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The constant factor rule () ... These rules are given in many books, both on elementary and advanced calculus, in pure and applied mathematics. Those in this article ...
Discrete calculus or the calculus of discrete functions, is the mathematical study of incremental change, ... Constant rule: If is a constant, then = Linearity: if ...
In calculus, the product rule (or Leibniz rule [1] ... One special case of the product rule is the constant multiple rule, which states: if c is a number, ...
In calculus, the derivative of any linear combination of functions equals the same linear combination of the derivatives of the functions; [1] this property is known as linearity of differentiation, the rule of linearity, [2] or the superposition rule for differentiation. [3]
The study of differential calculus is unified with the calculus of finite differences in time scale calculus. [54] The arithmetic derivative involves the function that is defined for the integers by the prime factorization. This is an analogy with the product rule. [55]
In calculus, the Leibniz integral rule for differentiation under the integral sign, named after Gottfried Wilhelm Leibniz, states that for an integral of the form () (,), where < (), < and the integrands are functions dependent on , the derivative of this integral is expressible as (() (,)) = (, ()) (, ()) + () (,) where the partial derivative indicates that inside the integral, only the ...
The dotted vector, in this case B, is differentiated, while the (undotted) A is held constant. The utility of the Feynman subscript notation lies in its use in the derivation of vector and tensor derivative identities, as in the following example which uses the algebraic identity C ⋅( A × B ) = ( C × A )⋅ B :
In calculus, the constant of integration, often denoted by (or ), is a constant term added to an antiderivative of a function () to indicate that the indefinite integral of () (i.e., the set of all antiderivatives of ()), on a connected domain, is only defined up to an additive constant.