# Differential calculus

 related topics {math, number, function} {math, energy, light} {rate, high, increase} {theory, work, human} {school, student, university} {car, race, vehicle} {game, team, player}
 In mathematics, differential calculus is a subfield of calculus concerned with the study of the rates at which quantities change. It is one of the two traditional divisions of calculus, the other being integral calculus. The primary objects of study in differential calculus are the derivative of a function, related notions such as the differential, and their applications. The derivative of a function at a chosen input value describes the rate of change of the function near that input value. The process of finding a derivative is called differentiation. Geometrically, the derivative at a point equals the slope of the tangent line to the graph of the function at that point. For a real-valued function of a single real variable, the derivative of a function at a point generally determines the best linear approximation to the function at that point. Differential calculus and integral calculus are connected by the fundamental theorem of calculus, which states that differentiation is the reverse process to integration. Differentiation has applications to all quantitative disciplines. In physics, the derivative of the displacement of a moving body with respect to time is the velocity of the body, and the derivative of velocity with respect to time is acceleration. Newton's second law of motion states that the derivative of the momentum of a body equals the force applied to the body. The reaction rate of a chemical reaction is a derivative. In operations research, derivatives determine the most efficient ways to transport materials and design factories. By applying game theory, differentiation can provide best strategies for competing corporations[citation needed]. Derivatives are frequently used to find the maxima and minima of a function. Equations involving derivatives are called differential equations and are fundamental in describing natural phenomena. Derivatives and their generalizations appear in many fields of mathematics, such as complex analysis, functional analysis, differential geometry, measure theory and abstract algebra. Full article ▸
 related documents Fourier analysis Dihedral group Euler characteristic Plane (geometry) Wiener process Gradient Complex analysis Ordinary differential equation Key size Countable set Filter (mathematics) Modular arithmetic Exclusive or Semigroup XPath 1.0 Ultrafilter Partition (number theory) Elliptic curve Absolute convergence Galois theory Homological algebra Natural transformation Scope (programming) Gaussian quadrature Tychonoff's theorem Sequence Ideal class group IEEE 754-1985 Fuzzy logic Database normalization