Data Structures & Algorithms. 1. Course Logistics. HW4 out. .  graphs!. Topic Summary on Graphs coming out by tomorrow evening. We’ll add more after we finish Graphs next week.. Lecture 1: Introduction; ADTs; Stacks/Queues. Dan Grossman. Fall 2013. Welcome!. We have 10 weeks to learn . fundamental data structures and algorithms for organizing and processing information. “Classic” data structures / algorithms and how to analyze rigorously their efficiency and when to use them.