rayleigh_ritz: Rayleigh-Ritz projection in a trial basis.
In eigencore: Certified Partial Eigenvalue and Singular Value Computation
View source: R/orthogonalization.R
rayleigh_ritz R Documentation
Rayleigh-Ritz projection in a trial basis.
Description
Rayleigh-Ritz projection in a trial basis.
Usage
rayleigh_ritz(A, Q, B = NULL, target = largest(), symmetric = TRUE)
Arguments
A
Dense matrix defining the projected eigenproblem.
Q
Trial-basis matrix with basis vectors in columns.
B
Optional symmetric positive-definite metric matrix.
target
Eigencore target descriptor.
symmetric
Whether the projected problem should be treated as
symmetric/Hermitian.
eigencore documentation built on July 26, 2026, 1:06 a.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.
View source: R/orthogonalization.R
| rayleigh_ritz | R Documentation |
Rayleigh-Ritz projection in a trial basis.
Description
Rayleigh-Ritz projection in a trial basis.
Usage
rayleigh_ritz(A, Q, B = NULL, target = largest(), symmetric = TRUE)
Arguments
A |
Dense matrix defining the projected eigenproblem. |
Q |
Trial-basis matrix with basis vectors in columns. |
B |
Optional symmetric positive-definite metric matrix. |
target |
Eigencore target descriptor. |
symmetric |
Whether the projected problem should be treated as symmetric/Hermitian. |
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.