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CHAIN RULE

  • Chain rule
  • Formula in calculus

    In calculus, the chain rule is a formula that expresses the derivative of the composition of two differentiable functions z and y in terms of the derivatives

    Chain rule

    Chain_rule

  • Integration by substitution
  • Technique in integral evaluation

    reverse chain rule or change of variables, is a method for evaluating integrals and antiderivatives. It is the counterpart to the chain rule for differentiation

    Integration by substitution

    Integration_by_substitution

  • Chain rule (disambiguation)
  • Topics referred to by the same term

    The chain rule in calculus is the formula for the derivative/differentiation of a composition of functions or operations. Chain rule may also refer to

    Chain rule (disambiguation)

    Chain_rule_(disambiguation)

  • Chain rule (probability)
  • Probability theory concept

    In probability theory, the chain rule (also called the general product rule) describes how to calculate the probability of the intersection of, not necessarily

    Chain rule (probability)

    Chain_rule_(probability)

  • Leibniz integral rule
  • Differentiation under the integral sign formula

    portal Chain rule Differentiation of integrals Leibniz rule (generalized product rule) Reynolds transport theorem, a generalization of Leibniz rule Protter

    Leibniz integral rule

    Leibniz_integral_rule

  • Jacobi's formula
  • Formula for the derivative of a matrix determinant

    (A_{11},A_{12},\ldots ,A_{21},A_{22},\ldots ,A_{nn})} so that, by the chain rule, its differential is d det ( A ) = ∑ i ∑ j ∂ F ∂ A i j d A i j . {\displaystyle

    Jacobi's formula

    Jacobi's_formula

  • Derivative (multivariable calculus)
  • Type of derivative in mathematics

    the chain rule takes such dependencies into account. Write γ ( x ) = ( x , y ( x ) ) {\displaystyle \gamma (x)=(x,y(x))} . Then, the chain rule says

    Derivative (multivariable calculus)

    Derivative_(multivariable_calculus)

  • Product rule
  • Formula for the derivative of a product

    In calculus, the product rule (or Leibniz rule or Leibniz product rule) is a formula used to find the derivatives of products of two or more functions

    Product rule

    Product rule

    Product_rule

  • Quotient rule
  • Formula for the derivative of a ratio of functions

    g(x)-1\cdot g'(x)}{g(x)^{2}}}={\frac {-g'(x)}{g(x)^{2}}}.} Utilizing the chain rule yields the same result. Let ⁠ h ( x ) = f ( x ) g ( x ) {\displaystyle

    Quotient rule

    Quotient_rule

  • Differentiation rules
  • Rules for computing derivatives of functions

    {df}{dx}}.} The reciprocal rule can be derived either from the quotient rule or from the combination of power rule and chain rule. If f {\textstyle f} and

    Differentiation rules

    Differentiation_rules

  • Conditional entropy
  • Measure of relative information in probability theory

    It has a similar form to chain rule in probability theory, except that addition instead of multiplication is used. Bayes' rule for conditional entropy

    Conditional entropy

    Conditional entropy

    Conditional_entropy

  • Differentiation of trigonometric functions
  • Mathematical process of finding the derivative of a trigonometric function

    \theta \,.} To compute the derivative of the cosine function from the chain rule, first observe the following three facts: cos ⁡ θ = sin ⁡ ( π 2 − θ )

    Differentiation of trigonometric functions

    Differentiation of trigonometric functions

    Differentiation_of_trigonometric_functions

  • Inverse function rule
  • Formula for the derivative of an inverse function

    ( y ) = x {\displaystyle f^{-1}(y)=x} in terms of x and applying the chain rule, yielding that: d x d y d y d x = d x d x {\displaystyle {\frac {dx}{dy}}\

    Inverse function rule

    Inverse function rule

    Inverse_function_rule

  • Wirtinger derivatives
  • Concept in complex analysis

    with respect to z ¯ {\displaystyle {\bar {z}}} using the multivariable chain rule, treating x , y {\displaystyle x,y} as intermediate variables. Definition

    Wirtinger derivatives

    Wirtinger_derivatives

  • Backpropagation
  • Optimization algorithm for artificial neural networks

    in computing parameter updates. It is an efficient application of the chain rule to neural networks. Backpropagation efficiently computes the gradient

    Backpropagation

    Backpropagation

  • Power rule
  • Method of differentiating single-term polynomials

    {\displaystyle f'(x)=f(x)=e^{x}} , as was required. Therefore, applying the chain rule to f ( x ) = e r ln ⁡ x {\displaystyle f(x)=e^{r\ln x}} , we see that

    Power rule

    Power_rule

  • Automatic differentiation
  • Numerical calculations carrying along derivatives

    and elementary functions (exp, log, sin, cos, etc.). By applying the chain rule repeatedly to these operations, partial derivatives of arbitrary order

    Automatic differentiation

    Automatic_differentiation

  • Vector calculus identities
  • Mathematical identities

    vector field. We have the following special cases of the multi-variable chain rule. ∇ ( f ∘ ϕ ) = ( f ′ ∘ ϕ ) ∇ ϕ {\displaystyle \nabla (f\circ \phi )=\left(f'\circ

    Vector calculus identities

    Vector_calculus_identities

  • Fisher information
  • Notion in statistics

    and therefore ∫ f d x = 1 {\displaystyle \int f\,dx=1} . By using the chain rule on the partial derivative of log ⁡ f {\displaystyle \log f} and then dividing

    Fisher information

    Fisher information

    Fisher_information

  • Derivative
  • Instantaneous rate of change (mathematics)

    functions. For constant rule and sum rule, see Apostol 1967, pp. 161, 164, respectively. For the product rule, quotient rule, and chain rule, see Varberg, Purcell

    Derivative

    Derivative

    Derivative

  • Change of variables
  • Mathematical technique for simplification

    different operations, as can be seen when considering differentiation (chain rule) or integration (integration by substitution). A very simple example of

    Change of variables

    Change_of_variables

  • Calculus
  • Branch of mathematics

    of the fundamental theorem of calculus around 1670. The product rule and chain rule, the notions of higher derivatives and Taylor series, and of analytic

    Calculus

    Calculus

  • Differentiable manifold
  • Manifold upon which it is possible to perform calculus

    being able to compute the partial derivatives of the LHS applying the chain rule to the RHS. The same problem is found if one considers instead functions

    Differentiable manifold

    Differentiable manifold

    Differentiable_manifold

  • Itô's lemma
  • Identity in Itô calculus analogous to the chain rule

    stochastic process. It serves as the stochastic calculus counterpart of the chain rule. It can be heuristically derived by forming the Taylor series expansion

    Itô's lemma

    Itô's_lemma

  • Chain rule for Kolmogorov complexity
  • Lower bound for size of software program

    The chain rule[citation needed] for Kolmogorov complexity is an analogue of the chain rule for information entropy, which states: H ( X , Y ) = H ( X )

    Chain rule for Kolmogorov complexity

    Chain_rule_for_Kolmogorov_complexity

  • Conditional mutual information
  • Information theory

    ) {\displaystyle I(X;Y|Z)=I(X;Y,Z)-I(X;Z)} usually rearranged as the chain rule for mutual information I ( X ; Y , Z ) = I ( X ; Z ) + I ( X ; Y | Z )

    Conditional mutual information

    Conditional mutual information

    Conditional_mutual_information

  • Triple product rule
  • Relation between relative derivatives of three variables

    The triple product rule, known variously as the cyclic chain rule, cyclic relation, cyclical rule, Euler's chain rule, or the reciprocity theorem, is a

    Triple product rule

    Triple_product_rule

  • Related rates
  • Problems that make use of the relations to rates of change

    respect to time or one of the other variables requires application of the chain rule, since most problems involve several variables with respect to the input

    Related rates

    Related_rates

  • Jacobian matrix and determinant
  • Matrix of partial derivatives of a vector-valued function

    Composable differentiable functions f : Rn → Rm and g : Rm → Rk satisfy the chain rule, namely J g ∘ f ( x ) = J g ( f ( x ) ) J f ( x ) {\displaystyle \mathbf

    Jacobian matrix and determinant

    Jacobian_matrix_and_determinant

  • Tensor field
  • Assignment of a tensor continuously varying across a region of space

    an advanced explanation of the tensor concept, one can interpret the chain rule in the multivariable case, as applied to coordinate changes, also as the

    Tensor field

    Tensor field

    Tensor_field

  • Bayes' theorem
  • Mathematical rule for inverting probabilities

    theorem (alternatively Bayes' law or Bayes' rule), named after Thomas Bayes (/beɪz/), gives a mathematical rule for inverting conditional probabilities,

    Bayes' theorem

    Bayes'_theorem

  • Stochastic calculus
  • Calculus on stochastic processes

    main benefit of the Stratonovich integral is that it obeys the usual chain rule and therefore does not require Itô's lemma. This enables problems to be

    Stochastic calculus

    Stochastic_calculus

  • Itô calculus
  • Calculus of stochastic differential equations

    Stratonovich integral as an alternative formulation; it does follow the chain rule, and does not require Itô's lemma. The two integral forms can be converted

    Itô calculus

    Itô calculus

    Itô_calculus

  • Bounded variation
  • Real function with finite total variation

    calculus for BV functions: in the paper (Vol'pert 1967) he proved the chain rule for BV functions and in the book (Hudjaev & Vol'pert 1985) he, jointly

    Bounded variation

    Bounded_variation

  • Gradient
  • Multivariate derivative (mathematics)

    a ) . {\displaystyle \nabla (fg)(a)=f(a)\nabla g(a)+g(a)\nabla f(a).} Chain rule Suppose that f : A → R is a real-valued function defined on a subset A

    Gradient

    Gradient

    Gradient

  • Integration by parts
  • Mathematical method in calculus

    using a combination of the inverse chain rule method and the natural logarithm integral condition. The LIATE rule is a rule of thumb for integration by parts

    Integration by parts

    Integration_by_parts

  • Arc length
  • Distance along a curve

    \mathbf {C} \right)'(t)\right|.} Evaluating the derivative requires the chain rule for vector fields: D ( x ∘ C ) = ( x u   x v ) ( u ′ v ′ ) = x u u ′ +

    Arc length

    Arc length

    Arc_length

  • Glossary of calculus
  • and elementary functions (exp, log, sin, cos, etc.). By applying the chain rule repeatedly to these operations, derivatives of arbitrary order can be

    Glossary of calculus

    Glossary_of_calculus

  • Delta rule
  • Gradient descent learning rule in machine learning

    w_{ji}}}} To find the left derivative, we simply apply the power rule and the chain rule: ∂ E ∂ w j i = − ( t j − y j ) ∂ y j ∂ w j i {\displaystyle {\frac

    Delta rule

    Delta_rule

  • Data processing inequality
  • Concept in information processing

    {\displaystyle X\rightarrow Z\rightarrow Y} also forms a Markov chain. One can apply the chain rule for mutual information to obtain two different decompositions

    Data processing inequality

    Data_processing_inequality

  • List of calculus topics
  • rules Derivative of a constant Sum rule in differentiation Constant factor rule in differentiation Linearity of differentiation Power rule Chain rule

    List of calculus topics

    List_of_calculus_topics

  • Inverse function theorem
  • Theorem in mathematics

    {\displaystyle f^{-1}} were differentiable at b {\displaystyle b} , then, by the chain rule, 1 = ( f − 1 ∘ f ) ′ ( a ) = ( f − 1 ) ′ ( b ) f ′ ( a ) {\displaystyle

    Inverse function theorem

    Inverse function theorem

    Inverse_function_theorem

  • Optimized effective potential method
  • Quantum-mechanical framework for simulating molecules and solids

    implicit dependence through the KS orbitals. That motivates the use of the chain rule v x c ( r ) = ∫ d r ′ ∑ s [ δ E x c [ { ϕ s } ] δ ϕ s ( r ′ ) δ ϕ s (

    Optimized effective potential method

    Optimized_effective_potential_method

  • Differential (mathematics)
  • Mathematical notion of infinitesimal difference

    formulae for Stieltjes integral correspond, respectively, to the chain rule and product rule for the differential. Infinitesimal quantities played a significant

    Differential (mathematics)

    Differential_(mathematics)

  • Logarithmic derivative
  • Mathematical operation in calculus

    ln f(x), or the natural logarithm of f. This follows directly from the chain rule: d d x ln ⁡ f ( x ) = 1 f ( x ) d f ( x ) d x {\displaystyle {\frac {d}{dx}}\ln

    Logarithmic derivative

    Logarithmic_derivative

  • Logarithmic differentiation
  • Method of mathematical differentiation

    of variables or functions. Logarithmic differentiation relies on the chain rule as well as properties of logarithms (in particular, the natural logarithm

    Logarithmic differentiation

    Logarithmic_differentiation

  • Piston motion equations
  • Method for deriving motion equations using calculus

    respect to crank angle (take second derivative, using the chain rule and the quotient rule): x ″ = d 2 x d A 2 = − r ⋅ cos ⁡ A − r 2 ⋅ cos 2 ⁡ A l 2 −

    Piston motion equations

    Piston_motion_equations

  • Kernel embedding of distributions
  • Class of nonparametric methods

    [\varphi (Y)\otimes \varphi (Y)].} In practical implementations, the kernel chain rule takes the following form C ^ X Y π = C ^ X ∣ Y C ^ Y Y π = Υ ( G + λ I

    Kernel embedding of distributions

    Kernel_embedding_of_distributions

  • Chain of custody
  • Chronological legal documentation process

    accessed 3 November 2020 Federal Rules of Evidence Rule 901 (Authentication and Identification Rule used for Chain of Custody) Non-Federal Chain of Custody

    Chain of custody

    Chain_of_custody

  • Differential of a function
  • Notion in calculus

    They imply the power rule d ( f n ) = n f n − 1 d f {\displaystyle d(f^{n})=nf^{n-1}df} In addition, various forms of the chain rule hold, in increasing

    Differential of a function

    Differential_of_a_function

  • Scoring rule
  • Measure for evaluating probabilistic forecasts

    is strictly proper for distributions with finite first moment, if the chain rule is included in the conditional specification, meaning that there exists

    Scoring rule

    Scoring rule

    Scoring_rule

  • Stratonovich integral
  • Integral used in physics

    Unlike the Itô calculus, Stratonovich integrals are defined such that the chain rule of ordinary calculus holds. Perhaps the most common situation in which

    Stratonovich integral

    Stratonovich_integral

  • Differential calculus
  • Study of rates of change

    general rules rather than directly from the limit definition. These include the sum rule, product rule, quotient rule, and chain rule. The power rule, for

    Differential calculus

    Differential calculus

    Differential_calculus

  • Fréchet derivative
  • Derivative defined on normed spaces

    = D f ( x ) + D g ( x ) . {\displaystyle D(f+g)(x)=Df(x)+Dg(x).} The chain rule is also valid in this context: if f : U → Y {\displaystyle f:U\to Y} is

    Fréchet derivative

    Fréchet_derivative

  • Acceleration
  • Rate of change of velocity

    acceleration of a particle moving on a curved path can be written using the chain rule of differentiation for the product of two functions of time as: a = d

    Acceleration

    Acceleration

    Acceleration

  • Integral test for convergence
  • Test for infinite series of monotonous terms for convergence

    To see the convergence of the series (5), note that by the power rule, the chain rule, and the above result, − d d x 1 ε ( ln k ⁡ ( x ) ) ε = 1 ( ln k

    Integral test for convergence

    Integral test for convergence

    Integral_test_for_convergence

  • Partial derivative
  • Derivative of a function with multiple variables

    differential Symmetry of second derivatives Triple product rule, also known as the cyclic chain rule. Cajori, Florian (1952), A History of Mathematical Notations

    Partial derivative

    Partial_derivative

  • Computer algebra
  • Scientific area at the interface between computer science and mathematics

    operations, like simplification of expressions, differentiation using the chain rule, polynomial factorization, indefinite integration, etc. Computer algebra

    Computer algebra

    Computer algebra

    Computer_algebra

  • Stuart Dreyfus
  • American industrial engineer, control theorist and mathematician

    backpropagation (due to Henry J. Kelley and Arthur E. Bryson) using only the chain rule. He also coauthored Mind Over Machine with his brother Hubert Dreyfus

    Stuart Dreyfus

    Stuart_Dreyfus

  • Faà di Bruno's formula
  • Generalized chain rule in calculus

    Faà di Bruno's formula is an identity in mathematics generalizing the chain rule to higher derivatives. It is named after Francesco Faà di Bruno (1855

    Faà di Bruno's formula

    Faà_di_Bruno's_formula

  • Stokes' theorem
  • Theorem in vector calculus

    ( J ψ ( u , v ) F ) ∂ ψ ∂ u − ∂ ψ ∂ u ⋅ ( J ψ ( u , v ) F ) ∂ ψ ∂ v (chain rule) = ∂ ψ ∂ v ⋅ ( J ψ ( u , v ) F − ( J ψ ( u , v ) F ) T ) ∂ ψ ∂ u {\displaystyle

    Stokes' theorem

    Stokes' theorem

    Stokes'_theorem

  • Differentiation in Fréchet spaces
  • Mathematical concept

    many of the familiar theorems from calculus hold. In particular, the chain rule is true. With some additional constraints on the Fréchet spaces and functions

    Differentiation in Fréchet spaces

    Differentiation_in_Fréchet_spaces

  • Jet (mathematics)
  • Operation in differential geometry

    J_{0}^{k}f\circ J_{0}^{k}g=J_{0}^{k}(f\circ g).} It is readily verified, using the chain rule, that this constitutes an associative noncommutative operation on the

    Jet (mathematics)

    Jet_(mathematics)

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

    {1}{x^{2}}}}&x>0\\0&x\leq 0.\end{cases}}\end{aligned}}} Using the chain rule repeatedly by mathematical induction, one shows that for any order k,

    Taylor's theorem

    Taylor's theorem

    Taylor's_theorem

  • Bayesian network
  • Probabilistic graphical representation of causal relationships

    (for true) and F (for false). The joint probability function is, by the chain rule of probability, Pr ( G , S , R ) = Pr ( G ∣ S , R ) Pr ( S ∣ R ) Pr (

    Bayesian network

    Bayesian_network

  • Lusona
  • Ideographic art tradition in parts of Africa

    weaving. Various studies suggest that the drawing experts knew specific rules of "chaining" and "elimination" relating to the systematic construction of monolinear

    Lusona

    Lusona

    Lusona

  • Holomorphic function
  • Complex-differentiable (mathematical) function

    real differentiability: It is linear and obeys the product rule, quotient rule, and chain rule. A function is holomorphic on an open set ⁠ U {\displaystyle

    Holomorphic function

    Holomorphic function

    Holomorphic_function

  • Rules of Go
  • Details of the rules for the abstract strategy board game for two players

    a chain. The basic rules are formulated here in a more detailed way to ease their presentation in § Explanation of the basic rules below. (Each rule and

    Rules of Go

    Rules of Go

    Rules_of_Go

  • Conditional probability
  • Probability of an event occurring, given that another event has already occurred

    portal Bayes' theorem Bayesian epistemology Borel–Kolmogorov paradox Chain rule (probability) Class membership probabilities Conditional independence

    Conditional probability

    Conditional probability

    Conditional_probability

  • Liouville's theorem (differential algebra)
  • Criterion for integration in terms of elementary functions

    {\displaystyle F,} in which case, this condition is analogous to the ordinary chain rule. However, F {\displaystyle F} is not necessarily equipped with a unique

    Liouville's theorem (differential algebra)

    Liouville's_theorem_(differential_algebra)

  • Hypothetical syllogism
  • Syllogism with conditional premise(s)

    syllogism is the name of a valid rule of inference (often abbreviated HS and sometimes also called the chain argument, chain rule, or the principle of transitivity

    Hypothetical syllogism

    Hypothetical_syllogism

  • Flag algebra
  • Technique in graph theory

    this to sets of σ {\displaystyle \sigma } -flags gives the Chain Rule: Theorem (Chain Rule): If F 1 , F 2 , … , F t , G {\displaystyle F_{1},F_{2},\ldots

    Flag algebra

    Flag_algebra

  • Metric tensor
  • Structure defining distance on a manifold

    {\displaystyle \left\|\cdot \right\|} represents the Euclidean norm. Here the chain rule has been applied, and the subscripts denote partial derivatives: r → u

    Metric tensor

    Metric_tensor

  • Markov chain
  • Random process independent of past history

    In probability theory and statistics, a Markov chain or Markov process is a stochastic process describing a sequence of possible events in which the probability

    Markov chain

    Markov chain

    Markov_chain

  • State-dependent information
  • State-dependent measures that converge to the mutual information

    P_{X}]} . As a special case of the chain-rule for Kullback-Liebler divergerences, specific-surprise follows the chain-rule for variables. Using Z {\displaystyle

    State-dependent information

    State-dependent_information

  • Cyclic (mathematics)
  • Index of articles associated with the same name

    There are many terms in mathematics that begin with cyclic: Cyclic chain rule, for derivatives, used in thermodynamics Cyclic code, linear codes closed

    Cyclic (mathematics)

    Cyclic_(mathematics)

  • Richards equation
  • Representation of water movement in unsaturated soils

    \theta (h)} , which is known as the water retention curve. Applying the chain rule, the Richards equation may be reformulated as either h {\displaystyle

    Richards equation

    Richards_equation

  • Limit of a function
  • Point to which functions converge in analysis

    ( x ) ) = c . {\displaystyle \lim _{x\to a}f(g(x))=c.} However, this "chain rule" does hold if one of the following additional conditions holds: f(b) =

    Limit of a function

    Limit_of_a_function

  • Notation for differentiation
  • Notation of differential calculus

    especially helpful when considering partial derivatives. It also makes the chain rule easy to remember and recognize: d y d x = d y d u ⋅ d u d x . {\displaystyle

    Notation for differentiation

    Notation_for_differentiation

  • Matrix calculus
  • Specialized notation for multivariable calculus

    mind the most important rules: the chain rule, product rule and sum rule. The sum rule applies universally, and the product rule applies in most of the

    Matrix calculus

    Matrix_calculus

  • Gateaux derivative
  • Generalization of the concept of directional derivative

    properties, also consequences of the fundamental theorem, include: (The chain rule) d ( G ∘ F ) ( u ; x ) = d G ( F ( u ) ; d F ( u ; x ) ) {\displaystyle

    Gateaux derivative

    Gateaux_derivative

  • Debye–Hückel theory
  • Model describing the departures from ideality in solutions of electrolytes and plasmas

    {\displaystyle R(r)} in favor of r {\displaystyle r} while carrying out the chain rule and substituting R ′ ( r ) = a {\displaystyle {R^{\prime }}(r)=a} , then

    Debye–Hückel theory

    Debye–Hückel_theory

  • Seppo Linnainmaa
  • Finnish mathematician and computer scientist

    function that can be represented as a graph, by recursively applying the chain rule to the building blocks of the function. Linnainmaa published it first

    Seppo Linnainmaa

    Seppo_Linnainmaa

  • Schröder's equation
  • Equation for fixed point of functional composition

    meaning h(a) = a, then either Ψ(a) = 0 (or ∞) or s = 1. Application of the chain rule shows that the eigenvalue s is given by s = h′(a), provided that Ψ(a)

    Schröder's equation

    Schröder's equation

    Schröder's_equation

  • Chain (disambiguation)
  • Topics referred to by the same term

    up chain in Wiktionary, the free dictionary. A chain is a series of connected links which are typically made of metal. Chain may also refer to: Chain mail

    Chain (disambiguation)

    Chain_(disambiguation)

  • Conway chained arrow notation
  • Means of expressing certain extremely large numbers

    together form a chain of length n + 1 {\displaystyle n+1} . Any chain represents an integer, according to the six rules below. Two chains are said to be

    Conway chained arrow notation

    Conway_chained_arrow_notation

  • Calculus on Euclidean space
  • Calculus of functions generalization

    h → 0 {\displaystyle h\to 0} . As in the one-variable case, there is Chain rule— Let f {\displaystyle f} be as above and g : Y → Z {\displaystyle g:Y\to

    Calculus on Euclidean space

    Calculus_on_Euclidean_space

  • Q-derivative
  • Q-analog of the ordinary derivative

    \quad g(x)g(qx)\neq 0.} There is also a rule similar to the chain rule for ordinary derivatives. Let g ( x ) = c x k {\displaystyle

    Q-derivative

    Q-derivative

  • Line integral
  • Definite integral of a scalar or vector field along a path

    G , {\displaystyle \mathbf {F} =\nabla G,} then by the multivariable chain rule the derivative of the composition of G and r(t) is d G ( r ( t ) ) d t

    Line integral

    Line_integral

  • Descent (mathematics)
  • Mathematical concept that extends the intuitive idea of gluing in topology

    acting on various fibers. Another major point is the relation with the chain rule: the discussion of the way there of constructing tensor fields can be

    Descent (mathematics)

    Descent_(mathematics)

  • Logarithm
  • Mathematical function, inverse of an exponential function

    evaluates to ln(b) bx by the properties of the exponential function, the chain rule implies that the derivative of logb x is given by d d x log b ⁡ x = 1

    Logarithm

    Logarithm

    Logarithm

  • Snow chains
  • Devices fitted to the tires of vehicles to improve traction on snow and ice

    Snow chains, or tire chains, are devices fitted to the tires of vehicles to provide increased traction when driving through snow and ice. Snow chains attach

    Snow chains

    Snow chains

    Snow_chains

  • Autonomous system (mathematics)
  • Concept in mathematics

    {dx}{dt}}} and expressing the second derivative of x {\displaystyle x} via the chain rule as d 2 x d t 2 = d v d t = d x d t d v d x = v d v d x {\displaystyle

    Autonomous system (mathematics)

    Autonomous system (mathematics)

    Autonomous_system_(mathematics)

  • Bernoulli differential equation
  • Type of ordinary differential equation

    derivative of u x 2 {\displaystyle ux^{2}} by reversing the product rule. Applying the chain rule and integrating both sides with respect to x {\displaystyle

    Bernoulli differential equation

    Bernoulli_differential_equation

  • List of cryptocurrencies
  • Quader, Saad; Russel, Alexander (2019). The combinatorics of the longest-chain rule: Linear consistency for proof-of-stake blockchains (PDF) (Technical report)

    List of cryptocurrencies

    List_of_cryptocurrencies

  • Stuart Haber
  • American cryptographer and co-inventor of the Blockchain

    and implemented an on-chain miner voting system. Under the longest-chain rule of Nakamoto Consensus, the community-governed chain—backed by 74% of the

    Stuart Haber

    Stuart_Haber

  • Geodesics in general relativity
  • Generalization of straight line to a curved space time

    motion from the form which uses proper time as a parameter using the chain rule. Notice that both sides of this last equation vanish when the mu index

    Geodesics in general relativity

    Geodesics_in_general_relativity

  • Lyapunov function
  • Concept in the analysis of dynamical systems

    to assume the equilibrium point occurs at 0 {\displaystyle 0} . By the chain rule, for any function, H : R n → R , {\displaystyle H:\mathbb {R} ^{n}\to

    Lyapunov function

    Lyapunov_function

  • Forward chaining
  • Inference engine in an expert system

    Forward chaining is a popular implementation strategy for expert systems, business and production rule systems. The opposite of forward chaining is backward

    Forward chaining

    Forward_chaining

  • Reciprocal rule
  • Derivative method in calculus

    {1}{\sin x}}\cdot {\frac {\cos x}{\sin x}}=-\csc x\cot x.\end{aligned}}} Chain rule – Formula in calculus Difference quotient – Expression in calculus Differentiation

    Reciprocal rule

    Reciprocal_rule

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