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Function whose actual domain of definition may be smaller than its apparent domain
In mathematics, a partial function f from a set X to a set Y is a function from a subset S of X (possibly the whole X itself) to Y. The subset S, that
Partial_function
In functional programming
partial application (or partial function application) refers to the process of fixing a number of arguments of a function, producing another function
Partial_application
One of several equivalent definitions of a computable function
computer science, a general recursive function, partial recursive function, or μ-recursive function is a partial function from natural numbers to natural numbers
General_recursive_function
Association of one output to each input
non-empty open interval. Such a function is then called a partial function. A function f on a set S means a function from the domain S, without specifying
Function_(mathematics)
Partial correlation of a time series with its lagged values
In time series analysis, the partial autocorrelation function (PACF) gives the partial correlation of a stationary time series with its own lagged values
Partial autocorrelation function
Partial_autocorrelation_function
Derivative of a function with multiple variables
In mathematics, a partial derivative of a function of several variables is its derivative with respect to one of those variables, with the others held
Partial_derivative
Type of differential equation
partial differential equation (PDE) is an equation which involves a multivariable function and one or more of its partial derivatives. The function is
Partial_differential_equation
Mathematical function that can be computed by a program
For example, one can formalize computable functions as μ-recursive functions, which are partial functions that take finite tuples of natural numbers
Computable_function
One-to-one correspondence
one-to-one correspondence generalizes to partial functions, where they are called partial bijections, although partial bijections are only required to be injective
Bijection
Transforming a function in such a way that it only takes a single argument
as, partial application. The example above can be used to illustrate partial application; it is quite similar. Partial application is the function apply
Currying
Functions in mathematics
zero function; however note that the partial derivatives are not uniformly convergent to the zero function (the derivative of the zero function). This
Harmonic_function
Function with a multiplicative scaling behaviour
nonzero s ∈ F . {\displaystyle s\in F.} A homogeneous function f from V to W is a partial function from V to W that has a linear cone C as its domain, and
Homogeneous_function
Complex-differentiable (mathematical) function
derivative of the function can be written as f ′ ( z ) = ∂ u ∂ x + i ∂ v ∂ x = ∂ v ∂ y − i ∂ u ∂ y {\displaystyle f'(z)={\frac {\partial u}{\partial x}}+i{\frac
Holomorphic_function
Programming language feature
first-class functions if it treats functions as first-class citizens. This means the language supports passing functions as arguments to other functions, returning
First-class_function
Mathematical concept
expressions like sin−1(x) to denote the inverse of the sine function applied to x (actually a partial inverse; see below). Other authors feel that this may
Inverse_function
Set of all things that may be the input of a mathematical function
In many contexts, a partial function is called simply a function, and its natural domain is called simply its domain. The function f {\displaystyle f}
Domain_of_a_function
Function related to statistics and probability theory
L\equiv \left[{\frac {\partial L}{\partial \theta _{i}}}\right]_{i=1}^{n_{\mathrm {i} }}} vanishes, and if the likelihood function approaches a constant
Likelihood_function
Notion in calculus
§15), for functions of more than one independent variable, y = f ( x 1 , … , x n ) , {\displaystyle y=f(x_{1},\dots ,x_{n}),} the partial differential
Differential_of_a_function
Generalized function whose value is zero everywhere except at zero
series associated with a periodic function converges to the function. The n-th partial sum of the Fourier series of a function f of period 2π is defined by
Dirac_delta_function
On converting relations to functions of several real variables
≠ 0 , {\textstyle {\frac {\partial f}{\partial y}}(x_{0},y_{0})\neq 0,} then there exists a unique differentiable function φ {\displaystyle \varphi
Implicit_function_theorem
Mathematical function with no sudden changes
function f ( x ) = 1 x {\textstyle f(x)={\frac {1}{x}}} and the tangent function f ( x ) = tan x {\displaystyle f(x)=\tan x} . When these partial functions
Continuous_function
Topics referred to by the same term
of a function, with the other variables held constant ∂, a symbol that can denote a partial derivative, sometimes pronounced "partial dee" Partial differential
Partial
Instantaneous rate of change (mathematics)
be calculated in terms of the partial derivatives with respect to the independent variables. For a real-valued function of several variables, the Jacobian
Derivative
Topics referred to by the same term
binary relation in which any two elements are comparable). Total function, a partial function that is also a total relation TotalEnergies, a French petroleum
Total
Linear operator whose graph is closed
analysis to consider partial functions, which are functions defined on a subset of some space X . {\displaystyle X.} A partial function f {\displaystyle f}
Closed_linear_operator
General-purpose programming language
type is a function from lists of integers to lists of integers, and bind it to a partial function. (The single parameter of the partial function is never
Scala_(programming_language)
Study of programming languages via mathematical objects
For example, programs (or program phrases) might be represented by partial functions or by games between the environment and the system. An important tenet
Denotational_semantics
Theorem in computability theory
φ {\displaystyle \varphi } be an admissible numbering of the partial computable functions, and let P {\displaystyle P} be a subset of N {\displaystyle
Rice's_theorem
Mathematical function that outputs real values
operations extend to partial functions from X to R , {\displaystyle \mathbb {R} ,} with the restriction that the partial functions f + g and f g are defined
Real-valued_function
Function in thermodynamics and statistical physics
partition function describes the statistical properties of a system in thermodynamic equilibrium.[citation needed] Partition functions are functions of the
Partition function (statistical mechanics)
Partition_function_(statistical_mechanics)
Method of solution to differential equations
functions are named after the British mathematician George Green, who first developed the concept in the 1820s. In the modern study of linear partial
Green's_function
Operation on mathematical functions
two functions, f {\displaystyle f} and g {\displaystyle g} , and returns a new function f ∘ g {\displaystyle f\circ g} . When the composite function f ∘
Function_composition
Matrix of second derivatives
matrix of second-order partial derivatives of a scalar-valued function, or scalar field. It describes the local curvature of a function of many variables.
Hessian_matrix
{ return "Full"; } // illegal: partial function template specialization of the return type // function template partial specialization is not allowed //
Partial template specialization
Partial_template_specialization
Description of continuous random distribution
{\frac {\partial ^{n}F}{\partial x_{1}\cdots \partial x_{n}}}\right|_{x}} For i = 1, 2, ..., n, let fXi(xi) be the probability density function associated
Probability_density_function
Topics referred to by the same term
a function, the set of input values for which the (total) function is defined Domain of definition of a partial function Natural domain of a partial function
Domain
Mathematical theorem
called the equality of mixed partials) is the fact that exchanging the order of partial derivatives of a multivariate function f ( x 1 , x 2 , … , x n )
Symmetry of second derivatives
Symmetry_of_second_derivatives
Order-preserving mathematical function
In mathematics, a monotonic function (or monotone function) is a function between ordered sets that preserves or reverses the given order. This concept
Monotonic_function
Function that applies a set to itself
notion of transformation is generalized to partial functions, then a partial transformation is a function f: A → B, where both A and B are subsets of
Transformation_(function)
Mathematical set with an ordering
represented by a function compare:P×P→{<,>,=,|} that returns one of four codes when given two elements. This definition is equivalent to a partial order on a
Partially_ordered_set
Turing machine that halts for any input
Turing computable partial functions that have no extension to a total Turing computable function. In particular, the partial function f defined so that
Decider_(Turing_machine)
Function over linear operators
analysis, the partial trace is a generalization of the trace. Whereas the trace is a scalar-valued function on operators, the partial trace is an operator-valued
Partial_trace
Type of functional equation (mathematics)
y)\\[4pt]x_{1}{\frac {\partial y}{\partial x_{1}}}&+x_{2}{\frac {\partial y}{\partial x_{2}}}=y\end{aligned}}} In all these cases, y is an unknown function of x (or
Differential_equation
Specialized notation for multivariable calculus
collects the various partial derivatives of a single function with respect to many variables, and/or of a multivariate function with respect to a single
Matrix_calculus
Topics referred to by the same term
function may refer to: Recursive function (programming), a function which references itself General recursive function, a computable partial function
Recursive_function
Second-order partial differential equation
_{\partial D}g\,dS=0.} A third classical boundary condition is the Robin boundary condition, which prescribes a linear combination of the function and
Laplace's_equation
Theorem in mathematics
mathematical analysis, the inverse function theorem gives sufficient conditions for a function to have an inverse function. The essential idea is that if
Inverse_function_theorem
Mathematical function whose derivative exists
For a multivariable function, as shown here, the differentiability of it is something more complex than the existence of the partial derivatives of it.
Differentiable_function
Differential operator in mathematics
coordinate system, the Laplacian is given by the sum of second partial derivatives of the function with respect to each independent variable. In other coordinate
Laplace_operator
Numerical calculations carrying along derivatives
differentiation arithmetic is a set of techniques to evaluate the partial derivative of a function specified by a computer program. Automatic differentiation
Automatic_differentiation
Category where every morphism is invertible; generalization of a group
several equivalent ways. A groupoid can be seen as a: Group with a partial function replacing the binary operation; Category in which every morphism is
Groupoid
Selection in a particular order
size, and a one-to-one mapping from U to V. Equivalently, it is a partial function on S that can be extended to a permutation. It is common to consider
Partial_permutation
Smooth and compactly supported function
analysis, a bump function is a localized auxiliary function, usually chosen to be smooth and to have compact support. Bump functions are commonly used
Bump_function
Mathematical concept for comparing objects
R is difunctional: the relation is the set {(a,b)∣fa=gb} for two partial functions f,g:X⇀Y and some indicator set Y R is right Euclidean: For a,b,c∈X
Partial_equivalence_relation
Australian actor and screenwriter
quadriplegia. It took six months for Monks to regain full function in his left side and partial function in his right leg, but his right arm remained paralysed
Daniel_Monks
Generalization of Rice's theorem
states that when a semi-decidable property of partial computable functions is true on a certain partial function, one can extract a finite subfunction such
Rice–Shapiro_theorem
Matrix of partial derivatives of a vector-valued function
(/dʒəˈkoʊbiən/, /dʒɪ-, jɪ-/) of a vector-valued function of several variables is the matrix of all its first-order partial derivatives. If this matrix is square
Jacobian matrix and determinant
Jacobian_matrix_and_determinant
Formulation of classical mechanics
{\frac {\partial S}{\partial \mathbf {q} }},t\right)}.} for a system of particles at coordinates q {\displaystyle \mathbf {q} } . The function H {\displaystyle
Hamilton–Jacobi_equation
Characteristic property of holomorphic functions
Cauchy–Riemann equations are two partial differential equations that characterize differentiability of complex functions. The equations are and where u(x
Cauchy–Riemann_equations
Mathematical approximation of a function
partial sum formed by the first n + 1 terms of a Taylor series is a polynomial of degree n that is called the nth Taylor polynomial of the function.
Taylor_series
Programming paradigm restricted to provably terminating programs
proven by abstract interpretation of code. Every function must be a total (as opposed to partial) function. That is, it must have a definition for everything
Total_functional_programming
Economic formula of productivity
production function with respect to labor: M P L = ∂ Y ∂ L = α A L α − 1 K β = α A L α K β L = α Y L {\displaystyle MPL={\frac {\partial Y}{\partial L}}=\alpha
Cobb–Douglas production function
Cobb–Douglas_production_function
Mathematical function
(m+1,n+1)={\frac {\partial ^{m+n}h}{\partial a^{m}\,\partial b^{n}}}(0,0).} The Pascal-like identity above implies that this function is a solution to the
Beta_function
Differentiation under the integral sign formula
( x , t ) {\displaystyle f(x,t)} be a function such that both f ( x , t ) {\displaystyle f(x,t)} and its partial derivative f t ( x , t ) {\displaystyle
Leibniz_integral_rule
Mathematical phrase
is a pointed dcpo, where the least element is the nowhere-defined partial function (with empty domain). In fact, ≤ is also bounded complete. This example
Complete_partial_order
Differential calculus on function spaces
that ∂ L ∂ x = 0 , {\displaystyle {\frac {\partial L}{\partial x}}=0,} meaning the integrand is a function of f ( x ) {\displaystyle f(x)} and f ′ ( x
Calculus_of_variations
Formulation of classical mechanics using momenta
{\frac {\partial {\mathcal {H}}}{\partial t}}=-{\partial {\mathcal {L}} \over \partial t}\ .} On-shell, one substitutes parametric functions q i = q i
Hamiltonian_mechanics
Degree of differentiability of a function or map
differentiability has several consequences for partial derivatives. If a function is of class Ck, then its mixed partial derivatives of order at most k are independent
Smoothness
Formula in calculus
{\partial u}{\partial r}}={\frac {\partial u}{\partial x}}{\frac {\partial x}{\partial r}}+{\frac {\partial u}{\partial y}}{\frac {\partial y}{\partial
Chain_rule
In computability theory, a semicomputable function is a partial function f : Q → R {\displaystyle f:\mathbb {Q} \rightarrow \mathbb {R} } that can be approximated
Semicomputable_function
Probability distribution
{\begin{aligned}{\frac {\partial V'}{\partial \mu _{V}}}=-{\frac {\partial V'}{\partial x}}=-{\frac {\partial ^{2}V}{\left(\partial x\right)^{2}}}={\frac
Voigt_profile
Type of derivative in mathematics
derivative of a vector-valued function or function of a vector argument. Sometimes called the total derivative, in contrast with partial derivatives, the derivative
Derivative (multivariable calculus)
Derivative_(multivariable_calculus)
Multivariate derivative (mathematics)
for gradient is defined for the function f only if f is differentiable at p. There can be functions for which partial derivatives exist in every direction
Gradient
Kind of partial function between algebraic varieties
algebraic geometry, a rational map or rational mapping is a kind of partial function between algebraic varieties. This article uses the convention that
Rational_mapping
Distance from a point to the boundary of a set
the name oriented distance function/field. Let Ω be a subset of a metric space X with metric d, and ∂ Ω {\displaystyle \partial \Omega } be its boundary
Signed_distance_function
Infinite series that is not convergent
of partial sums diverge, in order to make meaning of the divergence of the series. A summability method or summation method is a partial function from
Divergent_series
Vector space of functions in mathematics
Sobolev space is a space of functions possessing sufficiently many derivatives for some application domain, such as partial differential equations, and
Sobolev_space
Gradient of the likelihood function
vector of partial derivatives) of log L ( θ ; x ) {\displaystyle \log {\mathcal {L}}(\theta ;x)} , the natural logarithm of the likelihood function, with
Informant_function
Branch of mathematics studying functions of a complex variable
{1}{2}}\left({\frac {\partial }{\partial x}}+i{\frac {\partial }{\partial y}}\right).} In terms of the real and imaginary parts of the function, u and v, this is equivalent
Complex_analysis
Mathematical function with multiple real-number arguments
In mathematics, a function of several real variables or real multivariate function is a function with more than one argument, with all arguments being
Function of several real variables
Function_of_several_real_variables
Theorem in complex analysis
a function of two variables u(x,y) such that ∂ 2 u ∂ x 2 + ∂ 2 u ∂ y 2 = 0. {\displaystyle {\frac {\partial ^{2}u}{\partial x^{2}}}+{\frac {\partial ^{2}u}{\partial
Maximum_principle
Partial differential equation describing the evolution of temperature in a region
{\displaystyle u} be a function with ∂ u ∂ t = α ∇ 2 u . {\displaystyle {\frac {\partial u}{\partial t}}=\alpha \nabla ^{2}u.} Define a new function v ( t , x )
Heat_equation
Function for incompressible divergence-free flows in two dimensions
to the stream function ψ {\displaystyle \psi } must be u = ∂ ψ ∂ y , v = − ∂ ψ ∂ x . {\displaystyle u={\frac {\partial \psi }{\partial y}},\qquad v=-{\frac
Stream_function
function d ( x ) = [ [ x ] ] ( x ) + 1 {\displaystyle d(x)=[[x]](x)+1} that takes the diagonal of all enumerated 1-place computable partial functions
Creative_and_productive_sets
Function valued in a vector space; typically a real or complex one
{\displaystyle {\frac {d\mathbf {v} }{dt}}=\mathbf {a} (t).} The partial derivative of a vector function a with respect to a scalar variable q is defined as ∂ a
Vector-valued_function
Attempts to formalize the concept of algorithms
376) Definition of "partial recursive function": "A partial function φ is partial recursive in [the partial functions] ψ1, ... ψn if there is a system of
Algorithm_characterizations
Method to solve constrained optimization problems
considered as a function of x {\displaystyle x} and the Lagrange multiplier λ {\displaystyle \lambda ~} . This means that all partial derivatives should
Lagrange_multiplier
Decomposition of periodic functions
periodic function into a sum of trigonometric functions. The Fourier series is an example of a trigonometric series. By expressing a function as a sum
Fourier_series
Description of a quantum-mechanical system
The Schrödinger equation is a partial differential equation that governs the wave function of a non-relativistic quantum-mechanical system. Its discovery
Schrödinger_equation
Notation of differential calculus
example, the second partial derivatives of a function f(x,y) are: ∂xxf=∂2f∂x2,∂xyf=∂2f∂y∂x,∂yxf=∂2f∂x∂y,∂yyf=∂2f∂y2. See § Partial derivatives. D-notation
Notation_for_differentiation
Special mathematical functions defined on the surface of a sphere
spherical harmonics are special functions defined on the surface of a sphere. They are often employed in solving partial differential equations in many
Spherical_harmonics
Mathematical property of sets
all possible partial computable functions, which also allows non-terminating programs, such subsets of functions, such as the total functions, are seen to
Subcountability
Mathematical model used by graph-oriented databases
of the graph π : κ → V {\displaystyle \pi \colon \kappa \to V} is a partial function, providing values for the properties of the nodes and the arcs which
Property_graph
Academic subfield of computer science
all non-trivial properties of partial functions, it is undecidable whether a Turing machine computes a partial function with that property. Computability
Theory_of_computation
Mathematical function
In mathematics, a Gaussian function, often simply referred to as a Gaussian, is a function of the base form f ( x ) = exp ( − x 2 ) {\displaystyle f(x)=\exp(-x^{2})}
Gaussian_function
Function that preserves distinctness
In mathematics, an injective function (also known as injection, or one-to-one function) is a function f that maps distinct elements of its domain to distinct
Injective_function
Computation model defining an abstract machine
the initial tape contents; δ:(Q∖F)×Γ⇀Q×Γ×{L,R} is a partial function called the transition function, where L is left shift, R is right shift. If δ is not
Turing_machine
Vector operator in vector calculus
=\left({\frac {\partial }{\partial x}},{\frac {\partial }{\partial y}},{\frac {\partial }{\partial z}}\right)\cdot (F_{x},F_{y},F_{z})={\frac {\partial F_{x}}{\partial
Divergence
Differential equation for the description of waves or standing wave
{\frac {\partial ^{2}u}{\partial t^{2}}}=c^{2}\left({\frac {\partial ^{2}u}{\partial x^{2}}}+{\frac {\partial ^{2}u}{\partial y^{2}}}+{\frac {\partial ^{2}u}{\partial
Wave_equation
Mathematical operation
{\partial ^{2}f}{\partial x^{2}}}+{\frac {\partial ^{2}f}{\partial y^{2}}}+{\frac {\partial ^{2}f}{\partial z^{2}}}.} The Laplacian of a function is
Second_derivative
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PARTIAL FUNCTION
PARTIAL FUNCTION
PARTIAL FUNCTION
PARTIAL FUNCTION
PARTIAL FUNCTION
PARTIAL FUNCTION
PARTIAL FUNCTION
PARTIAL FUNCTION
PARTIAL FUNCTION
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