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Length of expression as combination of 1s
In number theory, the complexity of an integer is the smallest number of ones that can be used to represent it using ones and any number of additions,
Integer_complexity
Decomposition of a number into a product
decomposition of a positive integer into a product of integers. Every positive integer greater than 1 is either the product of two or more integer factors greater
Integer_factorization
Number in {..., –2, –1, 0, 1, 2, ...}
factorization of a positive integer Complex integer Hyperinteger Integer complexity Integer lattice Integer part Integer sequence Integer-valued function Mathematical
Integer
Algorithmic runtime requirements for common math procedures
stands in for the complexity of the chosen multiplication algorithm. This table lists the complexity of mathematical operations on integers. On stronger computational
Computational complexity of mathematical operations
Computational_complexity_of_mathematical_operations
Inherent difficulty of computational problems
In theoretical computer science and mathematics, computational complexity theory focuses on classifying computational problems according to their resource
Computational complexity theory
Computational_complexity_theory
Mathematical optimization problem restricted to integers
An integer programming, also known as integer optimization, problem is a mathematical optimization or feasibility program in which some or all of the variables
Integer_programming
Amount of resources to perform an algorithm
arithmetic complexity. For example, the arithmetic complexity of the computation of the determinant of a n×n integer matrix is O ( n 3 ) {\displaystyle O(n^{3})}
Computational_complexity
Complexity class used to classify decision problems
problems in computer science In computational complexity theory, NP (nondeterministic polynomial time) is a complexity class used to classify decision problems
NP_(complexity)
Estimate of time taken for running an algorithm
the time complexity is the computational complexity that describes the amount of computer time it takes to run an algorithm. Time complexity is commonly
Time_complexity
Topics referred to by the same term
01 Complexity (journal) Computational complexity, of algorithms Computational complexity theory Game complexity, in combinatorial game theory Integer complexity
Complexity_(disambiguation)
Measure of algorithmic complexity
a complexity formula K(s) ≥ L. The strings s, and the integer L in turn, are computable by procedure: def string_nth_proof(n: int) def complexity
Kolmogorov_complexity
Algorithm to multiply two numbers
n} -bit integers. This is known as the computational complexity of multiplication. Usual algorithms done by hand have asymptotic complexity of O ( n
Multiplication_algorithm
polyhedron with facet complexity at most f, and v is a rational vector with distance from P of at most 2-6nf, and q and w are integer vectors satisfying
N-dimensional_polyhedron
Estimate of number of possible chess games
efficiently computable bijection between integers and chess positions. Allis also estimated the game-tree complexity to be at least 10123, "based on an average
Shannon_number
Method to solve optimization problems
H. Freeman. ISBN 978-0-7167-1045-5. A6: MP1: INTEGER PROGRAMMING, pg.245. (computer science, complexity theory) Gärtner, Bernd; Matoušek, Jiří (2006)
Linear_programming
Online database of integer sequences
The On-Line Encyclopedia of Integer Sequences (OEIS) is an online database of integer sequences. It was created and maintained by Neil Sloane while researching
On-Line Encyclopedia of Integer Sequences
On-Line_Encyclopedia_of_Integer_Sequences
Typographic symbol
truncation of A {\textstyle A} ") Integer complexity: ‖ n ‖ {\displaystyle \|n\|} ; reads "the complexity of the integer n". In LaTeX mathematical mode,
Vertical_bar
Unsolved problem in computer science
axioms for integer arithmetic, then nearly polynomial-time algorithms exist for all NP problems. Therefore, assuming (as most complexity theorists do)
P_versus_NP_problem
Algorithmic runtime requirements for matrix multiplication
complexity bounds on algorithms for computing the canonical structure of finite abelian groups and the Hermite and Smith normal forms of an integer matrix"
Computational complexity of matrix multiplication
Computational_complexity_of_matrix_multiplication
Approach to the study of finite semigroups and automata
semigroups have complexity 0, while non-trivial finite groups have complexity 1. In fact, there are semigroups of every non-negative integer complexity. For example
Krohn–Rhodes_theory
Model of computation
problem. If the input is an integer circuit, however, it is unknown whether this problem is decidable. Circuit complexity attempts to classify Boolean
Circuit_(computer_science)
Algorithm that arranges lists in order
better than O(n log n) time complexity assuming certain constraints, including: Thorup's algorithm, a randomized integer sorting algorithm, taking O(n
Sorting_algorithm
Branch of computational complexity theory
parameterized complexity was fixed-parameter tractability. Many problems have the following form: given an object x and a nonnegative integer k, does x have
Parameterized_complexity
Largest integer that divides given integers
of two or more integers, which are not all zero, is the largest positive integer that divides each of the integers. For two integers x, y, the greatest
Greatest_common_divisor
Open problem on 3x+1 and x/2 functions
"Mortality of iterated piecewise affine functions over the integers: Decidability and complexity". Computability. 1 (1): 19–56. doi:10.3233/COM-150032. Michel
Collatz_conjecture
Measure of complexity of real-valued functions
learning theory (machine learning and theory of computation), Rademacher complexity, named after Hans Rademacher, measures richness of a class of sets with
Rademacher_complexity
Venezuelan computer scientist
recognition of his contributions to the foundations of computational complexity theory and its application to cryptography and program checking". Blum
Manuel_Blum
Calculations where numbers' precision is only limited by computer memory
for bignums, and others have libraries available for arbitrary-precision integer and floating-point math. Rather than storing values as a fixed number of
Arbitrary-precision arithmetic
Arbitrary-precision_arithmetic
2002 documentary film by Jeffrey Blitz
a PhD in Mathematics from the University of Michigan, focusing on integer complexity. As of 2025, Altman is involved in the New York rationalist community
Spellbound_(2002_film)
Greatest integer less than or equal to square root
number theory, the integer square root (isqrt) of a non-negative integer n is the non-negative integer m which is the greatest integer less than or equal
Integer_square_root
Graver bases enable iterative solutions of linear and various nonlinear integer programming problems in polynomial time. They were introduced by Jack E
Graver_basis
Model of computational complexity
In theoretical computer science, circuit complexity is a branch of computational complexity theory in which Boolean functions are classified according
Circuit_complexity
Problem a computer might be able to solve
a positive integer n, find a nontrivial prime factor of n." is a computational problem that has a solution, as there are many known integer factorization
Computational_problem
Self-referential paradox
self-referential paradox arising from an expression like "The smallest positive integer not definable in under sixty letters" (a phrase with fifty-seven letters)
Berry_paradox
Computation modulo a fixed integer
mathematics, modular arithmetic is a system of arithmetic operations for integers, differing from the usual ones in that numbers "wrap around" when reaching
Modular_arithmetic
Algorithm that employs a degree of randomness as part of its logic or procedure
Carlo algorithms are considered, and several complexity classes are studied. The most basic randomized complexity class is RP, which is the class of decision
Randomized_algorithm
Randomized polynomial time class of computational complexity theory
In computational complexity theory, randomized polynomial time (RP) is the complexity class of decision problems for which a probabilistic Turing machine
RP_(complexity)
Class in computational complexity theory
}{=}}{\mathsf {P}}} More unsolved problems in computer science In computational complexity theory, the class NC (for "Nick's Class") is the set of decision problems
NC_(complexity)
Complexity class
reduction from the problem of integer factorization to problems complete for PPA. Christos Papadimitriou (1994). "On the complexity of the parity argument and
PPA_(complexity)
Decidable first-order theory of the natural numbers with addition
structure of non-negative integers with constants 0 {\displaystyle 0} , 1 {\displaystyle 1} , and the addition of non-negative integers. Presburger arithmetic
Presburger_arithmetic
computational complexity theory, an integer circuit is a circuit model of computation in which inputs to the circuit are sets of integers and each gate
Integer_circuit
Quantum algorithm for integer factorization
can factor integers in polynomial time. However, Shor's algorithm shows that factoring integers can be done with a polynomial complexity circuit on an
Shor's_algorithm
Notion in combinatorial game theory
Combinatorial game theory measures game complexity in several ways: State-space complexity (the number of legal game positions from the initial position)
Game_complexity
This is a list of computability and complexity topics, by Wikipedia page. Computability theory is the part of the theory of computation that deals with
List of computability and complexity topics
List_of_computability_and_complexity_topics
Complexity class of bounded-depth circuits
representations of integers). Since it is a circuit class, like P/poly, AC0 also contains every unary language. From a descriptive complexity viewpoint, DLOGTIME-uniform
AC0
Attribute of machine learning models
The sample complexity of a machine learning algorithm represents the number of training-samples that it needs in order to successfully learn a target function
Sample_complexity
PR is the complexity class of all primitive recursive functions—or, equivalently, the set of all formal languages that can be decided in time bounded by
PR_(complexity)
Class of problems in computer science
In complexity theory, PP, or PPT is the class of decision problems solvable by a probabilistic Turing machine in polynomial time, with an error probability
PP_(complexity)
Problem of inverting exponentiation in groups
be defined for all integers k {\displaystyle k} , and the discrete logarithm log b ( a ) {\displaystyle \log _{b}(a)} is an integer k {\displaystyle k}
Discrete_logarithm
Exponent of a power of two
The number of digits (bits) in the binary representation of a positive integer n is the integral part of 1 + log2 n, i.e. ⌊ log 2 n ⌋ + 1. {\displaystyle
Binary_logarithm
Algorithm for determinants of integers
Bareiss algorithm is not commonly used for integer matrices, because multi-modular arithmetic allows a complexity similar to that of the Bareiss algorithm
Bareiss_algorithm
Discrete Fourier transform algorithm
of sparse (mostly zero) factors. As a result, it manages to reduce the complexity of computing the DFT from O ( n 2 ) {\textstyle O(n^{2})} , which arises
Fast_Fourier_transform
On-Line Encyclopedia of Integer Sequences. OEIS Foundation. Sloane, N. J. A. (ed.). "Sequence A003037 (Smallest number of complexity n: smallest number requiring
1000_(number)
In computational complexity theory, the complement of a decision problem is the decision problem resulting from reversing the yes and no answers. Equivalently
Complement_(complexity)
Number without repeated prime factors
In mathematics, a square-free integer (or squarefree integer) is an integer that is divisible by no square number other than 1. That is, its prime factorization
Square-free_integer
Mathematical theorem
the integration formulas for integrand's with and without consecutive integer exponents and for single and double integrals. The integration formula
Ramanujan's_master_theorem
Type of computer science algorithm
that space complexity also has varied choices in whether or not to count the index lengths as part of the space used. Often, the space complexity is given
In-place_algorithm
Arithmetical operation
Joris van der Hoeven submitted a paper presenting an integer multiplication algorithm with a complexity of O ( n log n ) . {\displaystyle O(n\log n).} The
Multiplication
Combinational digital circuit
combinational digital circuit that performs arithmetic and bitwise operations on integer binary numbers. This is in contrast to a floating-point unit (FPU), which
Arithmetic_logic_unit
Function that counts distinct factors of a string
of a positive integer n to be the number of different words of length n in L The complexity function of a word is thus the complexity function of the
Complexity_function
In complexity theory, UP (unambiguous non-deterministic polynomial-time) is the complexity class of decision problems solvable in polynomial time on an
UP_(complexity)
Complexity class
computational complexity theory, co-NP is a complexity class. A decision problem X is a member of co-NP if and only if its complement X is in the complexity class
Co-NP
Product of the prime factors of an integer
Encyclopedia of Integer Sequences. OEIS Foundation. Adleman, Leonard M.; McCurley, Kevin S. (1994). "Open Problems in Number Theoretic Complexity, II". Algorithmic
Radical_of_an_integer
Date and time representation system widely used in computing
referred to as the Unix epoch. Unix time is typically encoded as a signed integer. The Unix time 0 is exactly midnight UTC on 1 January 1970, with Unix time
Unix_time
Central computer component that executes instructions
encoded integer) that the CPU can process in one operation, which is commonly called word size, bit width, data path width, integer precision, or integer size
Central_processing_unit
Computational complexity of quantum algorithms
Quantum complexity theory is the subfield of computational complexity theory that deals with complexity classes defined using quantum computers, a computational
Quantum_complexity_theory
Product of numbers from 1 to n
factorial of a non-negative integer n {\displaystyle n} , denoted by n ! {\displaystyle n!} , is the product of all positive integers less than or equal to
Factorial
problem and the magnitudes of the data involved (provided these are given as integers), rather than the base-two logarithms of their magnitudes. Such algorithms
Weak_NP-completeness
Divide and conquer sorting algorithm
"Algorithms and Complexity". Proceedings of the 3rd Italian Conference on Algorithms and Complexity. Italian Conference on Algorithms and Complexity. Lecture
Merge_sort
Algorithm for generating prime numbers
is a modern algorithm for finding all prime numbers up to a specified integer. Compared with the ancient sieve of Eratosthenes, which marks off multiples
Sieve_of_Atkin
Study of resources used by an algorithm
the analysis of algorithms is the process of finding the computational complexity of algorithms—the amount of time, storage, or other resources needed to
Analysis_of_algorithms
Complexity class used in circuit complexity
numbers, integer division or recognizing the Dyck language with multiple types of parentheses. It is commonly used to model the computational complexity of
TC0
Subfield of mathematical optimization
is related to operations research, algorithm theory, and computational complexity theory. It has important applications in several fields, including artificial
Combinatorial_optimization
Algorithm to compute the maximum flow in a network
found in O ( E ) {\displaystyle O(E)} time and increases the flow by an integer amount of at least 1 {\displaystyle 1} , with the upper bound f {\displaystyle
Ford–Fulkerson_algorithm
Scheduling algorithm for the network scheduler
to 0. Variables and Constants const integer N // Nb of queues const integer Q[1..N] // Per queue quantum integer DC[1..N] // Per queue deficit counter
Deficit_round_robin
Associative array for storing key–value pairs
probing sequence. In a well-dimensioned hash table, the average time complexity for each lookup is independent of the number of elements stored in the
Hash_table
Algorithm checking for prime numbers
test is based upon the following theorem: Given an integer n ≥ 2 {\displaystyle n\geq 2} and integer a {\displaystyle a} coprime to n {\displaystyle n}
AKS_primality_test
Interactive proof system in computational complexity theory
In computational complexity theory, an Arthur–Merlin protocol, introduced by Babai (1985), is an interactive proof system in which the verifier's coin
Arthur–Merlin_protocol
Search tree data structure
trie, which uses individual bits from fixed-length binary data (such as integers or memory addresses) as keys. The idea of a trie for representing a set
Trie
Ancient algorithm for generating prime numbers
numbers less than or equal to a given integer n by Eratosthenes's method: Create a list of consecutive integers from 2 through n: (2, 3, 4, ..., n). Initially
Sieve_of_Eratosthenes
Complexity class
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
NP-hardness
Algorithm for generating prime numbers
up to a specified integer. It was discovered by Indian student S. P. Sundaram in 1934. The sieve starts with a list of the integers from 1 to n. From
Sieve_of_Sundaram
Computational task of sorting whole numbers
science, integer sorting is the algorithmic problem of sorting a collection of data values by integer keys. Algorithms designed for integer sorting may
Integer_sorting
Number whose square is a given number
roots of positive integers that are not perfect squares are always irrational numbers: numbers not expressible as a ratio of two integers (that is, they
Square_root
Complexity class
In computability theory and computational complexity theory, RE (recursively enumerable) is the class of decision problems for which a 'yes' answer can
RE_(complexity)
Complexity class
In computational complexity theory, Polynomial Local Search (PLS) is a complexity class that models the difficulty of finding a locally optimal solution
PLS_(complexity)
Function used in computer cryptography
"easy" and "hard" are to be understood in the sense of computational complexity theory, specifically the theory of polynomial time problems. This has
One-way_function
About simultaneous modular congruences
division of an integer n by several integers, then one can determine uniquely the remainder of the division of n by the product of these integers, under the
Chinese_remainder_theorem
Decision problem in computer science
multiple subset sum problem. The time complexity of SSP depends on two parameters: n - the number of input integers. If n is a small fixed number, then
Subset_sum_problem
of complexity classes in computational complexity theory. For other computational and complexity subjects, see list of computability and complexity topics
List_of_complexity_classes
Used to count, measure, and label
Hindu–Arabic numeral system, a decimal system which can display any non-negative integer using a combination of ten Arabic numeral symbols called digits. Numerals
Number
Complexity class
In computational complexity theory, the complexity class PPP (polynomial pigeonhole principle) is a subclass of TFNP. It is the class of search problems
PPP_(complexity)
Open problem in computer science
Adamczewski, Boris; Bugeaud, Yann (2007). "On the complexity of algebraic numbers I. Expansions in integer bases". Annals of Mathematics. 165 (2): 547–565
Hartmanis–Stearns_conjecture
Theoretical model of computation
In computational complexity theory, and more specifically in the analysis of algorithms with integer data, the transdichotomous model is a variation of
Transdichotomous_model
On the smallest non-interesting number
entry. Otherwise, every positive integer would be interesting, because OEIS: A000027 is the sequence of all positive integers. Depending on the sources used
Interesting_number_paradox
Concept in complexity theory
function of the two variables: the numeric value of the input (the largest integer present in the input) and the length of the input (the number of bits required
Pseudo-polynomial_time
Measure of complexity of a Boolean circuit
is used in parametrized complexity to define the W hierarchy which is a hierarchy of problems weighted by a positive integer parameter k {\displaystyle
Weft_(circuit)
Algorithm for public-key cryptography
it is practical to find three very large positive integers e, d, and n, such that for all integers x (0 ≤ x < n), both (xe)d and x have the same remainder
RSA_cryptosystem
Type of mathematical expression
addition, subtraction, multiplication and exponentiation to nonnegative integer powers, and has a finite number of terms. An example of a polynomial of
Polynomial
Hypothesis in computational complexity theory
In computational complexity theory, a computational hardness assumption is the hypothesis that a particular problem cannot be solved efficiently (where
Computational hardness assumption
Computational_hardness_assumption
INTEGER COMPLEXITY
INTEGER COMPLEXITY
Girl/Female
American, Australian, Danish, Finnish, German, Scandinavian, Swedish, Teutonic
Guarded by Ing; Ing is Beautiful; Daughter of Hero; Enclosure
Female
Scandinavian
Scandinavian form of Old Norse Ingigerðr, INGEGERD means "Ing's enclosure."
Boy/Male
Arabic, Muslim
To Wait
Female
Swedish
Swedish contracted form of Scandinavian Ingegerd, INGER means "Ing's enclosure."
Boy/Male
Muslim
To wait
Girl/Female
Danish, Finnish, German, Swedish
Guarded by Ing; Ing's Beauty; Ing's Place
Girl/Female
Scandinavian Teutonic Danish Swedish
Ing's abundance. Feminine of Ing who was Norse mythological god of the earth's fertility.
Boy/Male
Norse
Son's army.
Boy/Male
German, Norse, Swedish
Guarded by Ing; Ing's Beauty
INTEGER COMPLEXITY
INTEGER COMPLEXITY
Boy/Male
German, Spanish
Lion-bold; Lion
Male
Native American
Native American Cheyenne name HOHNIHOHKAIYOHOS means "high-backed wolf."
Girl/Female
Australian, British, Celtic, Christian, English, Welsh
Fair One; White and Smooth; Soft
Boy/Male
Anglo, British, English
White Haired
Boy/Male
Tamil
Focused
Surname or Lastname
English and French (Châtelain)
English and French (Châtelain) : status name for the governor or constable of a castle, or the warder of a prison, from Norman Old French chastelain (Latin castellanus, a derivative of castellum ‘castle’).A priest named Châtelain from Paris is documented in Quebec city in 1636, and a family is documented in Trois Rivières, Quebec, in 1722.
Surname or Lastname
English
English : variant spelling of Cubberley.
Boy/Male
Celebrity, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Sikh, Sindhi, Tamil, Telugu
Gift of the Guru
Boy/Male
American, Anglo, British, English
Oaken; Made of Oak
Boy/Male
Hindu, Indian, Kannada, Telugu
A Place Near of Agra
INTEGER COMPLEXITY
INTEGER COMPLEXITY
INTEGER COMPLEXITY
INTEGER COMPLEXITY
INTEGER COMPLEXITY
v. t.
To deposit, as a dead body, in the earth; to bury; to inter.
n.
That number placed below the line in vulgar fractions which shows into how many parts the integer or unit is divided.
p. pr. & vb. n.
of Inter
v. t.
To bury; to inter; to entomb; as, obscurely sepulchered.
imp. & p. p.
of Inter
v. t.
To place in a tomb; to bury; to inter; to entomb.
n.
One who makes an entrance or beginning.
v. t.
To inter with funeral rites; to bury.
v. t.
To inhume; to bury; to inter.
a.
Essential to completeness; constituent, as a part; pertaining to, or serving to form, an integer; integrant.
v. t.
To inter.
n.
One who inters.
n.
One who intends.
n.
One who gathers the vintage.
n.
A complete entity; a whole number, in contradistinction to a fraction or a mixed number.
n.
One who makes an index.
v. t.
To deposit or inter in a chapel; to enshrine.
v. t.
To deposit and cover in the earth; to bury; to inhume; as, to inter a dead body.
v. t.
To inter again.