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Chegg began trading shares publicly on the New York Stock Exchange in November 2013. [15] Its IPO was reported to have raised $187.5 million, with an initial market capitalization of about $1.1 billion. [16] In 2014, Chegg entered a partnership with book distributor Ingram Content Group to distribute all of Chegg's physical textbook rentals ...
Interpolation with polynomials evaluated at equally spaced points in [,] yields the Newton–Cotes formulas, of which the rectangle rule and the trapezoidal rule are examples. Simpson's rule , which is based on a polynomial of order 2, is also a Newton–Cotes formula.
The result of fitting a set of data points with a quadratic function Conic fitting a set of points using least-squares approximation. In regression analysis, least squares is a parameter estimation method based on minimizing the sum of the squares of the residuals (a residual being the difference between an observed value and the fitted value provided by a model) made in the results of each ...
In an economic model, an exogenous variable is one whose measure is determined outside the model and is imposed on the model, and an exogenous change is a change in an exogenous variable. [ 1 ] : p. 8 [ 2 ] : p. 202 [ 3 ] : p. 8 In contrast, an endogenous variable is a variable whose measure is determined by the model.
Chegg Tutors was founded in 2011 as InstaEDU and launched into public beta in May 2012. At that time, the company also announced that it had raised $1.1M in venture capital funding from The Social+Capital Partnership. [2] Two of the company's co-founders had previously run an in-home tutoring company called Cardinal Scholars.
In mathematics, a parametric equation expresses several quantities, such as the coordinates of a point, as functions of one or several variables called parameters. [ 1 ] In the case of a single parameter, parametric equations are commonly used to express the trajectory of a moving point, in which case, the parameter is often, but not ...
In physics, Liouville's theorem, named after the French mathematician Joseph Liouville, is a key theorem in classical statistical and Hamiltonian mechanics.It asserts that the phase-space distribution function is constant along the trajectories of the system—that is that the density of system points in the vicinity of a given system point traveling through phase-space is constant with time.
The image of a function f(x 1, x 2, …, x n) is the set of all values of f when the n-tuple (x 1, x 2, …, x n) runs in the whole domain of f.For a continuous (see below for a definition) real-valued function which has a connected domain, the image is either an interval or a single value.