eye_minus_inv: Unity Resolvent
In CVXR: Disciplined Convex Optimization
eye_minus_inv R Documentation
Unity Resolvent
Description
The unity resolvent of a positive matrix. For an elementwise positive matrix X, this atom represents (I - X)^{-1},
and it enforces the constraint that the spectral radius of X is at most 1.
Usage
eye_minus_inv(X)
Arguments
X
An Expression or positive square matrix.
Details
This atom is log-log convex.
Value
An Expression representing the unity resolvent of the input.
Examples
A <- Variable(2,2, pos = TRUE)
prob <- Problem(Minimize(matrix_trace(A)), list(eye_minus_inv(A) <=1))
result <- solve(prob, gp = TRUE)
result$value
result$getValue(A)
CVXR documentation built on June 27, 2024, 5:11 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| eye_minus_inv | R Documentation |
Unity Resolvent
Description
The unity resolvent of a positive matrix. For an elementwise positive matrix X, this atom represents (I - X)^{-1},
and it enforces the constraint that the spectral radius of X is at most 1.
Usage
eye_minus_inv(X)
Arguments
X |
An Expression or positive square matrix. |
Details
This atom is log-log convex.
Value
An Expression representing the unity resolvent of the input.
Examples
A <- Variable(2,2, pos = TRUE)
prob <- Problem(Minimize(matrix_trace(A)), list(eye_minus_inv(A) <=1))
result <- solve(prob, gp = TRUE)
result$value
result$getValue(A)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.