Interpolation in general is a way to determine intermediate values from a set of coordinates. Linear interpolation would be to fit a single linear function to the entire set of coordinates. Piecewise linear interpolation would then be to determine intermediate values from the set of coordinates by fitting linear functions between each set of coordinates. Connect-the-dots so to speak.
Linear interpolation is used as a method used in mathematics of constructing a curve that has the best fit to a series of points of data using linear polynomials.
The form of the piecewise functions can be arbitrarily complex, but higher degrees of specification require considerably more user input.
Piecewise, linear, exponential, quadratic, Onto, cubic, polynomial and absolute value.
What you are asking is not precisely clear, but in general missing data is filled in by a process of interpolation. eg. Linear interpolation is a method of curve fitting using linear polynomials to construct new data points within the range of a discrete set of known data points.
f is a piecewise smooth funtion on [a,b] if f and f ' are piecewise continuous on [a,b]
J. F. P. Hudson has written: 'Piecewise linear topology' -- subject(s): Piecewise linear topology
Linear interpolation is used as a method used in mathematics of constructing a curve that has the best fit to a series of points of data using linear polynomials.
Advantages over what? For what? Generally linear interpolation is done because one infers that the relationship between points is linear and/or it is the the easiest kind of interpolation. In the absence of data or theory to help you infer the relationship between points the principle of parsimony suggest that use the simplest that gets the job done - linear.
The form of the piecewise functions can be arbitrarily complex, but higher degrees of specification require considerably more user input.
pu = p0 + u(p1 - p0)
Piecewise, linear, exponential, quadratic, Onto, cubic, polynomial and absolute value.
The process is called interpolation, which applies a computed formula of the line to a given x or y value. (More specifically, it is "linear interpolation".)
What you are asking is not precisely clear, but in general missing data is filled in by a process of interpolation. eg. Linear interpolation is a method of curve fitting using linear polynomials to construct new data points within the range of a discrete set of known data points.
f is a piecewise smooth funtion on [a,b] if f and f ' are piecewise continuous on [a,b]
the piecewise linear chaotic map is defined as follows: xi+1=Fpi(xi)= xi/pi if 0<=xi<pi (xi-pi)/(0.5-pi) if pi<=xi<0.5 Fp(1-xi) if xi>=0.5 where 0<=xi<1 and the control parameter 0<pi<0.5
piecewise
A piecewise linear (PWL) model can be used to simplify a problem, by replacing a complex model with on that is made up of simpler (linear) pieces. For example, the IV curve for a diode is Id = Is( exp(Vd/n*Vt) - 1). Quite messy. We can instead represent the curve by two pieces. One where the current is zero from 0V, to arround 0.5-0.7V. From here, we approximate the exponential curve with a linear relationship. This linear region is typically fixed on a point on the exponential curve known as the operating point, Q. See link.