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Algebra & Trigonometry with Analytic Geometry

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter9: Systems Of Equations And Inequalities

Section9.10: Partial Fractions

Problem 28E

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Problem Consider the following optimization problem:
min f(x, y) = 3x² + yt
x,y
(a). Apply one iteration of the gradient descent algorithm with (1, -2) as the initial point
and with the parameters a = 0.1 and B = 0.5
(b) Repeat (a) using a = 0.1 but B = 0.1 instead. How does the f - value of the new iterate
compare to that in (a).
(c) Comment on the tradeoffs involved in choice of B.

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