Using Newton Raphson for Root Finding and Parameters' Estimation

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Isa Isa
Isa Isa el 25 de Jun. de 2014
Respondida: arushi el 3 de Sept. de 2024
Goood Day,
I have a cubic root equation. I use newton-raphson for finding the roots. I want to do parameter estimation (tuning of the equation parameters to be able to give better prediction) using experiment data. Can anyone help me on how to do this?
Thanks for your anticipated help Regards, Isa

Respuestas (1)

arushi
arushi el 3 de Sept. de 2024
Hi Isa,
Below is a complete MATLAB script that performs parameter estimation for a cubic root equation using experimental data. It uses the fminsearch function to minimize the sum of squared errors between the experimental data and the model predictions.
% Define the objective function
function error = objectiveFunction(params, X, Y)
a = params(1);
b = params(2);
c = params(3);
% Predicted values
Y_pred = a * nthroot(X - b, 3) + c;
% Sum of squared errors
error = sum((Y - Y_pred).^2);
end
% Main script
% Experimental data (replace with your actual data)
X = [1, 2, 3, 4, 5]; % Example input values
Y = [2.5, 3.1, 3.8, 4.6, 5.5]; % Example observed outputs
% Initial guess for parameters [a, b, c]
initialParams = [1, 0, 0];
% Perform optimization using fminsearch
options = optimset('Display', 'iter'); % Show iteration details
optimizedParams = fminsearch(@(params) objectiveFunction(params, X, Y), initialParams, options);
Iteration Func-count f(x) Procedure 0 1 34.6349 1 4 32.812 initial simplex 2 5 32.812 reflect 3 7 31.6138 expand 4 9 28.7511 expand 5 11 26.5558 expand 6 13 21.9337 expand 7 15 15.679 expand 8 17 9.54283 expand 9 19 2.41587 expand 10 21 1.45351 reflect 11 23 1.14722 reflect 12 25 1.14722 contract outside 13 27 1.14722 contract inside 14 29 0.927037 contract inside 15 31 0.927037 contract inside 16 33 0.886597 contract inside 17 35 0.886597 contract inside 18 37 0.87412 contract inside 19 39 0.866634 contract inside 20 41 0.866634 contract inside 21 43 0.861225 contract inside 22 45 0.860257 contract inside 23 47 0.85832 contract inside 24 49 0.85832 contract inside 25 51 0.857801 contract inside 26 53 0.857674 contract inside 27 55 0.857482 contract inside 28 57 0.857383 contract inside 29 59 0.857289 contract inside 30 61 0.857277 contract inside 31 63 0.857237 contract inside 32 65 0.857233 contract inside 33 67 0.857213 contract inside 34 69 0.857213 contract inside 35 71 0.857204 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expand 76 144 0.852064 expand 77 146 0.849809 expand 78 148 0.845648 expand 79 150 0.840966 expand 80 152 0.834387 expand 81 154 0.823047 expand 82 155 0.823047 reflect 83 157 0.810982 expand 84 159 0.805072 expand 85 161 0.797987 expand 86 163 0.797987 contract inside 87 165 0.79494 expand 88 167 0.79494 contract inside 89 169 0.783492 expand 90 171 0.783492 contract inside 91 173 0.778369 expand 92 175 0.759858 expand 93 176 0.759858 reflect 94 178 0.743513 expand 95 180 0.716019 expand 96 182 0.67517 expand 97 183 0.67517 reflect 98 185 0.618405 expand 99 187 0.595904 expand 100 189 0.491588 expand 101 191 0.491588 contract inside 102 192 0.491588 reflect 103 193 0.491588 reflect 104 195 0.437306 expand 105 196 0.437306 reflect 106 198 0.436449 reflect 107 200 0.436449 contract inside 108 202 0.434228 contract inside 109 204 0.427912 contract inside 110 206 0.427236 contract inside 111 208 0.427236 contract inside 112 210 0.427236 contract outside 113 212 0.426875 contract inside 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148 274 0.425981 expand 149 276 0.42598 expand 150 278 0.425979 expand 151 280 0.425976 expand 152 282 0.425974 expand 153 284 0.42597 expand 154 286 0.42596 expand 155 287 0.42596 reflect 156 289 0.425946 expand 157 291 0.425928 expand 158 293 0.425908 expand 159 295 0.425872 expand 160 297 0.425807 expand 161 299 0.425747 expand 162 301 0.425665 expand 163 303 0.425448 expand 164 304 0.425448 reflect 165 306 0.425366 expand 166 308 0.425073 expand 167 310 0.424909 expand 168 312 0.424909 contract outside 169 314 0.424737 expand 170 316 0.424122 expand 171 317 0.424122 reflect 172 319 0.423983 expand 173 321 0.422271 expand 174 322 0.422271 reflect 175 323 0.422271 reflect 176 325 0.419439 expand 177 326 0.419439 reflect 178 328 0.418158 expand 179 330 0.416935 expand 180 332 0.410423 expand 181 333 0.410423 reflect 182 334 0.410423 reflect 183 336 0.402328 expand 184 337 0.402328 reflect 185 339 0.394195 expand 186 341 0.386898 expand 187 343 0.372116 expand 188 345 0.36647 expand 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contract inside 336 597 0.0595331 expand 337 599 0.0595331 contract inside 338 600 0.0595331 reflect Exiting: Maximum number of function evaluations has been exceeded - increase MaxFunEvals option. Current function value: 0.059533
% Display results
disp('Optimized Parameters:');
Optimized Parameters:
disp(optimizedParams);
14.5506 -13.5564 -33.1501
% Calculate predicted values with optimized parameters
Y_pred_optimized = optimizedParams(1) * nthroot(X - optimizedParams(2), 3) + optimizedParams(3);
% Plot the results
figure;
plot(X, Y, 'o', 'DisplayName', 'Experimental Data');
hold on;
plot(X, Y_pred_optimized, '-', 'DisplayName', 'Fitted Curve');
legend show;
xlabel('X');
ylabel('Y');
title('Parameter Estimation');
Hope this helps.

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