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)
#> [1] 4 3