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Logarithmic differentiation is a technique which uses logarithms and its differentiation rules to simplify certain expressions before actually applying the derivative. [ citation needed ] Logarithms can be used to remove exponents, convert products into sums, and convert division into subtraction — each of which may lead to a simplified ...
Isaac Newton's notation for differentiation (also called the dot notation, fluxions, or sometimes, crudely, the flyspeck notation [12] for differentiation) places a dot over the dependent variable. That is, if y is a function of t, then the derivative of y with respect to t is
Another common notation for differentiation is by using the prime mark in the symbol of a function . This is known as prime notation , due to Joseph-Louis Lagrange . [ 22 ] The first derivative is written as f ′ ( x ) {\displaystyle f'(x)} , read as " f {\displaystyle f} prime of x {\displaystyle x} , or y ...
Product rule – Formula for the derivative of a product Reciprocal rule – differentiation rule Pages displaying wikidata descriptions as a fallback Table of derivatives – Rules for computing derivatives of functions Pages displaying short descriptions of redirect targets
This formula can be obtained by Taylor series expansion: (+) = + ′ ()! ″ ()! () +. The complex-step derivative formula is only valid for calculating first-order derivatives. A generalization of the above for calculating derivatives of any order employs multicomplex numbers , resulting in multicomplex derivatives.
Download as PDF; Printable version ... Similar rules apply to algebraic and differentiation formulas. For algebraic formulas one may alternatively use the left-most ...
Backward differentiation formula — implicit methods of order 2 to 6; especially suitable for stiff equations; Numerov's method — fourth-order method for equations of the form ″ = (,) Predictor–corrector method — uses one method to approximate solution and another one to increase accuracy
The backward differentiation formula (BDF) is a family of implicit methods for the numerical integration of ordinary differential equations.They are linear multistep methods that, for a given function and time, approximate the derivative of that function using information from already computed time points, thereby increasing the accuracy of the approximation.