Engineering - Interpolator Formula
x1 | y1 |
x2 | y2 |
x3 | y3 |
Solve for y2
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linear interpolation single interpolator | |
bilinear interpolation double interpolator |
Linear interpolation is a mathematical technique used to estimate an unknown value between two known data points on a straight line, assuming a constant rate of change between the points and that the function connecting them is linear.
Curve fitting, on the other hand, is a broader process of constructing a curve, or mathematical function, that best fits a series of data points. For example, linear interpolation can be considered a simple form of curve fitting where the curve is a straight line.
Linear interpolation and curve fitting are essential because they provide efficient ways to estimate values within a data set when exact data is unavailable, analyze data trends, and create graphical representations of data. These techniques are critical for approximation, data analysis, and visualization.
The linear interpolation equation is given by:
y = y1 + (x - x1) * ((y2 - y1) / (x2 - x1))
where (x1, y1) and (x2, y2) are the known data points, x is the unknown point's x-value, and y is the unknown point's y-value.
To solve for y using linear interpolation, follow these steps:
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