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1. Partial functions 2. Partially computable functions 3. Class web page is at http://vkedco.blogspot.com/2011/08/theory-of-computation-home.html 4. Referenc...
1) Partially computable functions 2) Computable functions 3) Class web page is at http://vkedco.blogspot.com/2011/08/theory-of-computation-home.html 4) Video...
What is Computable function? A report all about Computable function for homework/assignment Computable functions are the basic objects of study in computability theory. Computable functions are the formalized analogue of the intuitive notion of algorithm. They are used to discuss computability without referring to any concrete model of computation such as Turing machines or register machines. Any definition, however, must make reference to some specific model of computation but all valid definitions yield the same class of functions.Particular models of computability that give rise to the set of computable functions are the Turing-computable functions and the μ-recursive functions. Intro/Outro music: Discovery Hit/Chucky the Construction Worker - Kevin MacLeod (incompetech.com) Licensed under CC-BY-3.0 Text derived from: http://en.wikipedia.org/wiki/Computable_function Text to Speech powered by voice-rss.com Images are Public Domain or CC-BY-3.0: 8586176dbfebb230dc8e4e0db9aa4367.png from http://en.wikipedia.org/wiki/Halting_problem d5b3e6a28a5ec1f8bdacb84a160cf3fe.png from http://en.wikipedia.org/wiki/Computable_number e7710ec5d5880a8b7114bc4471b84da7.png from http://en.wikipedia.org/wiki/Computable_number 500px-Universal_Turing_machine.svg.png from http://en.wikipedia.org/wiki/Universal_Turing_machine 9dd6c05179403906880d2c028164cea8.png from http://en.wikipedia.org/wiki/Computable_function
Talk by ACM A.M. Turing Laureate Dana S. Scott during the ACM A.M. Turing Centenary Celebration, June, 2012. Abstract: A very fast development in the early 1...
Math 574, Topics in Logic Penn State, Spring 2014 Instructor: Jan Reimann
Formal Languages and Automata Theory by Dr. Diganta Goswami & Dr. K.V. Krishna,Department of Mathematics,IIT Guwahati.For more details on NPTEL visit http://nptel.ac.in.
In computability theory, primitive recursive functions are a class of functions that are defined using primitive recursion and composition as central operations and are a strict subset of the total µ-recursive functions (µ-recursive functions are also called partial recursive). Primitive recursive functions form an important building block on the way to a full formalization of computability. These functions are also important in proof theory. The term was coined by Rózsa Péter. Most of the functions normally studied in number theory are primitive recursive. For example: addition, division, factorial, exponential and the nth prime are all primitive recursive. So are many approximations to real-valued functions. In fact, it is difficult to devise a computable function that is not primitive recursive, although some are known (see the section on Limitations below). The set of primitive recursive functions is known as PR in computational complexity theory. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
What is Computability theory? A report all about Computability theory for homework/assignment Computability theory, also called recursion theory, is a branch of mathematical logic, of computer science, and of the theory of computation that originated in the 1930s with the study of computable functions and Turing degrees. Intro/Outro music: Discovery Hit/Chucky the Construction Worker - Kevin MacLeod (incompetech.com) Licensed under CC-BY-3.0 Text derived from: http://en.wikipedia.org/wiki/Computability_theory Text to Speech powered by voice-rss.com Images are Public Domain or CC-BY-3.0: 700px-Theoretical_computer_science.svg.png from http://en.wikipedia.org/wiki/Computational_complexity_theory da5c99015af56028f27cac4d03bc634f.png from http://en.wikipedia.org/wiki/Computability_theory Barry_Cooper.jpg from http://en.wikipedia.org/wiki/S._Barry_Cooper Maquina.png from http://en.wikipedia.org/wiki/Theory_of_computation 1200px-Theoretical_computer_science.svg.png from http://en.wikipedia.org/wiki/Wikipedia_talk:WikiProject_Computer_science/Archive_8 64cb0da20570d65cab34484bf9a17a41.png from http://en.wikipedia.org/wiki/Low_basis_theorem 79ab2d1eb181c17ad36b507fd313bf4d.png from http://en.wikipedia.org/wiki/Counting_problem_(complexity)
1) Scientific theories, primitives, and constructive devices 2) Function composition 3) Function composition of partially computable functions is partially c...
1. Examples of showing that functions obtained from computable functions by composition are computable 2. Definition of primitive recursion (recursion) 3. Vi...
1. A constructive method of obtaining a total function from two other total functions by primitive recursion 2. Primitive recursion preserves computability: ...
1. Composition and primitive recursion as constructive methods 2. Does primitive recursion define computability? 3. Three primitives of the theory of primiti...
A quick summary of Kripke's recent argument that the Church-Turing thesis, which is the claim that any effectively or algorithmically computable function can...
1. Primitive recursion 2. If a function is obtained from a computable function by primitive recursion, the function is computable 3. Course web page is at ht...
Kolmogorov complexity of a binary string x is defined as the minimal length of a program that produces x. This quantity depends on the programming language, but the difference is O(1) if we choose different optimal languages. The Kolmogorov complexity K(x), informally speaking, is the quantity of information in x, measured in bits. It can be used to define other information notions; for example, the amount of mutual information between x and y can be defined as K(x)+K(y)-K(x,y). In this way we get an information theory version for individual strings which is somehow parallel to the Shannon information theory (for random variables). We can prove some information inequalities (in fact, the same that are true for Shannon entropy, as Romashchenko has shown); some other results (e.g., Slepian-Wolf theorem about conditional coding, or the problem of common information) also have interesting counterparts in algorithmic information theory. Kolmogorov complexity theory can be considered as a part of general computation theory (=recursion theory); for example, one can show that Kolmogorov complexity is not a computable function, and, moreover, we can solve halting program if somebody tells us Kolmogorov complexities of all strings. The classical probability theory is a well-established mathematical theory, but its relation to the "real world" is not so clear. Why we reject the hypothesis of a fair coin seeing the sequence 010101010... of 1000 alternating zeros and ones, and at the same time are ready to believe in the fairness of the coin for some other sequences of observations? Any two sequences have the same probability, so why some of them are random-looking while others are not? One of the explanations is the difference in complexity. One can formally define a notion of a random individual (infinite) sequence of zeros and ones (it was done by Martin-L), and this notion can be equivalently characterized in terms of complexity. The Kolmogorov complexity can be used as a language that replaces probabilistic arguments in the existence proofs (and this sometimes makes them easier or more intuitive). For example, there is a very nice proof of effective Lovasz local lemma that uses Kolmogorov complexity. After introducing the basic notions, I will try to cover some of these results (depending on the interests of the audience). No special background is assumed, but you should not be afraid of words "computable function" or "random variable".
Kolmogorov complexity of a binary string x is defined as the minimal length of a program that produces x. This quantity depends on the programming language, ...
Kolmogorov complexity of a binary string x is defined as the minimal length of a program that produces x. This quantity depends on the programming language, ...
The security of asymmetric crypto algorithms today like RSA and ECC is based on mathematical operations, that have no computable "reverse function" in classical mathematics. Shor (1994) has shown that both algorithms can be broken by using a quantum computer – and the development in this field has speed up during the last years commercial systems today work with 500 and more Q bits (although adiabatic and not as an ideal quantum computer). Therefore it is time to focus our attention on post-quantum cryptology that is not compromised by quantum computers. If we don't start today, we will probably not be ready if we really need the new algorithms…
Teori Bahasa dan Otomata - Mesin Turing Mesin Turing adalah model komputasi teoritis yang ditemukan oleh Alan Turing, berfungsi sebagai model ideal untuk melakukan perhitungan matematis. Walaupun model ideal ini diperkenalkan sebelum komputer nyata dibangun, model ini tetap diterima kalangan ilmu komputer sebagai model komputer yang sesuai untuk menentukan apakah suatu fungsi dapat selesaikan oleh komputer atau tidak (menentukan computable function). Mesin Turing terkenal dengan ungkapan ” Apapun yang bisa dilakukan oleh Mesin Turing pasti bisa dilakukan oleh komputer.”
The Busy Beaver game, pointless? Or a lesson in the problems of computability? - How do you decide if something can be computed or not? Professor Brailsford's code and further reading: http://bit....
Kolmogorov complexity of a binary string x is defined as the minimal length of a program that produces x. This quantity depends on the programming language, ...
"The Shiv tattava (Divine Consciousness as Shiva) is inactive, while the Shakti tattava (Divine Energy as Kali) is active. Shiva, or Mahadeva represents Brah...
Kolmogorov complexity of a binary string x is defined as the minimal length of a program that produces x. This quantity depends on the programming language, ...
Computable functions are the basic objects of study in computability theory. Computable functions are the formalized analogue of the intuitive notion of algorithm. They are used to discuss computability without referring to any concrete model of computation such as Turing machines or register machines. Any definition, however, must make reference to some specific model of computation but all valid definitions yield the same class of functions. Particular models of computability that give rise to the set of computable functions are the Turing-computable functions and the μ-recursive functions.
Before the precise definition of computable function, mathematicians often used the informal term effectively calculable. This term has since come to be identified with the computable functions. Note that the effective computability of these functions does not imply that they can be efficiently computed (i.e. computed within a reasonable amount of time). In fact, for some effectively calculable functions it can be shown that any algorithm that computes them will be very inefficient in the sense that the running time of the algorithm increases exponentially (or even superexponentially) with the length of the input. The fields of feasible computability and computational complexity study functions that can be computed efficiently.