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PARTIAL FUNCTION

  • Partial function
  • 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

    Partial_function

  • Partial application
  • 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

    Partial_application

  • Partial derivative
  • 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

    Partial_derivative

  • General recursive function
  • 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

    General_recursive_function

  • Partial autocorrelation function
  • 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

    Partial_autocorrelation_function

  • Function (mathematics)
  • 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)

    Function_(mathematics)

  • Partial differential equation
  • 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

    Partial differential equation

    Partial_differential_equation

  • Bijection
  • 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

    Bijection

    Bijection

  • Computable function
  • 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

    Computable_function

  • Currying
  • 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

    Currying

  • Implicit function theorem
  • 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

    Implicit_function_theorem

  • Harmonic function
  • 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

    Harmonic function

    Harmonic_function

  • Holomorphic 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

    Holomorphic function

    Holomorphic_function

  • First-class 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

    First-class_function

  • Inverse 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

    Inverse function

    Inverse_function

  • Dirac delta 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

    Dirac delta function

    Dirac_delta_function

  • Homogeneous 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

    Homogeneous_function

  • Derivative
  • Instantaneous rate of change (mathematics)

    {\displaystyle {\frac {\partial f}{\partial x}}=2x+y,\qquad {\frac {\partial f}{\partial y}}=x+2y.} In general, the partial derivative of a function f ( x 1 , …

    Derivative

    Derivative

    Derivative

  • Partial
  • 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

    Partial

  • Domain of a 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

    Domain of a function

    Domain_of_a_function

  • Likelihood 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

    Likelihood_function

  • Continuous function
  • 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

    Continuous_function

  • Differential of a 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

    Differential_of_a_function

  • Scala (programming language)
  • 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)

    Scala (programming language)

    Scala_(programming_language)

  • Hessian matrix
  • 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

    Hessian_matrix

  • Real-valued function
  • 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

    Real-valued function

    Real-valued_function

  • Total
  • 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

    Total

  • Laplace's equation
  • 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

    Laplace's equation

    Laplace's_equation

  • Denotational semantics
  • 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

    Denotational_semantics

  • Recursive function
  • 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

    Recursive_function

  • Rational mapping
  • 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

    Rational_mapping

  • Closed linear operator
  • 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

    Closed_linear_operator

  • Monotonic function
  • 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

    Monotonic function

    Monotonic_function

  • Cauchy–Riemann equations
  • 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

    Cauchy–Riemann equations

    Cauchy–Riemann_equations

  • Laplace operator
  • 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

    Laplace_operator

  • Partial permutation
  • 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

    Partial_permutation

  • Green's function
  • 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

    Green's function

    Green's_function

  • Symmetry of second derivatives
  • 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

  • Partition function (statistical mechanics)
  • 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)

    Partition_function_(statistical_mechanics)

  • Rice's theorem
  • 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

    Rice's_theorem

  • Transformation (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)

    Transformation (function)

    Transformation_(function)

  • Softmax function
  • Smooth approximation of one-hot arg max

    The softmax function, also known as softargmax or normalized exponential function, converts a tuple of K real numbers into a probability distribution

    Softmax function

    Softmax_function

  • Partial trace
  • 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

    Partial trace

    Partial_trace

  • Probability density function
  • 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

    Probability density function

    Probability_density_function

  • Bump function
  • 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

    Bump function

    Bump_function

  • Decider (Turing machine)
  • 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)

    Decider_(Turing_machine)

  • Partially ordered set
  • Mathematical set with an ordering

    order theory, a partial order on a set is an arrangement such that, for certain pairs of elements, one precedes the other. The word partial is used to indicate

    Partially ordered set

    Partially ordered set

    Partially_ordered_set

  • Matrix calculus
  • 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

    Matrix_calculus

  • Function composition
  • 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

    Function_composition

  • Semicomputable function
  • 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

    Semicomputable_function

  • Cobb–Douglas production function
  • 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

    Cobb–Douglas_production_function

  • Partial template specialization
  • { return "Full"; } // illegal: partial function template specialization of the return type // function template partial specialization is not allowed //

    Partial template specialization

    Partial_template_specialization

  • Calculus of variations
  • 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

    Calculus_of_variations

  • Function of several real variables
  • 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

  • Domain
  • 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

    Domain

  • Automatic differentiation
  • 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

    Automatic_differentiation

  • Smoothness
  • Degree of differentiability of a function or map

    several consequences for partial derivatives. If a function is of class C k {\displaystyle C^{k}} , then its mixed partial derivatives of order at most

    Smoothness

    Smoothness

    Smoothness

  • Rice–Shapiro theorem
  • 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

    Rice–Shapiro_theorem

  • Jacobian matrix and determinant
  • 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

  • Inverse function theorem
  • 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

    Inverse function theorem

    Inverse_function_theorem

  • Navier–Stokes equations
  • Equations of motion for viscous fluids

    nav-YAY STOHKS) describe the motion of viscous fluids. This system of partial differential equations was named after Claude-Louis Navier and George Gabriel

    Navier–Stokes equations

    Navier–Stokes_equations

  • Hamilton–Jacobi equation
  • 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

    Hamilton–Jacobi_equation

  • Daniel Monks
  • 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

    Daniel_Monks

  • Differential equation
  • 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

    Differential_equation

  • Groupoid
  • 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

    Groupoid

  • Differentiable function
  • 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

    Differentiable function

    Differentiable_function

  • Gradient
  • Multivariate derivative (mathematics)

    the function f {\displaystyle f} only if f {\displaystyle f} is differentiable at p {\displaystyle p} . There can be functions for which partial derivatives

    Gradient

    Gradient

    Gradient

  • Signed distance function
  • 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

    Signed distance function

    Signed_distance_function

  • Vector-valued function
  • 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

    Vector-valued_function

  • Beta 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

    Beta function

    Beta_function

  • Chain rule
  • 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

    Chain_rule

  • Taylor series
  • 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

    Taylor series

    Taylor_series

  • Maximum principle
  • 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

    Maximum principle

    Maximum_principle

  • Derivative (multivariable calculus)
  • 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)

  • Notation for differentiation
  • Notation of differential calculus

    notation is especially useful for taking partial derivatives of a function of several variables. ⁠∂f/∂x⁠ Partial derivatives are generally distinguished

    Notation for differentiation

    Notation_for_differentiation

  • Elementary function
  • Type of mathematical function

    elementary function is a function of a single variable (real or complex) that is typically encountered by beginners. The basic elementary functions are polynomial

    Elementary function

    Elementary_function

  • Voigt profile
  • 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

    Voigt profile

    Voigt_profile

  • Complete partial order
  • 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

    Complete_partial_order

  • Product rule
  • Formula for the derivative of a product

    x_{2}\,\partial x_{3}}+{\partial u \over \partial x_{1}}\cdot {\partial ^{2}v \over \partial x_{2}\,\partial x_{3}}+{\partial u \over \partial x_{2}}\cdot

    Product rule

    Product rule

    Product_rule

  • Directional derivative
  • Instantaneous rate of change of the function

    then the normal derivative of a function f is sometimes denoted as ∂ f ∂ n {\textstyle {\frac {\partial f}{\partial \mathbf {n} }}} . In other notations

    Directional derivative

    Directional_derivative

  • Spherical harmonics
  • 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

    Spherical harmonics

    Spherical_harmonics

  • Algorithm characterizations
  • 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

    Algorithm_characterizations

  • Admissible numbering
  • Concept in computability theory

    (numberings) of the set of partial computable functions that can be converted to and from the standard numbering of partial computable functions. These numberings

    Admissible numbering

    Admissible_numbering

  • Leibniz integral rule
  • 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

    Leibniz_integral_rule

  • Harmonic conjugate
  • Concept in mathematics

     61. ISBN 0-07-912147-0. If two given functions u and v are harmonic in a domain D and their first-order partial derivatives satisfy the Cauchy-Riemann

    Harmonic conjugate

    Harmonic_conjugate

  • Total functional programming
  • 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

    Total_functional_programming

  • Partial fraction decomposition
  • Rational fractions as sums of simple terms

    importance of the partial fraction decomposition lies in the fact that it provides algorithms for various computations with rational functions, including the

    Partial fraction decomposition

    Partial_fraction_decomposition

  • Creative and productive sets
  • 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

    Creative_and_productive_sets

  • Heat equation
  • 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

    Heat equation

    Heat_equation

  • Forcing (mathematics)
  • Technique for proving independence results

    measure. In the example on finite partial functions, incompatibility means that p ∪ q {\displaystyle p\cup q} is not a function, in other words, p {\displaystyle

    Forcing (mathematics)

    Forcing_(mathematics)

  • Wave equation
  • 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

    Wave equation

    Wave_equation

  • Partial equivalence relation
  • Mathematical concept for comparing objects

    if X {\displaystyle X} is not empty. If f {\displaystyle f} is a partial function on a set A {\displaystyle A} , then the relation ≈ {\displaystyle \approx

    Partial equivalence relation

    Partial_equivalence_relation

  • Helmholtz equation
  • Eigenvalue problem for the Laplace operator

    {1}{c^{2}}}{\frac {\partial ^{2}}{\partial t^{2}}}\right)u(\mathbf {r} ,t)=0.} Separation of variables begins by assuming that the wave function u(r, t) is in

    Helmholtz equation

    Helmholtz_equation

  • Hamiltonian mechanics
  • 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

    Hamiltonian mechanics

    Hamiltonian_mechanics

  • Kleene equality
  • Equality operator on partial functions

    \simeq } ) is an equality operator on partial functions, that states that on a given argument either both functions are undefined, or both are defined and

    Kleene equality

    Kleene_equality

  • Complex analysis
  • 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

    Complex analysis

    Complex_analysis

  • Contour integration
  • Method of evaluating certain integrals along paths in the complex plane

    \\&=\left({\frac {\partial }{\partial u}},{\frac {\partial }{\partial x}},{\frac {\partial }{\partial y}},{\frac {\partial }{\partial z}},\dots \right)\cdot

    Contour integration

    Contour_integration

  • Partial word
  • Computer science string term

    symbol value is not known or not specified. More formally, a partial word is a partial function u : { 0 , … , n − 1 } → A {\displaystyle u:\{0,\ldots ,n-1\}\rightarrow

    Partial word

    Partial_word

  • Taylor's theorem
  • Approximation of a function by a polynomial

    theorem that if the partial derivatives of a function f exist in a neighborhood of a and are continuous at a, then the function is differentiable at

    Taylor's theorem

    Taylor's theorem

    Taylor's_theorem

  • Series (mathematics)
  • Infinite sum

    sequence of different asymptotic orders and whose partial sums are approximations of some other function in an asymptotic limit. In general they do not converge

    Series (mathematics)

    Series_(mathematics)

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