he global minimum of the function y = F (x) (function 1 variable) using a climbing algorithm   Climbing algorithm 1. start at a random point x0 def. field on the x-axis, evaluate the function y = F (x0) 2. search the neighbors left and right at a distance of 1 step d, evaluate the function in points y = F (x0-d), y = F (x0 + d) 3. if the value of the function is lower at any of these points, it moves the current solution to this new position 4. if the required number of steps has been performed or a smaller value of y is no longer found, end, otherwise continue in point 2

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
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Find the global minimum of the function y = F (x)
(function 1 variable)
using a climbing algorithm

 

Climbing algorithm
1. start at a random point x0 def. field on the x-axis, evaluate the function y = F (x0)
2. search the neighbors left and right at a distance of 1 step d, evaluate the function in points y = F (x0-d), y = F (x0 + d)
3. if the value of the function is lower at any of these points, it moves the current solution to this new position
4. if the required number of steps has been performed or a smaller value of y is no longer found, end, otherwise continue in point 2

Horolezecky algoritmus - 2D funkcia
180
160
140
lokálne
Globálne
120
minimum
minimum
100
80
60
Ox p-ºx
Xo-d Xo Xo+d
40
20
-20
-6
-4
-2
6.
Transcribed Image Text:Horolezecky algoritmus - 2D funkcia 180 160 140 lokálne Globálne 120 minimum minimum 100 80 60 Ox p-ºx Xo-d Xo Xo+d 40 20 -20 -6 -4 -2 6.
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