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Ron
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Hi everyone,

I'm trying to solve/define the following optimization problem: $\max_M f(M)$ s.t. $M \theta = b$ $\sum_j \theta_j = 1$

When: M is an nmmn real matrix $\theta$ and $b$ are n1 column vectors. f returns a real scalar.

I cannot seem to recall, find a reference, or even define the name of this problem.

What are standard regularity conditions imposed (in terms of $f()$ and $M$) for a solution to exist? What would be the relevant first and second order conditions?

Thanks!

Hi everyone,

I'm trying to solve/define the following optimization problem: $\max_M f(M)$ s.t. $M \theta = b$

When: M is an nm real matrix $\theta$ and $b$ are n1 column vectors. f returns a real scalar.

I cannot seem to recall, find a reference, or even define the name of this problem.

What are standard regularity conditions imposed (in terms of $f()$ and $M$) for a solution to exist? What would be the relevant first and second order conditions?

Thanks!

Hi everyone,

I'm trying to solve/define the following optimization problem: $\max_M f(M)$ s.t. $M \theta = b$ $\sum_j \theta_j = 1$

When: M is an mn real matrix $\theta$ and $b$ are n1 column vectors. f returns a real scalar.

I cannot seem to recall, find a reference, or even define the name of this problem.

What are standard regularity conditions imposed (in terms of $f()$ and $M$) for a solution to exist? What would be the relevant first and second order conditions?

Thanks!

Source Link
Ron
  • 101
  • 1

Matrix Maximization.

Hi everyone,

I'm trying to solve/define the following optimization problem: $\max_M f(M)$ s.t. $M \theta = b$

When: M is an nm real matrix $\theta$ and $b$ are n1 column vectors. f returns a real scalar.

I cannot seem to recall, find a reference, or even define the name of this problem.

What are standard regularity conditions imposed (in terms of $f()$ and $M$) for a solution to exist? What would be the relevant first and second order conditions?

Thanks!