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Computational Theory Assignment Help

Computational Theory Assignment Help

To understand the fundamental concepts of automata theory, you must be well-versed in discrete mathematical structures. If you need computational theory assignment help, then worry not. With our theory of computation homework help, we deliver on-time with plagiarism-free reports. For close to a decade now, our top-rated online theory of computation experts has been helping students secure excellent grades in this subject. Our experts' guide throughout your assignment and help you understand the concepts well to be able to explain to your professors. So, make the right decision and place an order with us right away to get your assignment.

The theory of computation, also known as automata theory is a computer science branch that is concerned with designing abstract and self-propelled computing devices. These devices should automatically follow a predetermined sequence of operations. A finite automaton is a kind of automaton that has a finite number of states.This article will introduce you to the fundamental concepts of finite automata, regular languages, pushdown automata, and Turing machines and decidability.If you are pursuing a degree in any computer science or information technology-related course, then you will probably learn the theoryof computation as a unit.To understand the essential concepts of automata theory, you must be well-versed in discrete mathematicalstructures. Oz Paper Help is the preferred destination for students who need computational theory assignment help. 

Take our algorithm homework help and impress your professor with first-class solutions. We deliver the reports on time with solutions if you need help with the computational theory assignment help. Our programming assignment experts will be there for you if you need any computational theory assignment help. For close to a decade now, our top-rated online computational theory experts have been helping students secure excellent grades in this subject. So, make the best decision of placing an order with us.

What are Automata?

Automata mean “self-acting” in Greek. From this, we can define an automaton (the singular of automata) as an abstract self-propelled computing device that automatically follows a sequence of operations that have been predetermined.A Finite State Machine or Finite Automaton is an automaton with a finite number of states.

Definition of related terminologies

·Alphabet –It refers to any finite set of symbols

·String –Refers to a finite sequence of symbols taken from an alphabet set

·Length of a string –This is the number of symbols present in a string

·Kleene star –This is the unary operator on a set of symbols or strings. It gives the infinite set of all possible strings of all possible lengths.

·Language –This is the subset of Kleene star for some alphabet. It can be infinite or finite.

Now, there are two types of finite automaton:

Deterministic Finite Automaton (DFA)

In this type of finite automaton, one can determine the state to which the machine will move for each input symbol. It is for this reason why it is called a deterministic automaton.Since it has a finite number of states, hence, such a machine is called a deterministic finite automaton or deterministic finite machine.

Graphical representation of a DFA

·State diagrams, a type of digraphs are used to represent a DFA.

·The states represent the vertices

·The transitions are shown by the arcs labelled with an input alphabet

·An empty single incoming arc denotes the initial state

·The double circles indicate the final state

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Non-deterministic Finite Automaton

A machine in non-deterministic finite automaton can move to any combination of the states in the machine for a particular input symbol. In simple terms, you cannot determine the exact state to which the machine moves.

Since the machine has a finite number of states, it is called a non-deterministic Finite Automaton or non-deterministic Finite Machine.A non-deterministic finite automaton is obtained if unpredictability is introduced in a model. This can be represented as shown in the figure below. This figure representsone of the simplest examples of non-determinism in theoretical computer science.Our experts are also familiar with all the concepts associated with a non-deterministic finite automaton. You can take our computational theory assignment help service if you are stuck with the task allotted to you by your professor.

How do you convert NDFA to DFA?

Here is the algorithm that converts an NDFA to its equivalent DFA


·Input is an NDFA

The output should be an equivalent DFA

1.Create a state table from the given NDFA

2.Next, you should create a blank state table under possible input alphabets for the equivalent DFA

3.You should mark the start state of the DFA by q0. The same should be done for DFA

4.For each possible input alphabet, find out the combination of states

5.Apply step 4 again every time you generate a new DFA state under the input alphabet columns. Otherwise, go to step six.

6.The final states of the equivalent DFA are the states which contain any of the final states of the NDFA.

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Myhill-Nerode theorem in DFA Minimization


Input should be the DFA

The output should be the Minimized DFA

1.You should draw a table for all pairs of states (Qi, Qj). They should not necessarily be directly connected. Initially, they are all unmarked.

2.Take into account every state pair in the DFA and mark them. Set the final states to F.

3.Repeat step two until you cannot mark any more states. Suppose there is an unmarked pair, mark it if the pair is marked for some input alphabet.

4.Lastly, you should combine all the unmarked pairs (Qi, Qj) and make them a single state in the reduced DFA.

We have worked assignment samples on DFA minimization using the Myhill-Nerode theorem. You can visit our samples page to download them free of any cost.

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DFA Minimization using the Equivalence Theorem

Suppose we have two states, X and Y in a DFA, we can combine them into {X, Y} if they are not distinguishable. Two states are said to be distinguishable if there is one string such that one is accepting state is accepting and the other one is not.

For this reason, we can only say a DFA is minimal if and only if all the states are distinguishable.


1. Divide all states into two partitions, final states, and non-final states. They should also be denoted by P0. You should remember that all states in a partition are 0th equivalent. After that, you should take a counter k and initialize it with 0.

2. Next, you should increment k with 1. Divide the states in PK into two partitions if they are k distinguishable, for each partition in PK. We can say that two states in the partition, X and Y are distinguishable if they have any input S.

3. Repeat step 2 if PK is not equal to PK-

1. Otherwise, you should proceed to step 4.

4. Lastly, combine the Kth equivalent sets and make them the new states of the reduced DFA.

You will probably understand this algorithm better with a worked example. If you are challenged by an assignment related to this theorem, then buy a computational theorem project from us.

Our experts will ensure that they follow a step-by-step procedure while solving your homework. They will also make sure that they include comments to help you understand the solution better. We also have free worked examples on DFA minimization using the equivalence theorem. So, feel free to check out our sample repository at your convenience.

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