validate_svd_accuracy: Validate eigencore SVD results against base::svd().
In eigencore: Certified Partial Eigenvalue and Singular Value Computation
validate_svd_accuracy R Documentation
Validate eigencore SVD results against base::svd().
Description
Validate eigencore SVD results against base::svd().
Usage
validate_svd_accuracy(A, rank, target = largest(), fit = NULL, tol = 1e-08)
Arguments
A
Matrix or eigencore operator to validate.
rank
Number of singular values to validate.
target
Eigencore singular-value target descriptor.
fit
Optional precomputed eigencore SVD result.
tol
Validation tolerance.
eigencore documentation built on July 26, 2026, 1:06 a.m.
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| validate_svd_accuracy | R Documentation |
Validate eigencore SVD results against base::svd().
Description
Validate eigencore SVD results against base::svd().
Usage
validate_svd_accuracy(A, rank, target = largest(), fit = NULL, tol = 1e-08)
Arguments
A |
Matrix or eigencore operator to validate. |
rank |
Number of singular values to validate. |
target |
Eigencore singular-value target descriptor. |
fit |
Optional precomputed eigencore SVD result. |
tol |
Validation tolerance. |
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.
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