fast please in good writing and don't copy from any other sources Given a set of data points (ti. yi) as belowty11025.493 0.894-0.145 -1.076 0.84The function f(t, x₁, x₂) = x₁ exp(-t 2) is proposed to fit the data above Table.(a) Write the objection function of the least square minimization problem.(b) Apply 1 iteration of Gauss Newton method to above problem using initial guess21 = 10 and 2 = 0.001.

Given that: Set of data points=ti,yi, t y 1 10 2 5.49 3 0.89 4 -0.14 5 -1.07 6 0.84…

) ) Given a set of data points (t.. yi) as below ty 1 10 2 5.49 3 0.89 -0.14 5 -1.07 6 0.84 The function f(t, x₁, x₂) = x₁ exp(-t x2) is proposed to fit the data above Table. (a) Write the objection function of the least square minimization problem. (b) Apply 1 iteration of Gauss Newton method to above problem using initial guess 21 10 and 2 = 0.001.

) ) Given a set of data points (t.. yi) as below ty 1 10 2 5.49 3 0.89 -0.14 5 -1.07 6 0.84 The function f(t, x₁, x₂) = x₁ exp(-t x2) is proposed to fit the data above Table. (a) Write the objection function of the least square minimization problem. (b) Apply 1 iteration of Gauss Newton method to above problem using initial guess 21 10 and 2 = 0.001.

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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