文件名称:steepest_method_with_const_step
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NUMERICAL OPTIMIZATION:
This steepest descent method with constant step length to find the minima of
f(x, y) = xy exp(− 2x^2 − y^2 + 0.3y)
Graphical represxentation in 5 ways of solution, simple and clear explained.-NUMERICAL OPTIMIZATION:
This is steepest descent method with constant step length to find the minima of
f(x, y) = xy exp(− 2x^2 − y^2+ 0.3y)
Graphical represxentation in 5 ways of solution, simple and clear explained.
This steepest descent method with constant step length to find the minima of
f(x, y) = xy exp(− 2x^2 − y^2 + 0.3y)
Graphical represxentation in 5 ways of solution, simple and clear explained.-NUMERICAL OPTIMIZATION:
This is steepest descent method with constant step length to find the minima of
f(x, y) = xy exp(− 2x^2 − y^2+ 0.3y)
Graphical represxentation in 5 ways of solution, simple and clear explained.
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下载文件列表
steepest_method with_const_step/steepest_method with_const_step.m
steepest_method with_const_step
steepest_method with_const_step
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