Monash University Faculty of Information Technology 2nd Semester 2018 FIT2014 Assignment 2 Regular Languages, Context-Free Languages, Lexical analysis, Parsing, and Turing machines DUE: 11:55pm, Friday 5 October 2018 In these exercises, you will • implement lexical analysers using lex (Problem 3); • implement parsers using lex and yacc (Problems 1, 4); • practise proof by […]
COMP90038 Algorithms and Complexity Lecture 18: Dynamic Programming (with thanks to Harald Søndergaard & Michael Kirley) Andres Munoz-Acosta munoz.m@unimelb.edu.au Peter Hall Building G.83 Recap • Hashing is a standard way of implementing the abstract data type “dictionary”, a collection of pairs. • A key k identifies each record, and should map efficiently to a positive
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CSc 352: Testing and Code Coverage Testing and test cases int main() { read x; if (x is odd) { compute payroll data; } else { delete all files; send rude email to boss; crash computer; } } make sure you use at least fifty different test inputs 1, 3, 5, 7, 9, 11, 13,
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COMP90038 Algorithms and Complexity Lecture 3: Growth Rate and Algorithm Efficiency (with thanks to Harald Søndergaard) Toby Murray toby.murray@unimelb.edu.au DMD 8.17 (Level 8, Doug McDonell Bldg) http://people.eng.unimelb.edu.au/tobym @tobycmurray 2 Copyright University of Melbourne 2016, provided under Creative Commons Attribution License Update Compulsory Quizzes (first one closes Tuesday Week 3) Tutorials start this week Background knowledge
Pointers • A pointer in C holds the memory address of a value the value of a pointer is an address the value of the memory location pointed at can be obtained by “dereferencing the pointer” (retrieving the contents of that address) p pointer memory location address 10000 10001 10002 10003 10004 10005
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COMP90038 Algorithms and Complexity Lecture 17: Hashing (with thanks to Harald Søndergaard & Michael Kirley) Andres Munoz-Acosta munoz.m@unimelb.edu.au Peter Hall Building G.83 Recap • We talked about using some memory space (in the form of extra tables, arrays, etc.) to speed up our computation. • Memory is cheap, time is not. • Sorting by counting
COMP90038 Algorithms and Complexity Lecture 17: Hashing (with thanks to Harald Søndergaard & Michael Kirley) Andres Munoz-Acosta munoz.m@unimelb.edu.au Peter Hall Building G.83 Recap • We talked about using some memory space (in the form of extra tables, arrays, etc.) to speed up our computation. • Memory is cheap, time is not. • Sorting by counting
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CS 241 — Fall 2017 — Assignment 8 Assignments for CS 241 ← Assignment 7 Assignment 8 Assignment 9 → Friday, Nov 10 at 5:00 pm Friday, Nov 17 at 5:00 pm Friday, Nov 24 at 5:00 pm P1 • P2 • P3 • P4 • P5 • P6 In Assignment 8, you will implement
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CS 241 — Fall 2017 — Assignment 8 Assignments for CS 241 ← Assignment 7 Assignment 8 Assignment 9 → Friday, Nov 10 at 5:00 pm Friday, Nov 17 at 5:00 pm Friday, Nov 24 at 5:00 pm P1 • P2 • P3 • P4 • P5 • P6 In Assignment 8, you will implement
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