Norm of $|(x-x^*,y-y^*,z-z^*) |leq |nabla J(x,y,z)|$$f(y) leq f(x)+nabla f(x)cdot (y-x) $ and $f(x)geq 0$ implies that $f$ is constant.minimizing a norm and a linear functionhessian matrix not positive definite at a minimum?Testing critical points using newton-raphson methodHessian-Matrix positive definite $iff$ $a$ local minimum?Is it possible to argue that $nabla F(x^*)neq textbf0$?Prove that if $nabla f(x_0) = 0$ and $nabla^2f(x_0) succeq0$ then $x_0$ couldn't be local minimum.Showing that for real $0<x_i, 0<q$ with $x_1…x_n=q^n$ it holds that $(1+x_1)…(1+x_n)geq(1+q)^n$Every local minimum of $f(x) = frac12x^tAx + b^tx +c$ is also a global minimumMinimize quadratic function with gradient descent method
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Norm of $|(x-x^*,y-y^*,z-z^*) |leq |nabla J(x,y,z)|$
$f(y) leq f(x)+nabla f(x)cdot (y-x) $ and $f(x)geq 0$ implies that $f$ is constant.minimizing a norm and a linear functionhessian matrix not positive definite at a minimum?Testing critical points using newton-raphson methodHessian-Matrix positive definite $iff$ $a$ local minimum?Is it possible to argue that $nabla F(x^*)neq textbf0$?Prove that if $nabla f(x_0) = 0$ and $nabla^2f(x_0) succeq0$ then $x_0$ couldn't be local minimum.Showing that for real $0<x_i, 0<q$ with $x_1…x_n=q^n$ it holds that $(1+x_1)…(1+x_n)geq(1+q)^n$Every local minimum of $f(x) = frac12x^tAx + b^tx +c$ is also a global minimumMinimize quadratic function with gradient descent method
$begingroup$
I want to prove that
$$|(x-x^*,y-y^*,z-z^*)|leq |nabla J(x,y,z)|,$$
where $J(x,y,z)=exp(fracx+y+z2016)+fracx^2+2y^2+3z^22$ and $(x^*,y^*,z^*)$ is the minimum of $J$.
Also, I have $$|(x-x^*,y-y^*,z-z^*) |^2leq U^t H U$$ with $H$ the Hessian matrix of $J$ and $$U=(x-x^*,y-y^*,z-z^*).$$
Could you give me some clue to complete the proof?
Thanks!
optimization
$endgroup$
add a comment |
$begingroup$
I want to prove that
$$|(x-x^*,y-y^*,z-z^*)|leq |nabla J(x,y,z)|,$$
where $J(x,y,z)=exp(fracx+y+z2016)+fracx^2+2y^2+3z^22$ and $(x^*,y^*,z^*)$ is the minimum of $J$.
Also, I have $$|(x-x^*,y-y^*,z-z^*) |^2leq U^t H U$$ with $H$ the Hessian matrix of $J$ and $$U=(x-x^*,y-y^*,z-z^*).$$
Could you give me some clue to complete the proof?
Thanks!
optimization
$endgroup$
add a comment |
$begingroup$
I want to prove that
$$|(x-x^*,y-y^*,z-z^*)|leq |nabla J(x,y,z)|,$$
where $J(x,y,z)=exp(fracx+y+z2016)+fracx^2+2y^2+3z^22$ and $(x^*,y^*,z^*)$ is the minimum of $J$.
Also, I have $$|(x-x^*,y-y^*,z-z^*) |^2leq U^t H U$$ with $H$ the Hessian matrix of $J$ and $$U=(x-x^*,y-y^*,z-z^*).$$
Could you give me some clue to complete the proof?
Thanks!
optimization
$endgroup$
I want to prove that
$$|(x-x^*,y-y^*,z-z^*)|leq |nabla J(x,y,z)|,$$
where $J(x,y,z)=exp(fracx+y+z2016)+fracx^2+2y^2+3z^22$ and $(x^*,y^*,z^*)$ is the minimum of $J$.
Also, I have $$|(x-x^*,y-y^*,z-z^*) |^2leq U^t H U$$ with $H$ the Hessian matrix of $J$ and $$U=(x-x^*,y-y^*,z-z^*).$$
Could you give me some clue to complete the proof?
Thanks!
optimization
optimization
edited Mar 21 at 19:45
Bernard
124k741116
124k741116
asked Mar 21 at 19:30
Alex PozoAlex Pozo
519214
519214
add a comment |
add a comment |
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