0
Add your answer:
Earn +20 pts
What is meant by Piecewise linear interpolation?
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.
How are gaps in a sequence filled in?
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.
What are the uses of interpolation in statistics?
Linear Interpolation (Statistics) Below is a Frequency Table of the Lengths, to the nearest minute, of phone calls made from an office one day.Length (min)-----------------Frequency0 - 2 --------------------------------- 83 - 5 --------------------------------- 116 - 9 --------------------------------- 1610 - 15 ----------------------------- 1416 - 20 ------------------------------ 9> 20 ---------------------------------- 3
What is a linear interpolation?
Suppose you know the density of some (strange) substance at 10oC and 20oC, 125 gm/cm3 and 145 gm/cm3. You want to know its density at, say, 13oC. You could use linear interpolation. To do so, you first find the linear function that satisfies the points (10, 125) and (20, 145). I think it's D=105 + 2t. Now since 13 is between the temperatures for which we have data we can interpolate: 105 + 2(13) = 131 or 131 gm/cm3.
Interpolation program using matlab?
Matlab has a lot of functions for interpolate, depending on what you're trying to do. You don't need a toolbox for it, either. Type "doc interp1" to get started and navigate the help file from there.
What is meant by Piecewise linear interpolation?
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.
What are the advantages of linear interpolation?
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.
What is the formula for linear interpolation?
pu = p0 + u(p1 - p0)
What is the process of predicting values between the graphed points on a line?
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".)
How are gaps in a sequence filled in?
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.
Where you use interpolation?
spatial interpolation is used in cartography to obtain a 'best guess' value for missing vaues on a map
Which is reliable interpolation or extrapolation?
interpolation, because we are predicting from data in the range used to create the least-squares line.
How is interpolation being done?
its used between given data
What are the advantages and disadvantages of the bisection method compare with that of the linear interpolation method?
The bisection method is simpler to implement and guarantees convergence to a root if one exists within the initial interval, but it can be slower as it always halves the interval. In contrast, linear interpolation converges faster but does not guarantee convergence, and it might fail if the function is not well approximated by a linear model in the interval.
What are the uses of interpolation in statistics?
Linear Interpolation (Statistics) Below is a Frequency Table of the Lengths, to the nearest minute, of phone calls made from an office one day.Length (min)-----------------Frequency0 - 2 --------------------------------- 83 - 5 --------------------------------- 116 - 9 --------------------------------- 1610 - 15 ----------------------------- 1416 - 20 ------------------------------ 9> 20 ---------------------------------- 3
What is a linear interpolation?
Suppose you know the density of some (strange) substance at 10oC and 20oC, 125 gm/cm3 and 145 gm/cm3. You want to know its density at, say, 13oC. You could use linear interpolation. To do so, you first find the linear function that satisfies the points (10, 125) and (20, 145). I think it's D=105 + 2t. Now since 13 is between the temperatures for which we have data we can interpolate: 105 + 2(13) = 131 or 131 gm/cm3.
Interpolation program using matlab?
Matlab has a lot of functions for interpolate, depending on what you're trying to do. You don't need a toolbox for it, either. Type "doc interp1" to get started and navigate the help file from there.
