(c) Use the steepest gradient descent method (a.k.a. gradient descent with exact line search) to find the minimizer of f(x1,x2) = x} +x3, %3D

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 92E
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i need Part C Solution

2. Hint: you may need to use a calculator.
(a) Use the golden section method to find the minimizer of the function in Eq. (1) within interval
[1,3]. Estimate in advance how many iterations are needed so that the range is smaller than
0.2. Write down your procedure performed and the results in each step.
f(x) = r* +x² – 4x°. ev
(b) Use the secant method to find a minimizer of the function in Eq. (1) with initial points x° = 1
%3D
and x' = 1.1. Write down the first five iterations, including the procedure performed and the
results obtained in each step.
(c) Use the steepest gradient descent method (a.k.a. gradient descent with exact line search) to
find the minimizer of
f(x1,x2) = x} +x3,
%3D
Transcribed Image Text:2. Hint: you may need to use a calculator. (a) Use the golden section method to find the minimizer of the function in Eq. (1) within interval [1,3]. Estimate in advance how many iterations are needed so that the range is smaller than 0.2. Write down your procedure performed and the results in each step. f(x) = r* +x² – 4x°. ev (b) Use the secant method to find a minimizer of the function in Eq. (1) with initial points x° = 1 %3D and x' = 1.1. Write down the first five iterations, including the procedure performed and the results obtained in each step. (c) Use the steepest gradient descent method (a.k.a. gradient descent with exact line search) to find the minimizer of f(x1,x2) = x} +x3, %3D
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