This document defines and provides examples of deterministic finite automata (DFAs). It begins by defining a DFA as a finite state machine where the transition function is deterministic. Formally, a DFA is defined as a 5-tuple consisting of a finite set of states, a finite input alphabet, a transition function, an initial state, and a set of final/accepting states. The document provides examples of representing DFAs using state diagrams and transition tables and discusses how to represent the extended transition function. It concludes by posing several problems about designing DFAs with certain language definitions.
NFA Non Deterministic Finite Automata by Mudasir khushikMudsaraliKhushik
NFA Non Deterministic Finite Automata.
Basics
tuples of NFA
NFA Examples
Transition Table and man more things which you want to understand like Language, Rules, Alphabets, Descriptive Method, Regular Expression, String, and Finite Automata.
NFA Non Deterministic Finite Automata by Mudasir khushikMudsaraliKhushik
NFA Non Deterministic Finite Automata.
Basics
tuples of NFA
NFA Examples
Transition Table and man more things which you want to understand like Language, Rules, Alphabets, Descriptive Method, Regular Expression, String, and Finite Automata.
Finite Automata: Deterministic And Non-deterministic Finite Automaton (DFA)Mohammad Ilyas Malik
The term "Automata" is derived from the Greek word "αὐτόματα" which means "self-acting". An automaton (Automata in plural) is an abstract self-propelled computing device which follows a predetermined sequence of operations automatically.
These slides were submitted by Muskan Bathla, Nivedit Jain and Sanskar Mani (all sophomore undergrad in Computer Science and Engineering) as a part of lecture scribing for Theory of Computation Course at Indian Institute of Technology Jodhpur, under the guidance of Dr. Anand Mishra, IIT Jodhpur
recognizer for a language, Deterministic finite automata, Non-deterministic finite automata, conversion of NFA to DFA, Regular Expression to NFA, Thomsons Construction
optimization of DFA ,compiler design,minimisation of DFA,DFA optimization,equivalence state removal,DFA optimization,partition method for DFA minimization
Finite Automata: Deterministic And Non-deterministic Finite Automaton (DFA)Mohammad Ilyas Malik
The term "Automata" is derived from the Greek word "αὐτόματα" which means "self-acting". An automaton (Automata in plural) is an abstract self-propelled computing device which follows a predetermined sequence of operations automatically.
These slides were submitted by Muskan Bathla, Nivedit Jain and Sanskar Mani (all sophomore undergrad in Computer Science and Engineering) as a part of lecture scribing for Theory of Computation Course at Indian Institute of Technology Jodhpur, under the guidance of Dr. Anand Mishra, IIT Jodhpur
recognizer for a language, Deterministic finite automata, Non-deterministic finite automata, conversion of NFA to DFA, Regular Expression to NFA, Thomsons Construction
optimization of DFA ,compiler design,minimisation of DFA,DFA optimization,equivalence state removal,DFA optimization,partition method for DFA minimization
The slide is about Non-deterministic Finite Automata and Deterministic Finite Automata. Which we created on our Theory of Computation course from Notre Dame University Bangladesh.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
2. Deterministic Finite Automaton (DFA)
In DFA, for each input symbol, one can determine
the state to which the machine will move. Hence, it
is called Deterministic Automaton.
As it has a finite number of states, the machine is
called Deterministic Finite
Machine or Deterministic Finite Automaton.
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3. Formal definition of DFA:
A DFA can be represented by a 5-tuples (Q, ∑, δ, q0,
F) where −
Q is a finite set of states.
∑ is a finite set of symbols, called the alphabet of
the automaton.
δ is the transition function.
q0 is the initial state from where any input is
processed (q0 ∈ Q).
F is a set of final state/states of Q (F ⊆ Q).
Note: δ is called Delta and ∑ is called Sigma
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4. Graphical Representation of a DFA
A DFA is represented by digraphs called state
diagram or Transition Diagram .
The vertices represent the states.
The arcs labeled with an input alphabet show the
transitions.
The initial state is denoted by an empty single
incoming arc.
The final state is indicated by double circles.
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5. Transition Table:
It is a tabular representation of a function like δ that
takes 2 arguments and returns a value.
The rows of the table correspond to the state and
the columns correspond to the inputs.
The entry for the row corresponding to state q and
the column corresponding to input a is the state
δ(q, a)
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6. Example
Let a deterministic finite automaton be →
Q = {a, b, c},
∑ = {0, 1},
q0={a},
F={c}, and
Transition function δ as shown by the following
table −
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Present State Next State for Input 0 Next State for Input 1
->a a b
b c a
c* b c
7. Example Cont..,
Its graphical representation would be as follows:
Can you guess the language of above DFA?
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8. Extended Transition Function:
Describes what happens when we start in any state
and follow any sequence of inputs
If δ is our transition function, then the extended
transition function is denoted by δ*
The extended transition function is a function that
takes a state q and a string w and returns a state p
(the state that the automaton reaches when starting
in state q and processing the sequence of inputs
w)
Formal definition :δ*(q, ǫ) = q
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9. Problems to Discuses:
1. Design DFA to accept string over ∑={0,1} with 2
consecutive 0’s.
2. Construct a DFA that accepts all strings on
∑={0,1} except those contains substring 101.
3. L= { w|w is of even length and begins with 01
over ∑={0,1} }.
4. Give DFA accepting the string starting with
substring 101 over ∑={0,1}
5. Design DFA to accept string contain number of
1’s is in multiples of 3 over ∑={0,1}.
6. Design DFA to accept string contain number of
1’s is not in multiples of 3 over ∑={0,1}.
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10. Problems (Cont..,):
7. Construct a DFA that accepts all strings on
∑={0,1} that contain exactly 4 zeros.
8. Construct a DFA over ∑={a,b} where the number
of b’s is divisible by 3.
9. Construct a DFA that accepts even binary
numbers on ∑={0,1}.
10. Construct a DFA that accepts odd binary numbers
on ∑={0,1}.
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