University of California, Santa Barbara Department of Statistics & Applied Probability PSTAT 120B, Probability & Statistics, Spring 2010
Instructor: Jarad Niemi Email: [email protected] Course hours: MWF 10:00-10:50am in HFH 1104 TAs: Varvara Kulikova
Math 104B Homework #3
Instructor: Xu Yang
General Instructions: Please write your homework papers neatly. You need to turn in both
your codes and descriptions on the appropriate runs you made by following TAs instructions. Write
your own code, individuall
PARSING ALGORITHMS FOR LL PARSERS
Table-driven predictive parsing algorithm (for LL parsers) Input: A string of tokens and a parsing table M for grammar G. (S denotes the start symbol of grammar G, and $ denotes the end-of-file symbol) push($); push(S); l
CMPSC 160 Translation of Programming Languages
Project 3 Cont'd
TA Evaluation
Knowledge of the course Preparation for discussion Overall effectiveness Answering questions Board work English
Review of AST
ast.cdef astbuilder.gawk
symtab.hpp symtab.cpp
pr
CMPSC 160 Translation of Programming Languages
Project 3 Abstract Syntax Tree
Agenda
Practice Problems Project 2 Summary Intro of Project 3
Project 1 summary
Test case
27 correct testcases 23 error testcaes Two points each
Your Grades
Finished last Sa
CMPSC 160 Translation of Programming Languages
Project 2 contd
Agenda
Project 1 Summary Review of Project 2 Lex and Yacc: Runing Example Manual Problems Associativity and Precedence in Yacc
Project 1 summary
Test case
10 kinds of errors One large corre
CMPSC 160 Translation of Programming Languages
Project 2: Lex and Yacc
Introduction
Projects
Calculator (10%) Lexical and Syntax Analysis (20%) Abstract Syntax Tree (20%) Type Checking and Semantic Analysis (30%) Code Generation (20%)
Enviornment
Linux
10/6/10
CMPSC 160 Translation of Programming Languages
Project 1: Calculator
Introduction
Teaching Assistant: Yutian Sun
[email protected] (805) 886-5382 Office hours: Mon Wed 2:00 3:00 @Phelps 1413
There will be 5 projects in this class:
Calculator (10
CMPSC 160 Translation of Programming Languages
Lecture 12: Attribute Grammars
Attribute Grammars
What is an attribute grammar? A context-free grammar augmented with a set of semantic rules Each symbol in the derivation has a set of values, or attributes T
CMPSC 160 Translation of Programming Languages
Lecture 11: Introduction to Context Sensitive Analysis
Context-Sensitive Analysis
There is a level of correctness that is deeper than grammar
fie(a,b,c,d) int a, b, c, d; cfw_. fee() cfw_ int f[3], g[4], h, i
CMPSC 160 Translation of Programming Languages
Lecture 10: LR(1) Parsing
Building LR(1) Handle Recognizing Machine
In the last lecture we discussed how to build the LR(0) handle recognizing machine which did not use a lookahead symbol Now we will learn t
Homework 1 Math 104B, Winter 2011
Due on Thursday, January 13th, 2011
Section 6.1: 6.
Section 6.2: 1a.
Section 6.3: 8a, 8e, 8f.
Additional problem 1: Implement the algorithm for Gaussian Elimination
with Backward Substitution seen in class. Write a subrou
Homework 2 Math 104B, Winter 2011
Due on Thursday, January 20th, 2011
Problem 1: Repeat the additional problem from homework assignment
1 using Choleskis factorization to solve the system of equations. Write a
subroutine that takes as input the matrix A,
Numerical Analysis - Math 104B
Winter 2017
Tuesday & Thursday, 11:00am-12:15pm, PHELP 1425
Instructor: Xu Yang
Office: South Hall 6709
E-mail: [email protected]
Office Hours: Tuesday, 1:00-3:00pm or by appointment.
Teaching Assistant: Sarah Wells
Offic
Math 104B Homework #1
Instructor: Xu Yang
General Instructions: Please write your homework papers neatly. You need to turn in both
your codes and descriptions on the appropriate runs you made by following TAs instructions. Write
your own code, individuall
Math 104B Homework #1
Instructor: Xu Yang
General Instructions: Please write your homework papers neatly. You need to turn in both
your codes and descriptions on the appropriate runs you made by following TAs instructions. Write
your own code, individuall
Chapter 8
Numerical Integration
1
We now revisit the problem of numerical integration which we served as
an introductory example to some of the principle of Numerical Analysis.
The problem in question is to find accurate and efficient approximations
to
Z
Intro. to Numerical Analysis - Math 104B
Winter 2011
Tuesday & Thursday, 8:00-9:15am, South Hall 6635
Instructor: Carlos J. Garc
a-Cervera.
Oce: South Hall, 6707.
Phone: 893-3681.
E-mail: [email protected]
URL: http:/www.math.ucsb.edu/~cgarcia/Courses
Self-Assessment 1 Math 104B, Spring 2009
Answer the following questions without looking in the book. If you do not
feel comfortable answering them, read the corresponding sections in the book,
and then solve the problems, again without looking in the book
Homework 6 Math 104B, Winter 2011
Due on Thursday, March 3rd, 2011
Section 8.3 1, and 8.
Section 8.5 4, 12, and 16.
Additional problem 1: Prove that the Chebyshev polynomials satisfy the
three-term recurrence:
T0 (x) = 1; T1 (x) = x; Tn+1 (x) = 2xTn (x) T
Homework 5 Math 104B, Winter 2011
Due on Thursday, February 24th, 2011
Section 8.1 4, 12, 13a, 13b.
Section 8.2 1e, 7b, 8b, 11, 12c.
Additional problem 1: Let A Rnn be a symmetric, positive denite
matrix, and cfw_p0 , p1 , . . . , pn1 a set of A-conjugat
Homework 4 Math 104B, Winter 2011
Due on Thursday, February 17th, 2011
Section 7.3: 17, 18, and 26.
Section 7.4: 1d, 2b, 3d, and 4b.
Additional problem: The n n Hilbert matrix H (n) dened by
(n)
Hij =
1
i+j1
1 i, j n
is an ill-conditioned matrix that aris
Homework 3 Math 104B, Winter 2011
Due on Thursday, February 10th, 2011
Section 7.1: 3.d, 4.d, 5.a, 7, 9, and 11.
Section 7.2: 4.d, 8.a, 9, 10, 13, 14, 16, and 17.
Additional Problem 1: Given a matrix A Rnn , prove that
n
A
1
= max
1j n
|aij |.
i=1
Additio
CMPSC 160 Translation of Programming Languages
Lecture 9: Introduction to LR Parsing
LR Parsers
Shift-reduce parsers are very fast and simple to implement They keep moving more input onto the stack All the while they look for handles to reduce The tricky
CMPSC 160 Translation of Programming Languages
Lecture 8: Introduction to Bottom-up Parsing and Shift-Reduce Parsing
Where are we in the process?
compiler scan top down parse bottom up
top down parsing with backtracking
predictive parsing
1
Parsing Techni