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Interpolation
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What is Interpolation ? Given (x0,y0), (x1,y1), …… (xn,yn), find the value of ‘y’ at a value of ‘x’ that is not given. Figure 1 Interpolation of discrete.
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Interpolants Evaluate Differentiate, and Integrate
Polynomials are the most common choice of interpolants because they are easy to: Evaluate Differentiate, and Integrate
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1. Direct method
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Direct Method Given ‘n+1’ data points (x0,y0), (x1,y1),………….. (xn,yn),
pass a polynomial of order ‘n’ through the data as given below: where a0, a1,………………. an are real constants. Set up ‘n+1’ equations to find ‘n+1’ constants. To find the value ‘y’ at a given value of ‘x’, simply substitute the value of ‘x’ in the above polynomial.
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Example 1 The upward velocity of a rocket is given as a function of time in Table 1. Find the velocity at t=16 seconds using the direct method for linear interpolation. Table 1 Velocity as a function of time. 10 227.04 15 362.78 20 517.35 22.5 602.97 30 901.67 Figure 2 Velocity vs. time data for the rocket example
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Linear Interpolation Solving the above two equations gives, Hence
Figure 3 Linear interpolation. Hence
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Example 2 The upward velocity of a rocket is given as a function of time in Table 2. Find the velocity at t=16 seconds using the direct method for quadratic interpolation. Table 2 Velocity as a function of time. 10 227.04 15 362.78 20 517.35 22.5 602.97 30 901.67 Figure 5 Velocity vs. time data for the rocket example
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Quadratic Interpolation
Figure 6 Quadratic interpolation. Solving the above three equations gives
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Quadratic Interpolation (cont.)
The absolute relative approximate error obtained between the results from the first and second order polynomial is
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Example 3 The upward velocity of a rocket is given as a function of time in Table 3. Find the velocity at t=16 seconds using the direct method for cubic interpolation. Table 3 Velocity as a function of time. 10 227.04 15 362.78 20 517.35 22.5 602.97 30 901.67 Figure 6 Velocity vs. time data for the rocket example
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Cubic Interpolation Figure 7 Cubic interpolation.
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Cubic Interpolation (contd)
The absolute percentage relative approximate error between second and third order polynomial is
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Comparison Table Table 4 Comparison of different orders of the polynomial.
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Distance from Velocity Profile
Find the distance covered by the rocket from t=11s to t=16s ?
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Acceleration from Velocity Profile
Find the acceleration of the rocket at t=16s given that
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2. Spline Method
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Why Splines ?
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Figure : Higher order polynomial interpolation is a bad idea
Why Splines ? Figure : Higher order polynomial interpolation is a bad idea
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Linear Interpolation
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Linear Interpolation (contd)
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Figure. Velocity vs. time data
Example The upward velocity of a rocket is given as a function of time in Table 1. Find the velocity at t=16 seconds using linear splines. Table Velocity as a function of time (s) (m/s) 10 227.04 15 362.78 20 517.35 22.5 602.97 30 901.67 Figure. Velocity vs. time data for the rocket example
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Linear Interpolation
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Quadratic Interpolation
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Quadratic Interpolation (contd)
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Quadratic Splines (contd)
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Quadratic Splines (contd)
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Quadratic Splines (contd)
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Quadratic Spline Example
The upward velocity of a rocket is given as a function of time. Using quadratic splines Find the velocity at t=16 seconds Find the acceleration at t=16 seconds Find the distance covered between t=11 and t=16 seconds Table Velocity as a function of time (s) (m/s) 10 227.04 15 362.78 20 517.35 22.5 602.97 30 901.67 Figure. Velocity vs. time data for the rocket example 29
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Solution Let us set up the equations
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Each Spline Goes Through Two Consecutive Data Points
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Each Spline Goes Through Two Consecutive Data Points
v(t) s m/s 10 227.04 15 362.78 20 517.35 22.5 602.97 30 901.67 32
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Derivatives are Continuous at Interior Data Points
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Derivatives are continuous at Interior Data Points
At t=10 At t=15 At t=20 At t=22.5 34
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Last Equation
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Final Set of Equations 36
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Coefficients of Spline
ai bi ci 1 22.704 2 0.8888 4.928 88.88 3 −0.1356 35.66 −141.61 4 1.6048 −33.956 554.55 5 28.86 −152.13 37
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Final Solution 38
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Velocity at a Particular Point
a) Velocity at t=16
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Acceleration from Velocity Profile
b) The quadratic spline valid at t=16 is given by
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Distance from Velocity Profile
c) Find the distance covered by the rocket from t=11s to t=16s. 41
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3. Newton’s Divided Differences
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Newton’s Divided Difference Method
Linear interpolation: Given pass a linear interpolant through the data where
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Figure 2: Velocity vs. time data
Example The upward velocity of a rocket is given as a function of time in Table 1. Find the velocity at t=16 seconds using the Newton Divided Difference method for linear interpolation. t v(t) s m/s 10 227.04 15 362.78 20 517.35 22.5 602.97 30 901.67 Figure 2: Velocity vs. time data for the rocket example Table 1: Velocity as a function of time
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Linear Interpolation
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Linear Interpolation (contd)
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Quadratic Interpolation
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Figure 2: Velocity vs. time data
Example The upward velocity of a rocket is given as a function of time in Table 1. Find the velocity at t=16 seconds using the Newton Divided Difference method for quadratic interpolation. t v(t) s m/s 10 227.04 15 362.78 20 517.35 22.5 602.97 30 901.67 Figure 2: Velocity vs. time data for the rocket example Table 1: Velocity as a function of time
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Quadratic Interpolation (contd)
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Quadratic Interpolation (contd)
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Quadratic Interpolation (contd)
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General Form where Rewriting
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General Form
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General form
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Figure 2: Velocity vs. time data
Example The upward velocity of a rocket is given as a function of time in Table 1. Find the velocity at t=16 seconds using the Newton Divided Difference method for cubic interpolation. t v(t) s m/s 10 227.04 15 362.78 20 517.35 22.5 602.97 30 901.67 Figure 2: Velocity vs. time data for the rocket example Table 1: Velocity as a function of time
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Example The velocity profile is chosen as
we need to choose four data points that are closest to
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Example
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Example
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Comparison Table
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Distance from Velocity Profile
Find the distance covered by the rocket from t=11s to t=16s ?
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Acceleration from Velocity Profile
Find the acceleration of the rocket at t=16s given that
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