Energy functions and convex combinations
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There are situations (in optimization problems) where problems are formulated as
$$
f(E_1,E_2 ; lambda) = E_1 + lambda E_2
$$
where $E_1,E_2$ are some energy functions, and $lambda$ is a real value that "weights" the contributions of such energies. I wonder if there's any relationship with a formula of the form
$$
g(E_1,E_2;lambda) = (1-lambda)E_1+lambda E_2
$$
is there maybe some reparametrization that would allow to switch from one form to the other?
Thank you
calculus optimization soft-question
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up vote
0
down vote
favorite
There are situations (in optimization problems) where problems are formulated as
$$
f(E_1,E_2 ; lambda) = E_1 + lambda E_2
$$
where $E_1,E_2$ are some energy functions, and $lambda$ is a real value that "weights" the contributions of such energies. I wonder if there's any relationship with a formula of the form
$$
g(E_1,E_2;lambda) = (1-lambda)E_1+lambda E_2
$$
is there maybe some reparametrization that would allow to switch from one form to the other?
Thank you
calculus optimization soft-question
add a comment |Â
up vote
0
down vote
favorite
up vote
0
down vote
favorite
There are situations (in optimization problems) where problems are formulated as
$$
f(E_1,E_2 ; lambda) = E_1 + lambda E_2
$$
where $E_1,E_2$ are some energy functions, and $lambda$ is a real value that "weights" the contributions of such energies. I wonder if there's any relationship with a formula of the form
$$
g(E_1,E_2;lambda) = (1-lambda)E_1+lambda E_2
$$
is there maybe some reparametrization that would allow to switch from one form to the other?
Thank you
calculus optimization soft-question
There are situations (in optimization problems) where problems are formulated as
$$
f(E_1,E_2 ; lambda) = E_1 + lambda E_2
$$
where $E_1,E_2$ are some energy functions, and $lambda$ is a real value that "weights" the contributions of such energies. I wonder if there's any relationship with a formula of the form
$$
g(E_1,E_2;lambda) = (1-lambda)E_1+lambda E_2
$$
is there maybe some reparametrization that would allow to switch from one form to the other?
Thank you
calculus optimization soft-question
asked Jul 20 at 17:59
user8469759
1,4291513
1,4291513
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1 Answer
1
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In general, the optimal solution (but not the objective value) of $min_x f(x)$ and $min_x cf(x)$ are the same for $c > 0$. Therefore,
$$f(E_1,E_2 ; lambda_f) = E_1 + lambda_f E_2$$
and
$$h(E_1,E_2 ; lambda_f) = frac11+lambda_f E_1 + fraclambda_f1+lambda_f E_2$$
have the same solution (take $c=1/(1+lambda_f)>0$). You can see $h$ as $g$ where the $lambda_g$ in $g$ equals $lambda_f / (1+lambda_f)$.
I don't get your notation, what's $lambda^f$?
â user8469759
Jul 20 at 22:46
@user8469759 it is the $lambda$ in your function $f$; I noticed it wasn't consistent, so I fixed that.
â LinAlg
Jul 20 at 23:40
add a comment |Â
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
accepted
In general, the optimal solution (but not the objective value) of $min_x f(x)$ and $min_x cf(x)$ are the same for $c > 0$. Therefore,
$$f(E_1,E_2 ; lambda_f) = E_1 + lambda_f E_2$$
and
$$h(E_1,E_2 ; lambda_f) = frac11+lambda_f E_1 + fraclambda_f1+lambda_f E_2$$
have the same solution (take $c=1/(1+lambda_f)>0$). You can see $h$ as $g$ where the $lambda_g$ in $g$ equals $lambda_f / (1+lambda_f)$.
I don't get your notation, what's $lambda^f$?
â user8469759
Jul 20 at 22:46
@user8469759 it is the $lambda$ in your function $f$; I noticed it wasn't consistent, so I fixed that.
â LinAlg
Jul 20 at 23:40
add a comment |Â
up vote
1
down vote
accepted
In general, the optimal solution (but not the objective value) of $min_x f(x)$ and $min_x cf(x)$ are the same for $c > 0$. Therefore,
$$f(E_1,E_2 ; lambda_f) = E_1 + lambda_f E_2$$
and
$$h(E_1,E_2 ; lambda_f) = frac11+lambda_f E_1 + fraclambda_f1+lambda_f E_2$$
have the same solution (take $c=1/(1+lambda_f)>0$). You can see $h$ as $g$ where the $lambda_g$ in $g$ equals $lambda_f / (1+lambda_f)$.
I don't get your notation, what's $lambda^f$?
â user8469759
Jul 20 at 22:46
@user8469759 it is the $lambda$ in your function $f$; I noticed it wasn't consistent, so I fixed that.
â LinAlg
Jul 20 at 23:40
add a comment |Â
up vote
1
down vote
accepted
up vote
1
down vote
accepted
In general, the optimal solution (but not the objective value) of $min_x f(x)$ and $min_x cf(x)$ are the same for $c > 0$. Therefore,
$$f(E_1,E_2 ; lambda_f) = E_1 + lambda_f E_2$$
and
$$h(E_1,E_2 ; lambda_f) = frac11+lambda_f E_1 + fraclambda_f1+lambda_f E_2$$
have the same solution (take $c=1/(1+lambda_f)>0$). You can see $h$ as $g$ where the $lambda_g$ in $g$ equals $lambda_f / (1+lambda_f)$.
In general, the optimal solution (but not the objective value) of $min_x f(x)$ and $min_x cf(x)$ are the same for $c > 0$. Therefore,
$$f(E_1,E_2 ; lambda_f) = E_1 + lambda_f E_2$$
and
$$h(E_1,E_2 ; lambda_f) = frac11+lambda_f E_1 + fraclambda_f1+lambda_f E_2$$
have the same solution (take $c=1/(1+lambda_f)>0$). You can see $h$ as $g$ where the $lambda_g$ in $g$ equals $lambda_f / (1+lambda_f)$.
edited Jul 20 at 23:41
answered Jul 20 at 18:21
LinAlg
5,4061319
5,4061319
I don't get your notation, what's $lambda^f$?
â user8469759
Jul 20 at 22:46
@user8469759 it is the $lambda$ in your function $f$; I noticed it wasn't consistent, so I fixed that.
â LinAlg
Jul 20 at 23:40
add a comment |Â
I don't get your notation, what's $lambda^f$?
â user8469759
Jul 20 at 22:46
@user8469759 it is the $lambda$ in your function $f$; I noticed it wasn't consistent, so I fixed that.
â LinAlg
Jul 20 at 23:40
I don't get your notation, what's $lambda^f$?
â user8469759
Jul 20 at 22:46
I don't get your notation, what's $lambda^f$?
â user8469759
Jul 20 at 22:46
@user8469759 it is the $lambda$ in your function $f$; I noticed it wasn't consistent, so I fixed that.
â LinAlg
Jul 20 at 23:40
@user8469759 it is the $lambda$ in your function $f$; I noticed it wasn't consistent, so I fixed that.
â LinAlg
Jul 20 at 23:40
add a comment |Â
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