how to linearize or convexify the term $ye^{-1/x}$ if $0<1/xll1$ [on hold]
how to linearize or convexify the term $ye^{-1/x}$ if $0<1/xll1$
if $0<1/xll1$;
then $e^{-1/x}=1-1/x$;
then $ye^{-1/x}=y(1-1/x)$;
the obtained term y(1-1/x) still nonlinear and nonconvex
convex-optimization linearization
New contributor
put on hold as unclear what you're asking by Did, mrtaurho, José Carlos Santos, amWhy, Andrei 5 hours ago
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
add a comment |
how to linearize or convexify the term $ye^{-1/x}$ if $0<1/xll1$
if $0<1/xll1$;
then $e^{-1/x}=1-1/x$;
then $ye^{-1/x}=y(1-1/x)$;
the obtained term y(1-1/x) still nonlinear and nonconvex
convex-optimization linearization
New contributor
put on hold as unclear what you're asking by Did, mrtaurho, José Carlos Santos, amWhy, Andrei 5 hours ago
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
Welcome to MSE. Your question is phrased as an isolated problem, without any further information or context. This does not match many users' quality standards, so it may attract downvotes, or be put on hold. To prevent that, please edit the question. This will help you recognise and resolve the issues. Concretely: please provide context, and include your work and thoughts on the problem. These changes can help in formulating more appropriate answers.
– José Carlos Santos
14 hours ago
Okay, so I see that you made the following logic $$ frac{1}{x} approx 0 Rightarrow exp{left(-frac{1}{x}right)} approx 1-frac{1}{x} $$ So far, it seems fine. Then you just multiply it with $y$. What's the next thing that's causing trouble to you?
– Matti P.
14 hours ago
Thanks for modifying it. Actually, in the next step, I want to linearize or convexify the obtained term y*(1-1/x) to be used in a MILP model.
– Da Xu
14 hours ago
There's no way to linearize or convexify this. At best, substituting $z=e^{-1/x}$ gives you a bilinear term $yz$. There's just nothing to be done about that. Approximation is your only recourse, and even then there's no universal approach, it will depend on the context of your entire model.
– Michael Grant
10 hours ago
add a comment |
how to linearize or convexify the term $ye^{-1/x}$ if $0<1/xll1$
if $0<1/xll1$;
then $e^{-1/x}=1-1/x$;
then $ye^{-1/x}=y(1-1/x)$;
the obtained term y(1-1/x) still nonlinear and nonconvex
convex-optimization linearization
New contributor
how to linearize or convexify the term $ye^{-1/x}$ if $0<1/xll1$
if $0<1/xll1$;
then $e^{-1/x}=1-1/x$;
then $ye^{-1/x}=y(1-1/x)$;
the obtained term y(1-1/x) still nonlinear and nonconvex
convex-optimization linearization
convex-optimization linearization
New contributor
New contributor
edited 14 hours ago
Did
246k23221455
246k23221455
New contributor
asked 15 hours ago
Da Xu
12
12
New contributor
New contributor
put on hold as unclear what you're asking by Did, mrtaurho, José Carlos Santos, amWhy, Andrei 5 hours ago
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
put on hold as unclear what you're asking by Did, mrtaurho, José Carlos Santos, amWhy, Andrei 5 hours ago
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
Welcome to MSE. Your question is phrased as an isolated problem, without any further information or context. This does not match many users' quality standards, so it may attract downvotes, or be put on hold. To prevent that, please edit the question. This will help you recognise and resolve the issues. Concretely: please provide context, and include your work and thoughts on the problem. These changes can help in formulating more appropriate answers.
– José Carlos Santos
14 hours ago
Okay, so I see that you made the following logic $$ frac{1}{x} approx 0 Rightarrow exp{left(-frac{1}{x}right)} approx 1-frac{1}{x} $$ So far, it seems fine. Then you just multiply it with $y$. What's the next thing that's causing trouble to you?
– Matti P.
14 hours ago
Thanks for modifying it. Actually, in the next step, I want to linearize or convexify the obtained term y*(1-1/x) to be used in a MILP model.
– Da Xu
14 hours ago
There's no way to linearize or convexify this. At best, substituting $z=e^{-1/x}$ gives you a bilinear term $yz$. There's just nothing to be done about that. Approximation is your only recourse, and even then there's no universal approach, it will depend on the context of your entire model.
– Michael Grant
10 hours ago
add a comment |
Welcome to MSE. Your question is phrased as an isolated problem, without any further information or context. This does not match many users' quality standards, so it may attract downvotes, or be put on hold. To prevent that, please edit the question. This will help you recognise and resolve the issues. Concretely: please provide context, and include your work and thoughts on the problem. These changes can help in formulating more appropriate answers.
– José Carlos Santos
14 hours ago
Okay, so I see that you made the following logic $$ frac{1}{x} approx 0 Rightarrow exp{left(-frac{1}{x}right)} approx 1-frac{1}{x} $$ So far, it seems fine. Then you just multiply it with $y$. What's the next thing that's causing trouble to you?
– Matti P.
14 hours ago
Thanks for modifying it. Actually, in the next step, I want to linearize or convexify the obtained term y*(1-1/x) to be used in a MILP model.
– Da Xu
14 hours ago
There's no way to linearize or convexify this. At best, substituting $z=e^{-1/x}$ gives you a bilinear term $yz$. There's just nothing to be done about that. Approximation is your only recourse, and even then there's no universal approach, it will depend on the context of your entire model.
– Michael Grant
10 hours ago
Welcome to MSE. Your question is phrased as an isolated problem, without any further information or context. This does not match many users' quality standards, so it may attract downvotes, or be put on hold. To prevent that, please edit the question. This will help you recognise and resolve the issues. Concretely: please provide context, and include your work and thoughts on the problem. These changes can help in formulating more appropriate answers.
– José Carlos Santos
14 hours ago
Welcome to MSE. Your question is phrased as an isolated problem, without any further information or context. This does not match many users' quality standards, so it may attract downvotes, or be put on hold. To prevent that, please edit the question. This will help you recognise and resolve the issues. Concretely: please provide context, and include your work and thoughts on the problem. These changes can help in formulating more appropriate answers.
– José Carlos Santos
14 hours ago
Okay, so I see that you made the following logic $$ frac{1}{x} approx 0 Rightarrow exp{left(-frac{1}{x}right)} approx 1-frac{1}{x} $$ So far, it seems fine. Then you just multiply it with $y$. What's the next thing that's causing trouble to you?
– Matti P.
14 hours ago
Okay, so I see that you made the following logic $$ frac{1}{x} approx 0 Rightarrow exp{left(-frac{1}{x}right)} approx 1-frac{1}{x} $$ So far, it seems fine. Then you just multiply it with $y$. What's the next thing that's causing trouble to you?
– Matti P.
14 hours ago
Thanks for modifying it. Actually, in the next step, I want to linearize or convexify the obtained term y*(1-1/x) to be used in a MILP model.
– Da Xu
14 hours ago
Thanks for modifying it. Actually, in the next step, I want to linearize or convexify the obtained term y*(1-1/x) to be used in a MILP model.
– Da Xu
14 hours ago
There's no way to linearize or convexify this. At best, substituting $z=e^{-1/x}$ gives you a bilinear term $yz$. There's just nothing to be done about that. Approximation is your only recourse, and even then there's no universal approach, it will depend on the context of your entire model.
– Michael Grant
10 hours ago
There's no way to linearize or convexify this. At best, substituting $z=e^{-1/x}$ gives you a bilinear term $yz$. There's just nothing to be done about that. Approximation is your only recourse, and even then there's no universal approach, it will depend on the context of your entire model.
– Michael Grant
10 hours ago
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Welcome to MSE. Your question is phrased as an isolated problem, without any further information or context. This does not match many users' quality standards, so it may attract downvotes, or be put on hold. To prevent that, please edit the question. This will help you recognise and resolve the issues. Concretely: please provide context, and include your work and thoughts on the problem. These changes can help in formulating more appropriate answers.
– José Carlos Santos
14 hours ago
Okay, so I see that you made the following logic $$ frac{1}{x} approx 0 Rightarrow exp{left(-frac{1}{x}right)} approx 1-frac{1}{x} $$ So far, it seems fine. Then you just multiply it with $y$. What's the next thing that's causing trouble to you?
– Matti P.
14 hours ago
Thanks for modifying it. Actually, in the next step, I want to linearize or convexify the obtained term y*(1-1/x) to be used in a MILP model.
– Da Xu
14 hours ago
There's no way to linearize or convexify this. At best, substituting $z=e^{-1/x}$ gives you a bilinear term $yz$. There's just nothing to be done about that. Approximation is your only recourse, and even then there's no universal approach, it will depend on the context of your entire model.
– Michael Grant
10 hours ago