eigen_problem: Define an eigenproblem.

In eigencore: Certified Partial Eigenvalue and Singular Value Computation

Define an eigenproblem.

Description

Define an eigenproblem.

Usage

eigen_problem(
  A,
  metric = NULL,
  structure = NULL,
  target = largest(),
  transform = NULL
)

Arguments

A	Matrix or operator defining the linear map.
metric	Optional metric operator for generalized eigenproblems.
structure	Optional structure descriptor; defaults to the operator structure.
target	Eigencore target descriptor.
transform	Optional transform method such as shift_invert().

Value

An eigencore_eigen_problem object containing the operator, optional metric, structure, target, and transform metadata consumed by plan_solver() and solve().

Examples

A <- diag(c(4, 3, 2, 1))
P <- eigen_problem(A, target = largest())
fit <- solve(P, k = 2)
values(fit)

eigencore documentation built on July 26, 2026, 1:06 a.m.