You have a nonlinear model to fit to data, with two parameters a and b. Taking the derivative of the error function with respect to a and b led to F and G functions as given below: F(a, b) = ab – a2 G(a, b) = ab + b The initial point for the iteration is given as Z0 = ( 1 1) Apply the Newton-Raphson formula to calculate Z1 . For Jacobian matrix calculation, use numerical derivative approach.
Rate of Change
The relation between two quantities which displays how much greater one quantity is than another is called ratio.
Slope
The change in the vertical distances is known as the rise and the change in the horizontal distances is known as the run. So, the rise divided by run is nothing but a slope value. It is calculated with simple algebraic equations as:
You have a nonlinear model to fit to data, with two parameters a and b. Taking the derivative of the
error function with respect to a and b led to F and G functions as given below:
F(a, b) = ab – a2
G(a, b) = ab + b
The initial point for the iteration is given as Z0 = ( 1
1)
Apply the Newton-Raphson formula to calculate Z1
. For Jacobian matrix calculation, use numerical derivative
approach.
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