lambda_sum_smallest: Sum of Smallest Eigenvalues
In CVXR: Disciplined Convex Optimization
lambda_sum_smallest R Documentation
Sum of Smallest Eigenvalues
Description
The sum of the smallest k eigenvalues of a matrix.
Usage
lambda_sum_smallest(A, k)
Arguments
A
An Expression or matrix.
k
The number of eigenvalues to sum over.
Value
An Expression representing the sum of the smallest k eigenvalues of the input.
Examples
C <- Variable(3,3)
val <- cbind(c(1,2,3), c(2,4,5), c(3,5,6))
prob <- Problem(Maximize(lambda_sum_smallest(C,2)), list(C == val))
result <- solve(prob)
result$value
result$getValue(C)
CVXR documentation built on Oct. 31, 2022, 1:07 a.m.
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| lambda_sum_smallest | R Documentation |
Sum of Smallest Eigenvalues
Description
The sum of the smallest k eigenvalues of a matrix.
Usage
lambda_sum_smallest(A, k)
Arguments
A |
An Expression or matrix. |
k |
The number of eigenvalues to sum over. |
Value
An Expression representing the sum of the smallest k eigenvalues of the input.
Examples
C <- Variable(3,3) val <- cbind(c(1,2,3), c(2,4,5), c(3,5,6)) prob <- Problem(Maximize(lambda_sum_smallest(C,2)), list(C == val)) result <- solve(prob) result$value result$getValue(C)
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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