Least-Squares fitting of King's Equation

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Homework Help Overview

The discussion revolves around applying least-squares fitting to King's Equation, which relates the current in a heated wire to mass airflow. The original poster seeks to determine the coefficients of the equation through measured data.

Discussion Character

  • Exploratory, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the non-linear nature of the problem and consider methods for solving it, including linearization and non-linear least squares approaches. There is also mention of the dependency of the solution method on the number of data points available.

Discussion Status

The conversation is active, with participants confirming the non-linear aspect of the problem and exploring different solution methods. Some guidance on potential approaches has been provided, but no consensus has been reached on a specific method.

Contextual Notes

Participants are considering the implications of having a varying number of data points on the choice of solution method, specifically noting that linearization may be applicable with fewer data points.

BowlingSuperior
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Homework Statement


A hot wire is placed in a region of mass air flow. There is a current on the wire causing it (wire) to heat up. The current is regulated such that the wire temperature is constant.

Measurement of current on the wire is related to the mass airflow by King's Equation.

The goal is to perform a least-squares solution of measured data in order to determine coefficients of Kings equation.


Homework Equations



King's Equation: output = a + b * flow ^c

with a, b, and c coefficients to be determined.


The Attempt at a Solution



Solve equation using linear least-squares. Problem is the flow raised to the "c" coefficient. Linearization of the equation *may* be the answer? Otherwise using something like Levenberg-Marquardt's non-linear method?
 
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Yep, it's a non-linear problem. Solution method depends on how many data points you have. If it is 3, then you could solve using linearization (Newton Raphson perhaps, see link in my footer). But if you have a least squares situation (i.e n > 3), then non-linear least squares using Levenberg-Marquardt would be perfectly applicable (also see link in my footer).:smile:
 
hotvette said:
Yep, it's a non-linear problem. Solution method depends on how many data points you have. If it is 3, then you could solve using linearization (Newton Raphson perhaps, see link in my footer). But if you have a least squares situation (i.e n > 3), then non-linear least squares using Levenberg-Marquardt would be perfectly applicable (also see link in my footer).:smile:

Thanks for the feedback and confirmation!

BTW - what software package did you use to generate the 2-page tutorials? They look excellent!

- Bruce
 
BowlingSuperior said:
what software package did you use to generate the 2-page tutorials? They look excellent!

- Bruce

Thanks! I used Excel, Powerpoint, and a bit-map capture utility.
 

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