Object

toolkit.solvers

LSQRSolver

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object LSQRSolver

A solver for inverting linear problems of the form A.x = b using the LSQR method outlined in:

C. C. Paige and M. A. Saunders, Algorithm 583; LSQR: Sparse linear equations and least-squares problems, TOMS 8(2), 195-209 (1982).

LSQR uses a functional representation of applying the A matrix, op(), in order to optimally perform sparse operations. The algorithm also requires explicit definition of the operator that is adjoint to op(), adj(). operator/adjoint pairs can be debugged with an AdjointTester

b and x0 can be Fields or FieldArrays of any type structure, under the following conditions: 1) op(x0) returns a type structure equivalent to b 2) adj(b) returns a type structure equivalent to x0

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  4. def apply(b: FieldArray, op: (FieldArray) ⇒ FieldArray, adj: (FieldArray) ⇒ FieldArray, x0: FieldArray, iterations: Int): FieldArray

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    Apply a set of LSQR iterations

    Apply a set of LSQR iterations

    b

    the result of the linear operation to be inverted

    op

    the linear operator A in A.x=b

    adj

    the operator that is adjoint to A

    x0

    the initial guess of the solution

    iterations

    number of iterations to perform

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