Table of Contents
159 relations: ACM SIGACT, Addison-Wesley, Advanced Encryption Standard, AKS primality test, Alexander Razborov, Algorithm, Algorithmic efficiency, Anil Nerode, Annals of Mathematics, Arithmetic, Artificial intelligence, Association for Computing Machinery, Average-case complexity, Avi Wigderson, Aviezri Fraenkel, Big O notation, Bitcoin, Black box, Blockchain, Boolean satisfiability problem, Cambridge University Press, Certificate (complexity), Chess, Clay Mathematics Institute, Co-NP, Co-NP-complete, Cobham's thesis, Complexity class, Composite number, Computational complexity theory, Computer programming, Computer science, Constructive proof, Cook–Levin theorem, Cornell University, Cryptocurrency, Cryptographic hash function, Cryptography, David Eppstein, Decision problem, Descriptive complexity theory, Deterministic automaton, Discrete logarithm, DLIN, Donald Knuth, Economics, Elementary (TV series), Encyclopædia Britannica, Entscheidungsproblem, EXPTIME, ... Expand index (109 more) »
- 1956 in computing
- Computer-related introductions in 1956
- Millennium Prize Problems
- Structural complexity theory
- Unsolved problems in computer science
ACM SIGACT
ACM SIGACT or SIGACT is the Association for Computing Machinery Special Interest Group on Algorithms and Computation Theory, whose purpose is support of research in theoretical computer science.
See P versus NP problem and ACM SIGACT
Addison-Wesley
Addison–Wesley is an American publisher of textbooks and computer literature.
See P versus NP problem and Addison-Wesley
Advanced Encryption Standard
The Advanced Encryption Standard (AES), also known by its original name Rijndael, is a specification for the encryption of electronic data established by the U.S. National Institute of Standards and Technology (NIST) in 2001.
See P versus NP problem and Advanced Encryption Standard
AKS primality test
The AKS primality test (also known as Agrawal–Kayal–Saxena primality test and cyclotomic AKS test) is a deterministic primality-proving algorithm created and published by Manindra Agrawal, Neeraj Kayal, and Nitin Saxena, computer scientists at the Indian Institute of Technology Kanpur, on August 6, 2002, in an article titled "PRIMES is in P".
See P versus NP problem and AKS primality test
Alexander Razborov
Aleksandr Aleksandrovich Razborov (Алекса́ндр Алекса́ндрович Разбо́ров; born February 16, 1963), sometimes known as Sasha Razborov, is a Soviet and Russian mathematician and computational theorist.
See P versus NP problem and Alexander Razborov
Algorithm
In mathematics and computer science, an algorithm is a finite sequence of mathematically rigorous instructions, typically used to solve a class of specific problems or to perform a computation.
See P versus NP problem and Algorithm
Algorithmic efficiency
In computer science, algorithmic efficiency is a property of an algorithm which relates to the amount of computational resources used by the algorithm.
See P versus NP problem and Algorithmic efficiency
Anil Nerode
Anil Nerode (born 1932) is an American mathematician, known for his work in mathematical logic and for his many-decades tenure as a professor at Cornell University.
See P versus NP problem and Anil Nerode
Annals of Mathematics
The Annals of Mathematics is a mathematical journal published every two months by Princeton University and the Institute for Advanced Study.
See P versus NP problem and Annals of Mathematics
Arithmetic
Arithmetic is an elementary branch of mathematics that studies numerical operations like addition, subtraction, multiplication, and division.
See P versus NP problem and Arithmetic
Artificial intelligence
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.
See P versus NP problem and Artificial intelligence
Association for Computing Machinery
The Association for Computing Machinery (ACM) is a US-based international learned society for computing.
See P versus NP problem and Association for Computing Machinery
Average-case complexity
In computational complexity theory, the average-case complexity of an algorithm is the amount of some computational resource (typically time) used by the algorithm, averaged over all possible inputs.
See P versus NP problem and Average-case complexity
Avi Wigderson
Avi Wigderson (אבי ויגדרזון; born 9 September 1956) is an Israeli computer scientist and mathematician.
See P versus NP problem and Avi Wigderson
Aviezri Fraenkel
Aviezri Siegmund Fraenkel (אביעזרי פרנקל) (born June 7, 1929) is an Israeli mathematician who has made contributions to combinatorial game theory.
See P versus NP problem and Aviezri Fraenkel
Big O notation
Big O notation is a mathematical notation that describes the limiting behavior of a function when the argument tends towards a particular value or infinity.
See P versus NP problem and Big O notation
Bitcoin
Bitcoin (abbreviation: BTC; sign: ₿) is the first decentralized cryptocurrency.
See P versus NP problem and Bitcoin
Black box
In science, computing, and engineering, a black box is a system which can be viewed in terms of its inputs and outputs (or transfer characteristics), without any knowledge of its internal workings.
See P versus NP problem and Black box
Blockchain
A blockchain is a distributed ledger with growing lists of records (blocks) that are securely linked together via cryptographic hashes.
See P versus NP problem and Blockchain
Boolean satisfiability problem
In logic and computer science, the Boolean satisfiability problem (sometimes called propositional satisfiability problem and abbreviated SATISFIABILITY, SAT or B-SAT) is the problem of determining if there exists an interpretation that satisfies a given Boolean formula.
See P versus NP problem and Boolean satisfiability problem
Cambridge University Press
Cambridge University Press is the university press of the University of Cambridge.
See P versus NP problem and Cambridge University Press
Certificate (complexity)
In computational complexity theory, a certificate (also called a witness) is a string that certifies the answer to a computation, or certifies the membership of some string in a language.
See P versus NP problem and Certificate (complexity)
Chess
Chess is a board game for two players.
See P versus NP problem and Chess
Clay Mathematics Institute
The Clay Mathematics Institute (CMI) is a private, non-profit foundation dedicated to increasing and disseminating mathematical knowledge.
See P versus NP problem and Clay Mathematics Institute
Co-NP
In computational complexity theory, co-NP is a complexity class.
See P versus NP problem and Co-NP
Co-NP-complete
In complexity theory, computational problems that are co-NP-complete are those that are the hardest problems in co-NP, in the sense that any problem in co-NP can be reformulated as a special case of any co-NP-complete problem with only polynomial overhead.
See P versus NP problem and Co-NP-complete
Cobham's thesis
Cobham's thesis, also known as Cobham–Edmonds thesis (named after Alan Cobham and Jack Edmonds),.
See P versus NP problem and Cobham's thesis
Complexity class
In computational complexity theory, a complexity class is a set of computational problems "of related resource-based complexity".
See P versus NP problem and Complexity class
Composite number
A composite number is a positive integer that can be formed by multiplying two smaller positive integers.
See P versus NP problem and Composite number
Computational complexity theory
In theoretical computer science and mathematics, computational complexity theory focuses on classifying computational problems according to their resource usage, and relating these classes to each other.
See P versus NP problem and Computational complexity theory
Computer programming
Computer programming or coding is the composition of sequences of instructions, called programs, that computers can follow to perform tasks.
See P versus NP problem and Computer programming
Computer science
Computer science is the study of computation, information, and automation.
See P versus NP problem and Computer science
Constructive proof
In mathematics, a constructive proof is a method of proof that demonstrates the existence of a mathematical object by creating or providing a method for creating the object.
See P versus NP problem and Constructive proof
Cook–Levin theorem
In computational complexity theory, the Cook–Levin theorem, also known as Cook's theorem, states that the Boolean satisfiability problem is NP-complete.
See P versus NP problem and Cook–Levin theorem
Cornell University
Cornell University is a private Ivy League land-grant research university based in Ithaca, New York.
See P versus NP problem and Cornell University
Cryptocurrency
A cryptocurrency, crypto-currency, or crypto is a digital currency designed to work as a medium of exchange through a computer network that is not reliant on any central authority, such as a government or bank, to uphold or maintain it.
See P versus NP problem and Cryptocurrency
Cryptographic hash function
A cryptographic hash function (CHF) is a hash algorithm (a map of an arbitrary binary string to a binary string with a fixed size of n bits) that has special properties desirable for a cryptographic application.
See P versus NP problem and Cryptographic hash function
Cryptography
Cryptography, or cryptology (from κρυπτός|translit.
See P versus NP problem and Cryptography
David Eppstein
David Arthur Eppstein (born 1963) is an American computer scientist and mathematician.
See P versus NP problem and David Eppstein
Decision problem
In computability theory and computational complexity theory, a decision problem is a computational problem that can be posed as a yes–no question of the input values.
See P versus NP problem and Decision problem
Descriptive complexity theory
Descriptive complexity is a branch of computational complexity theory and of finite model theory that characterizes complexity classes by the type of logic needed to express the languages in them.
See P versus NP problem and Descriptive complexity theory
Deterministic automaton
In computer science, a deterministic automaton is a concept of automata theory where the outcome of a transition from one state to another is determined by the input.
See P versus NP problem and Deterministic automaton
Discrete logarithm
In mathematics, for given real numbers a and b, the logarithm logb a is a number x such that. P versus NP problem and Discrete logarithm are unsolved problems in computer science.
See P versus NP problem and Discrete logarithm
DLIN
In computational complexity theory, DLIN is the class of decision problems that can be solved by a multitape Turing machine in linear time, O(n). P versus NP problem and DLIN are Structural complexity theory.
See P versus NP problem and DLIN
Donald Knuth
Donald Ervin Knuth (born January 10, 1938) is an American computer scientist and mathematician.
See P versus NP problem and Donald Knuth
Economics
Economics is a social science that studies the production, distribution, and consumption of goods and services.
See P versus NP problem and Economics
Elementary (TV series)
Elementary is an American procedural drama television series that presented a contemporary update of Sir Arthur Conan Doyle's character Sherlock Holmes.
See P versus NP problem and Elementary (TV series)
Encyclopædia Britannica
The British Encyclopaedia is a general knowledge English-language encyclopaedia.
See P versus NP problem and Encyclopædia Britannica
Entscheidungsproblem
In mathematics and computer science, the paren) is a challenge posed by David Hilbert and Wilhelm Ackermann in 1928. It asks for an algorithm that considers an inputted statement and answers "yes" or "no" according to whether it is universally valid, i.e., valid in every structure.
See P versus NP problem and Entscheidungsproblem
EXPTIME
In computational complexity theory, the complexity class EXPTIME (sometimes called EXP or DEXPTIME) is the set of all decision problems that are solvable by a deterministic Turing machine in exponential time, i.e., in O(2p(n)) time, where p(n) is a polynomial function of n. EXPTIME is one intuitive class in an exponential hierarchy of complexity classes with increasingly more complex oracles or quantifier alternations.
See P versus NP problem and EXPTIME
Fermat's Last Theorem
In number theory, Fermat's Last Theorem (sometimes called Fermat's conjecture, especially in older texts) states that no three positive integers,, and satisfy the equation for any integer value of greater than.
See P versus NP problem and Fermat's Last Theorem
First-order logic
First-order logic—also called predicate logic, predicate calculus, quantificational logic—is a collection of formal systems used in mathematics, philosophy, linguistics, and computer science.
See P versus NP problem and First-order logic
Fixed-point combinator
In combinatory logic for computer science, a fixed-point combinator (or fixpoint combinator), is a higher-order function (i.e. a function which takes a function as argument) that returns some ''fixed point'' (a value that is mapped to itself) of its argument function, if one exists.
See P versus NP problem and Fixed-point combinator
Game complexity
Combinatorial game theory measures game complexity in several ways.
See P versus NP problem and Game complexity
Game theory
Game theory is the study of mathematical models of strategic interactions.
See P versus NP problem and Game theory
General number field sieve
In number theory, the general number field sieve (GNFS) is the most efficient classical algorithm known for factoring integers larger than.
See P versus NP problem and General number field sieve
Gerhard J. Woeginger
Gerhard J. Woeginger (31 May 1964 – 1 April 2022) was an Austrian mathematician and computer scientist who worked in Germany as a professor at RWTH Aachen University, where he chaired the algorithms and complexity group in the department of computer science.
See P versus NP problem and Gerhard J. Woeginger
Graph (discrete mathematics)
In discrete mathematics, particularly in graph theory, a graph is a structure consisting of a set of objects where some pairs of the objects are in some sense "related".
See P versus NP problem and Graph (discrete mathematics)
Graph isomorphism
In graph theory, an isomorphism of graphs G and H is a bijection between the vertex sets of G and H such that any two vertices u and v of G are adjacent in G if and only if f(u) and f(v) are adjacent in H. This kind of bijection is commonly described as "edge-preserving bijection", in accordance with the general notion of isomorphism being a structure-preserving bijection.
See P versus NP problem and Graph isomorphism
Graph isomorphism problem
The graph isomorphism problem is the computational problem of determining whether two finite graphs are isomorphic. P versus NP problem and graph isomorphism problem are unsolved problems in computer science.
See P versus NP problem and Graph isomorphism problem
Graph minor
In graph theory, an undirected graph is called a minor of the graph if can be formed from by deleting edges, vertices and by contracting edges.
See P versus NP problem and Graph minor
Halting problem
In computability theory, the halting problem is the problem of determining, from a description of an arbitrary computer program and an input, whether the program will finish running, or continue to run forever.
See P versus NP problem and Halting problem
Hilbert's tenth problem
Hilbert's tenth problem is the tenth on the list of mathematical problems that the German mathematician David Hilbert posed in 1900.
See P versus NP problem and Hilbert's tenth problem
Independence (mathematical logic)
In mathematical logic, independence is the unprovability of a sentence from other sentences.
See P versus NP problem and Independence (mathematical logic)
Information-theoretic security
A cryptosystem is considered to have information-theoretic security (also called unconditional security) if the system is secure against adversaries with unlimited computing resources and time.
See P versus NP problem and Information-theoretic security
Integer factorization
In number theory, integer factorization is the decomposition of a positive integer into a product of integers. P versus NP problem and integer factorization are unsolved problems in computer science.
See P versus NP problem and Integer factorization
Integer programming
An integer programming problem is a mathematical optimization or feasibility program in which some or all of the variables are restricted to be integers.
See P versus NP problem and Integer programming
IP (complexity)
In computational complexity theory, the class IP (interactive proof) is the class of problems solvable by an interactive proof system.
See P versus NP problem and IP (complexity)
John Forbes Nash Jr.
John Forbes Nash, Jr. (June 13, 1928 – May 23, 2015), known and published as John Nash, was an American mathematician who made fundamental contributions to game theory, real algebraic geometry, differential geometry, and partial differential equations.
See P versus NP problem and John Forbes Nash Jr.
John Markoff
John Gregory Markoff (born October 24, 1949) is a journalist best known for his work covering technology at The New York Times for 28 years until his retirement in 2016, and a book and series of articles about the 1990s pursuit and capture of hacker Kevin Mitnick.
See P versus NP problem and John Markoff
John von Neumann
John von Neumann (Neumann János Lajos; December 28, 1903 – February 8, 1957) was a Hungarian and American mathematician, physicist, computer scientist, engineer and polymath.
See P versus NP problem and John von Neumann
Journal of Combinatorial Theory
The Journal of Combinatorial Theory, Series A and Series B, are mathematical journals specializing in combinatorics and related areas.
See P versus NP problem and Journal of Combinatorial Theory
Journal of the Operational Research Society
The Journal of the Operational Research Society is a monthly peer-reviewed academic journal covering operations research.
See P versus NP problem and Journal of the Operational Research Society
Karp's 21 NP-complete problems
In computational complexity theory, Karp's 21 NP-complete problems are a set of computational problems which are NP-complete.
See P versus NP problem and Karp's 21 NP-complete problems
Knapsack problem
The knapsack problem is the following problem in combinatorial optimization: It derives its name from the problem faced by someone who is constrained by a fixed-size knapsack and must fill it with the most valuable items.
See P versus NP problem and Knapsack problem
Knuth's up-arrow notation
In mathematics, Knuth's up-arrow notation is a method of notation for very large integers, introduced by Donald Knuth in 1976.
See P versus NP problem and Knuth's up-arrow notation
Kurt Gödel
Kurt Friedrich Gödel (April 28, 1906 – January 14, 1978) was a logician, mathematician, and philosopher.
See P versus NP problem and Kurt Gödel
Lance Fortnow
Lance Jeremy Fortnow (born August 15, 1963) is a computer scientist known for major results in computational complexity and interactive proof systems.
See P versus NP problem and Lance Fortnow
Latin square
In combinatorics and in experimental design, a Latin square is an n × n array filled with n different symbols, each occurring exactly once in each row and exactly once in each column.
See P versus NP problem and Latin square
László Babai
László "Laci" Babai (born July 20, 1950, in Budapest) from Babai's web site, retrieved 2016-01-28.
See P versus NP problem and László Babai
Leonid Levin
Leonid Anatolievich Levin (Леони́д Анато́льевич Ле́вин; Леоні́д Анато́лійович Ле́він; born November 2, 1948) is a Soviet-American mathematician and computer scientist.
See P versus NP problem and Leonid Levin
Linear programming
Linear programming (LP), also called linear optimization, is a method to achieve the best outcome (such as maximum profit or lowest cost) in a mathematical model whose requirements and objective are represented by linear relationships.
See P versus NP problem and Linear programming
List of NP-complete problems
This is a list of some of the more commonly known problems that are NP-complete when expressed as decision problems.
See P versus NP problem and List of NP-complete problems
List of unsolved problems in computer science
This article is a list of notable unsolved problems in computer science. P versus NP problem and list of unsolved problems in computer science are conjectures and unsolved problems in computer science.
See P versus NP problem and List of unsolved problems in computer science
List of unsolved problems in mathematics
Many mathematical problems have been stated but not yet solved. P versus NP problem and List of unsolved problems in mathematics are conjectures and unsolved problems in mathematics.
See P versus NP problem and List of unsolved problems in mathematics
Michael J. Fischer
Michael John Fischer (born 1942) is an American computer scientist who works in the fields of distributed computing, parallel computing, cryptography, algorithms and data structures, and computational complexity.
See P versus NP problem and Michael J. Fischer
Michael O. Rabin
Michael Oser Rabin (מִיכָאֵל עוזר רַבִּין; born September 1, 1931) is an Israeli mathematician, computer scientist, and recipient of the Turing Award.
See P versus NP problem and Michael O. Rabin
Millennium Prize Problems
The Millennium Prize Problems are seven well-known complex mathematical problems selected by the Clay Mathematics Institute in 2000. P versus NP problem and Millennium Prize Problems are unsolved problems in mathematics.
See P versus NP problem and Millennium Prize Problems
MIT Press
The MIT Press is a university press affiliated with the Massachusetts Institute of Technology (MIT) in Cambridge, Massachusetts.
See P versus NP problem and MIT Press
Moshe Vardi
Moshe Ya'akov Vardi (משה יעקב ורדי) is an Israeli mathematician and computer scientist.
See P versus NP problem and Moshe Vardi
Multipartite graph
In graph theory, a part of mathematics, a -partite graph is a graph whose vertices are (or can be) partitioned into different independent sets.
See P versus NP problem and Multipartite graph
National Security Agency
The National Security Agency (NSA) is an intelligence agency of the United States Department of Defense, under the authority of the Director of National Intelligence (DNI).
See P versus NP problem and National Security Agency
Natural proof
In computational complexity theory, a natural proof is a certain kind of proof establishing that one complexity class differs from another one.
See P versus NP problem and Natural proof
NLIN
In computational complexity theory, NLIN is the class of decision problems that can be solved by a nondeterministic multitape Turing machine in linear time, O(n). P versus NP problem and NLIN are Structural complexity theory.
See P versus NP problem and NLIN
Nondeterministic Turing machine
In theoretical computer science, a nondeterministic Turing machine (NTM) is a theoretical model of computation whose governing rules specify more than one possible action when in some given situations.
See P versus NP problem and Nondeterministic Turing machine
NP (complexity)
In computational complexity theory, NP (nondeterministic polynomial time) is a complexity class used to classify decision problems.
See P versus NP problem and NP (complexity)
NP-completeness
In computational complexity theory, a problem is NP-complete when. P versus NP problem and NP-completeness are mathematical optimization.
See P versus NP problem and NP-completeness
NP-hardness
In computational complexity theory, a computational problem H is called NP-hard if, for every problem L which can be solved in non-deterministic polynomial-time, there is a polynomial-time reduction from L to H. That is, assuming a solution for H takes 1 unit time, Hs solution can be used to solve L in polynomial time.
See P versus NP problem and NP-hardness
One-way function
In computer science, a one-way function is a function that is easy to compute on every input, but hard to invert given the image of a random input. P versus NP problem and one-way function are unsolved problems in computer science.
See P versus NP problem and One-way function
Operations research
Operations research (operational research) (U.S. Air Force Specialty Code: Operations Analysis), often shortened to the initialism OR, is a discipline that deals with the development and application of analytical methods to improve decision-making.
See P versus NP problem and Operations research
Oracle machine
In complexity theory and computability theory, an oracle machine is an abstract machine used to study decision problems.
See P versus NP problem and Oracle machine
P (complexity)
In computational complexity theory, P, also known as PTIME or DTIME(nO(1)), is a fundamental complexity class.
See P versus NP problem and P (complexity)
Peano axioms
In mathematical logic, the Peano axioms, also known as the Dedekind–Peano axioms or the Peano postulates, are axioms for the natural numbers presented by the 19th-century Italian mathematician Giuseppe Peano.
See P versus NP problem and Peano axioms
Pearson Education
Pearson Education, known since 2011 as simply Pearson, is the educational publishing and services subsidiary of the international corporation Pearson plc.
See P versus NP problem and Pearson Education
PH (complexity)
In computational complexity theory, the complexity class PH is the union of all complexity classes in the polynomial hierarchy: PH was first defined by Larry Stockmeyer.
See P versus NP problem and PH (complexity)
Philosophy
Philosophy ('love of wisdom' in Ancient Greek) is a systematic study of general and fundamental questions concerning topics like existence, reason, knowledge, value, mind, and language.
See P versus NP problem and Philosophy
Polynomial
In mathematics, a polynomial is a mathematical expression consisting of indeterminates (also called variables) and coefficients, that involves only the operations of addition, subtraction, multiplication and exponentiation to nonnegative integer powers, and has a finite number of terms.
See P versus NP problem and Polynomial
Polynomial hierarchy
In computational complexity theory, the polynomial hierarchy (sometimes called the polynomial-time hierarchy) is a hierarchy of complexity classes that generalize the classes NP and co-NP. P versus NP problem and polynomial hierarchy are Structural complexity theory.
See P versus NP problem and Polynomial hierarchy
Polynomial-time reduction
In computational complexity theory, a polynomial-time reduction is a method for solving one problem using another.
See P versus NP problem and Polynomial-time reduction
Presburger arithmetic
Presburger arithmetic is the first-order theory of the natural numbers with addition, named in honor of Mojżesz Presburger, who introduced it in 1929.
See P versus NP problem and Presburger arithmetic
Princeton University
Princeton University is a private Ivy League research university in Princeton, New Jersey.
See P versus NP problem and Princeton University
Protein structure prediction
Protein structure prediction is the inference of the three-dimensional structure of a protein from its amino acid sequence—that is, the prediction of its secondary and tertiary structure from primary structure.
See P versus NP problem and Protein structure prediction
PSPACE
In computational complexity theory, PSPACE is the set of all decision problems that can be solved by a Turing machine using a polynomial amount of space.
See P versus NP problem and PSPACE
Public-key cryptography
Public-key cryptography, or asymmetric cryptography, is the field of cryptographic systems that use pairs of related keys.
See P versus NP problem and Public-key cryptography
Quantum algorithm
In quantum computing, a quantum algorithm is an algorithm that runs on a realistic model of quantum computation, the most commonly used model being the quantum circuit model of computation.
See P versus NP problem and Quantum algorithm
Quantum complexity theory
Quantum complexity theory is the subfield of computational complexity theory that deals with complexity classes defined using quantum computers, a computational model based on quantum mechanics.
See P versus NP problem and Quantum complexity theory
Quantum computing
A quantum computer is a computer that exploits quantum mechanical phenomena.
See P versus NP problem and Quantum computing
Quasi-polynomial time
In computational complexity theory and the analysis of algorithms, an algorithm is said to take quasi-polynomial time if its time complexity is quasi-polynomially bounded.
See P versus NP problem and Quasi-polynomial time
R (complexity)
In computational complexity theory, R is the class of decision problems solvable by a Turing machine, which is the set of all recursive languages (also called decidable languages).
See P versus NP problem and R (complexity)
Randomized algorithm
A randomized algorithm is an algorithm that employs a degree of randomness as part of its logic or procedure.
See P versus NP problem and Randomized algorithm
RE (complexity)
In computability theory and computational complexity theory, RE (recursively enumerable) is the class of decision problems for which a 'yes' answer can be verified by a Turing machine in a finite amount of time.
See P versus NP problem and RE (complexity)
Reduction (complexity)
In computability theory and computational complexity theory, a reduction is an algorithm for transforming one problem into another problem. P versus NP problem and reduction (complexity) are Structural complexity theory.
See P versus NP problem and Reduction (complexity)
Rice University
Rice University, formally William Marsh Rice University, is a private research university in Houston, Texas, United States.
See P versus NP problem and Rice University
Richard E. Ladner
Richard Emil Ladner is an American computer scientist known for his contributions to both theoretical computer science and assistive technology.
See P versus NP problem and Richard E. Ladner
Robert M. Solovay
Robert Martin Solovay (born December 15, 1938) is an American mathematician working in set theory.
See P versus NP problem and Robert M. Solovay
RSA (cryptosystem)
RSA (Rivest–Shamir–Adleman) is a public-key cryptosystem, one of the oldest widely used for secure data transmission.
See P versus NP problem and RSA (cryptosystem)
Russell Impagliazzo
Russell Graham Impagliazzo is a professor of computer science at the University of California, San Diego, specializing in computational complexity theory.
See P versus NP problem and Russell Impagliazzo
Scientific American
Scientific American, informally abbreviated SciAm or sometimes SA, is an American popular science magazine.
See P versus NP problem and Scientific American
Scott Aaronson
Scott Joel Aaronson (born May 21, 1981) is an American theoretical computer scientist and Schlumberger Centennial Chair of Computer Science at the University of Texas at Austin.
See P versus NP problem and Scott Aaronson
Second-order logic
In logic and mathematics, second-order logic is an extension of first-order logic, which itself is an extension of propositional logic.
See P versus NP problem and Second-order logic
Shor's algorithm
Shor's algorithm is a quantum algorithm for finding the prime factors of an integer.
See P versus NP problem and Shor's algorithm
SIAM Journal on Computing
The SIAM Journal on Computing is a scientific journal focusing on the mathematical and formal aspects of computer science.
See P versus NP problem and SIAM Journal on Computing
Signature (logic)
In logic, especially mathematical logic, a signature lists and describes the non-logical symbols of a formal language.
See P versus NP problem and Signature (logic)
Simplex algorithm
In mathematical optimization, Dantzig's simplex algorithm (or simplex method) is a popular algorithm for linear programming.
See P versus NP problem and Simplex algorithm
Stephen Cook
Stephen Arthur Cook (born December 14, 1939) is an American-Canadian computer scientist and mathematician who has made significant contributions to the fields of complexity theory and proof complexity.
See P versus NP problem and Stephen Cook
Steven Rudich
Steven Rudich (born October 4, 1961) is a professor in the Carnegie Mellon School of Computer Science.
See P versus NP problem and Steven Rudich
String (computer science)
In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable.
See P versus NP problem and String (computer science)
Subset sum problem
The subset sum problem (SSP) is a decision problem in computer science.
See P versus NP problem and Subset sum problem
Sudoku
Sudoku (digit-single; originally called Number Place) is a logic-based, combinatorial number-placement puzzle.
See P versus NP problem and Sudoku
Symmetric-key algorithm
Symmetric-key algorithms are algorithms for cryptography that use the same cryptographic keys for both the encryption of plaintext and the decryption of ciphertext.
See P versus NP problem and Symmetric-key algorithm
The Simpsons
The Simpsons is an American animated sitcom created by Matt Groening for the Fox Broadcasting Company.
See P versus NP problem and The Simpsons
Theoretical computer science
Theoretical computer science is a subfield of computer science and mathematics that focuses on the abstract and mathematical foundations of computation.
See P versus NP problem and Theoretical computer science
Theory of computation
In theoretical computer science and mathematics, the theory of computation is the branch that deals with what problems can be solved on a model of computation, using an algorithm, how efficiently they can be solved or to what degree (e.g., approximate solutions versus precise ones).
See P versus NP problem and Theory of computation
Time complexity
In theoretical computer science, the time complexity is the computational complexity that describes the amount of computer time it takes to run an algorithm.
See P versus NP problem and Time complexity
Time hierarchy theorem
In computational complexity theory, the time hierarchy theorems are important statements about time-bounded computation on Turing machines. P versus NP problem and time hierarchy theorem are Structural complexity theory.
See P versus NP problem and Time hierarchy theorem
Total order
In mathematics, a total order or linear order is a partial order in which any two elements are comparable.
See P versus NP problem and Total order
Travelling Salesman (2012 film)
Travelling Salesman is a 2012 intellectual thriller film about four mathematicians who solve the P versus NP problem, one of the most challenging mathematical problems in history.
See P versus NP problem and Travelling Salesman (2012 film)
Travelling salesman problem
The travelling salesman problem, also known as the travelling salesperson problem (TSP), asks the following question: "Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and returns to the origin city?" It is an NP-hard problem in combinatorial optimization, important in theoretical computer science and operations research.
See P versus NP problem and Travelling salesman problem
Treehouse of Horror VI
"Treehouse of Horror VI" is the sixth episode of the seventh season of the American animated television series The Simpsons, and the sixth episode in the Treehouse of Horror series.
See P versus NP problem and Treehouse of Horror VI
Triple DES
In cryptography, Triple DES (3DES or TDES), officially the Triple Data Encryption Algorithm (TDEA or Triple DEA), is a symmetric-key block cipher, which applies the DES cipher algorithm three times to each data block.
See P versus NP problem and Triple DES
Turing machine
A Turing machine is a mathematical model of computation describing an abstract machine that manipulates symbols on a strip of tape according to a table of rules.
See P versus NP problem and Turing machine
Undecidable problem
In computability theory and computational complexity theory, an undecidable problem is a decision problem for which it is proved to be impossible to construct an algorithm that always leads to a correct yes-or-no answer.
See P versus NP problem and Undecidable problem
Unique games conjecture
In computational complexity theory, the unique games conjecture (often referred to as UGC) is a conjecture made by Subhash Khot in 2002. P versus NP problem and unique games conjecture are conjectures and unsolved problems in computer science.
See P versus NP problem and Unique games conjecture
Universal quantification
In mathematical logic, a universal quantification is a type of quantifier, a logical constant which is interpreted as "given any", "for all", or "for any".
See P versus NP problem and Universal quantification
University of Texas at Austin
The University of Texas at Austin (UT Austin, UT, or Texas) is a public research university in Austin, Texas.
See P versus NP problem and University of Texas at Austin
UP (complexity)
In complexity theory, UP (unambiguous non-deterministic polynomial-time) is the complexity class of decision problems solvable in polynomial time on an unambiguous Turing machine with at most one accepting path for each input.
See P versus NP problem and UP (complexity)
William Gasarch
William Ian Gasarch (born 1959) is an American computer scientist known for his work in computational complexity theory, computability theory, computational learning theory, and Ramsey theory.
See P versus NP problem and William Gasarch
YouTube
YouTube is an American online video sharing platform owned by Google.
See P versus NP problem and YouTube
Zermelo–Fraenkel set theory
In set theory, Zermelo–Fraenkel set theory, named after mathematicians Ernst Zermelo and Abraham Fraenkel, is an axiomatic system that was proposed in the early twentieth century in order to formulate a theory of sets free of paradoxes such as Russell's paradox.
See P versus NP problem and Zermelo–Fraenkel set theory
See also
1956 in computing
- Chomsky hierarchy
- Context-free grammar
- Dartmouth workshop
- MIT Computation Center
- P versus NP problem
Computer-related introductions in 1956
- Bendix G-15
- GM-NAA I/O
- IBM 305 RAMAC
- IBM 370 printer
- Metrovick 950
- P versus NP problem
- Programmable ROM
- Shockley Semiconductor Laboratory
Millennium Prize Problems
- Birch and Swinnerton-Dyer conjecture
- Hodge conjecture
- Millennium Prize Problems
- Navier–Stokes existence and smoothness
- P versus NP problem
- Poincaré conjecture
- Riemann hypothesis
- Yang–Mills existence and mass gap
Structural complexity theory
- Berman–Hartmanis conjecture
- Blum axioms
- Complexity classes
- Compression theorem
- DLIN
- Immerman–Szelepcsényi theorem
- Low and high hierarchies
- NLIN
- P versus NP problem
- Polynomial creativity
- Polynomial hierarchy
- Reduction (complexity)
- Resource-bounded measure
- Savitch's theorem
- Sipser–Lautemann theorem
- Space hierarchy theorem
- Structural complexity theory
- Time hierarchy theorem
- Toda's theorem
- Valiant–Vazirani theorem
Unsolved problems in computer science
- 3SUM
- Aanderaa–Karp–Rosenberg conjecture
- Artificial general intelligence
- Artificial intelligence content detection
- Artificial wisdom
- Berman–Hartmanis conjecture
- Computational complexity of mathematical operations
- Computational complexity of matrix multiplication
- Discrete logarithm
- Expression problem
- Generalized star-height problem
- Gilbert–Pollack conjecture
- Graph isomorphism problem
- Integer factorization
- K-server problem
- List of unsolved problems in computer science
- Log-rank conjecture
- Matrix mortality problem
- One-way function
- P versus NP problem
- Separating words problem
- Synchronizing word
- Unique games conjecture
- X + Y sorting
References
Also known as Algebrization, Complexity classes P and NP, NP = P, NP conjecture, NP problem, NP versus P conjecture, NP versus P problem, NP=P, NP=P problem, Np vs p, P = NP, P = NP problem, P = NP?, P ? NP, P Versus NP, P and NP, P conjecture, P is not NP, P v NP, P versus NP conjecture, P vs NP, P vs NP problem, P vs. NP, P vs. NP problem, P!=NP, P/=NP, P/NP Problem, P==NP, P=?NP, P=NP, P=NP problem, P=NP?, P≟NP, P≟NP problem, Smale's third problem, Succinct problem, Succinct problems, Vinay Deolalikar, Vinay Deolilakar.