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Advanced Topics in Theory of Computation Assignment help

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Theory of computation deals with the study of algorithm which used to solve the problems. Algorithm is the set of rules that used in the problem solving operations. This is way to analyze the problems and finding solutions to these problems. Theory of computation split up into three parts which are given below:
  • Automata theory
  • Computability theory
  • Computational complexity theory
Automata theory concerns with the abstract machines and these machines used to solve the problem. Computability theory is used to solve a problem in an effective manner. Computational complexity theory tells about the process of problem solving. There are two Aspects that occurs in this process are space complexity and time complexity. Space complexity is about how much memory is needed to perform a computation and time complexity is about how many steps perform in the process of computation.
Set of operations that used in the computation is termed as model of computation. It is used to measure the complexity of an algorithm. Turing machine is the example of model of computation. Beside this, other models of computation given below:
  • Combinatory logic
  • Lambda logic
  • μ-recursive function
  • Register machine
  • Markov algorithm 
Our Theory of Computation Assignment help tutors help with topics like grammars and machines, Chomsky hierarchy, decidability;Models of computation such as Turing machines, RAM machines, Markov algorithms, Post systems, recursive functions, lambda-calculus; Computability: what problems can be solved? Problem as a 'property'/membership in a language ('computable' sets) etc
 
Few topics :
  • Programs and computable functions
  • Haskell programming language
  • Universal program
  • Recursive functions
  • Turing machines
  • Calculation on strings
  • Simulation and diagonalization.
  • Universality and unsolvable problems
  • Kleene's hierarchy and the recursion theorem
  • Abstract complexity
  • Formal languages
  • Automata
  • Propositional logic
  • Predicate logic
 
Some of the Theory of Computation assignments help topics include:
  • Universal language (Lu)
  • Diagonalization language (Ld)
  • Firmware,Memory addressing
We help with topics like properties of r.e. languages, non-re languages, Rice's theorems;  Computational complexity, relations among complexity measures, DTIME, NTIME, DSPACE, NSPACE, hierarchy theorems;Intractable problems, Polynomial time and space, NP-complete, PSPACE-complete,complements of complexity classes.
 
Computation Assignment Questions help by experts:
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Topics in formal languages: properties of FSA and regular languages, FSA with output, Myhill-Nerode theorem, DCFL, ambiguity of CFG, closure properties of (full) trios,LL(k) grammars, LR(k) grammars.
 
Our Theory of Computation Assignment help services are available 24/7:
  • Qualified & experienced tutors
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Typical topics like:
 
  • Self-modifying machines, cellular automata models (Wolfram), viruses, computer security;Stochastic machines, quantum automata (security revisited), switching networks; Applications of automata theory in coding, secure communication protocols, cryptography.
  • Alternative (natural) models of computation: neural networks, evolutionary computing, geneti c algorithms, DNA-computing, swarm technologies are really complex & the complete knowledge of the concepts is required to handle the assignments on these topics.
You can send us your assignments at support@globalwebtutors.com& our tutors are available 24/7 on phone, chat & email. Our assignment help is available at undergraduate, graduate & the research level.
 

THEORY OF COMPUTATION:

  • Automata and Language Theory, Finite automata, regular expressions, push-down automata, context free grammars, pumping lemmas., Computability Theory, Turing machines, Church-Turing thesis, decidability, halting problem, reducibility
  • Complexity Theory, Space Complexity., Randomness in Computation., Circuit Complexity, Interactive Proofs., Approximability and Inapproximability of NP-Hard Problems., Time complexity, Parallel Computation, Approximation and Randomization
  • Randomized Computation, Cryptography, Computability, Church Turing thesis, decidable , undecidable problems, elements of recursive function theory, Time complexity, logic, Boolean circuits, NP completeness, Role of randomness in computation, Models of computation,computable,noncomputable functions,space,time complexity,tractable,intractable functions
  • Argumention,Logic,rational argument,Common fallacies,Boolean algebra,Axiomatisation,Normal forms,Hardware design ,Programming,Logic gates,Circuits,Simple arithmetic induction,Weak Induction,Strong induction,Structured induction,Propositional logic,Predicate logic,Translation English into logical formulas.
  • Propositional semantics,Truth tables,First 0rder Semantics,Satisfiability,Validity,Equivalence,Kleene Algebra,Algorithms,Pseudocode,Efficiency of algorithms,Elementary operations,Examples of maths algorithms,Recurrence ,Recursion,Insertion sort,Optimisation problems,Data structures,Lists,Arrays,Linked lists,Stacks,Queues,Graphs,Trees,Tree traversal,Heaps,Greedy algorithms,Minimum spanning trees,Kruskal's algorithm,Prim's algorithm.
  • Dijkstra's algorithm,Greedy heuristics,Divide algorithms,Conquer algorithms,Binary search.,Quicksort algorith,Dynamic programming,Binomial coefficients,Floyd's algorithm,Warsall's algorithm,Greedy heuristics,greedy algorithms.
  • Searching and sorting algorithms,Elementary searching  ,comparing sequential ,binary and interpolation search ,Binary search trees ,Balanced trees ,B-trees ,Hashing,Graph algorithms:,Depth-first search of undirected and directed graphs ,Articulation points ,Strongly connected components
  • Topological sorting of acyclic graphs ,Breadth-first search of directed and undirected graphs ,Network flow ,Ford-Fulkerson method ,Euler circuits,Text algorithms:,String searching ,File compression including Huffman coding ,Cryptology including public key cryptosystems,Analysis of algorithms:,Empirical versus theoretical analysis , Algorithmic complexity ,O notation ,Best worst and average cases ,Classifications of algorithms ,Hierarchies of complexity
  • Tractable and intractable problems ,Sums of series ,Simple summation formulae , Estimating a sum using integration,Algorithms with loops:,Nested loops ,Gaussian elimination ,geometric algorithms,Prim's and Kruskal's algorithms,Recursive algorithms and recurrence relations:First-order recurrence relations ,Solving recurrence using the characteristic equation ,Change of variable , conditional asymptotic notation
  • maths algorithms including exponentiation and large multiplication,Analysis of searching and sorting algorithms:,Sequential search in ordered and unordered arrays,Binary search,Insertion sort ,mergesort , quicksort,Best case for comparison-based sorting,Reasoning about Programs:,Loop and recursion variants and proving termination,Pre and post-conditions,Loop variants and proving correctness

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