The purpose of types:
To define what the program should do.
e.g. read an array of integers and return a double
To guarantee that the program is meaningful.
that it does not add a string to an integer
that variables are declared before they are used
To document the programmer's intentions.
better than comments, which are not checked by the compiler
To optimize the use of hardware.
reserve the minimal amount of memory, but not more
use the most appropriate machine instructions.
This is about a topic of compiler design, LR and SLR parsing algorithm and LR grammar, Canonical collection and Item, Conflict in LR parsing shift reduce. Classification of Bottom up parsing.
The purpose of types:
To define what the program should do.
e.g. read an array of integers and return a double
To guarantee that the program is meaningful.
that it does not add a string to an integer
that variables are declared before they are used
To document the programmer's intentions.
better than comments, which are not checked by the compiler
To optimize the use of hardware.
reserve the minimal amount of memory, but not more
use the most appropriate machine instructions.
This is about a topic of compiler design, LR and SLR parsing algorithm and LR grammar, Canonical collection and Item, Conflict in LR parsing shift reduce. Classification of Bottom up parsing.
A single pass assembler scans the program only once and creates the equivalent binary program. The assembler substitute all of the symbolic instruction with machine code in one pass.
Lexical Analysis, Tokens, Patterns, Lexemes, Example pattern, Stages of a Lexical Analyzer, Regular expressions to the lexical analysis, Implementation of Lexical Analyzer, Lexical analyzer: use as generator.
Description of all types of Loaders from System programming subjects.
eg. Compile-Go Loader
General Loader
Absolute Loader
Relocating Loader
Practical Relocating Loader
Linking Loader
Linker Vs. Loader
general relocatable loader
A single pass assembler scans the program only once and creates the equivalent binary program. The assembler substitute all of the symbolic instruction with machine code in one pass.
Lexical Analysis, Tokens, Patterns, Lexemes, Example pattern, Stages of a Lexical Analyzer, Regular expressions to the lexical analysis, Implementation of Lexical Analyzer, Lexical analyzer: use as generator.
Description of all types of Loaders from System programming subjects.
eg. Compile-Go Loader
General Loader
Absolute Loader
Relocating Loader
Practical Relocating Loader
Linking Loader
Linker Vs. Loader
general relocatable loader
Theory of automata and formal languageRabia Khalid
KleenE Star Closure, Plus operation, recursive definition of languages, INTEGER, EVEN, factorial, PALINDROME, languages of strings, cursive definition of RE, defining languages by RE,Examples
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
1. Specification of Tokens
• Definitions:
• The ALPHABET (often written ∑) is the set of legal input symbols
• A STRING over some alphabet ∑ is a finite sequence of symbols
from ∑
• The LENGTH of string s is written |s|
• The EMPTY STRING is a special 0-length string denoted ε
• REGULAR EXPRESSIONS (REs) are the most
common notation for pattern specification.
• Every pattern specifies a set of strings, so an RE
names a set of strings.
2. More definitions: strings and
substrings
• A PREFIX of s is formed by removing 0 or more
trailing symbols of s
• A SUFFIX of s is formed by removing 0 or more
leading symbols of s
• A SUBSTRING of s is formed by deleting a
prefix and a suffix from s
• A PROPER prefix, suffix, or substring is a
nonempty string x that is, respectively, a prefix,
suffix, or substring of s but with x ≠ s.
3. More definitions
• A LANGUAGE is a set of strings over a fixed
alphabet ∑.
• Example languages:
– Ø (the empty set)
– { ε }
– { a, aa, aaa, aaaa }
• The CONCATENATION of two strings x and y is
written xy
• String EXPONENTIATION is written si, where s0
= ε and si = si-1s for i>0.
4. Regular expressions
• REs let us precisely define a set of strings.
• For C identifiers, we might use
letter ( letter | digit )*
• Parentheses are for grouping, | means “OR”,
and * means zero or more instances.
• Every RE ‘r’ defines a language L(r).
5. Regular expressions
• Here are the rules for writing REs over an
alphabet ∑ :
1. ε is an RE denoting { ε }, the language containing
only the empty string.
2. If ‘a’ is in ∑, then a is a RE denoting { a }.
3. If r and s are REs denoting L(r) and L(s), then
1. (r)|(s) is a RE denoting L(r) ∪ L(s)
2. (r)(s) is a RE denoting L(r) L(s)
3. (r)* is a RE denoting (L(r))*
4. (r) is a RE denoting L(r)
6. Additional conventions
• To avoid too many parentheses, we assume:
1. * has the highest precedence, and is left
associative.
2. Concatenation has the 2nd highest precedence,
and is left associative.
3. | has the lowest precedence and is left
associative.
7. Example REs
1. a | b
2. ( a | b ) ( a | b )
3. a*
4. (a | b )*
5. a | a*b
8. Equivalence of REs
Axiom Description
r|s = s|r | is commutative
r|(s|t) = (r|s)t | is associative
(rs)t = r(st) Concatenation is associative
r(s|t) = rs|rt
(s|t)r = sr|tr
Concatenation distributes over |
ε r = r
r ε = r
ε Is the identity element for concatenation
r* = (r| ε)* Relation between * and ε
r** = r* * is idempotent
9. Regular definitions
• Example for identifiers in C:
letter -> A | B | … | Z | a | b | … | z
digit -> 0 | 1 | … | 9
id -> letter ( letter | digit )*
• Example for numbers in Pascal:
digit -> 0 | 1 | … | 9
digits -> digit digit*
optional_fraction -> . digits | ε
optional_exponent -> ( E ( + | - | ε ) digits ) | ε
num -> digits optional_fraction optional_exponent