Metadata-Version: 2.1
Name: qdldl
Version: 0.1.5.post3
Summary: QDLDL, a free LDL factorization routine.
Home-page: https://github.com/oxfordcontrol/qdldl-python/
Author: Bartolomeo Stellato, Paul Goulart, Goran Banjac
Author-email: bartolomeo.stellato@gmail.com
License: Apache 2.0
Description: # qdldl-python
        
        ![github actions](https://github.com/oxfordcontrol/qdldl-python/workflows/Build/badge.svg?branch=master)
        
        Python interface to the [QDLDL](https://github.com/oxfordcontrol/qdldl/)
        free LDL factorization routine for quasi-definite linear systems: `Ax =
        b`.
        
        ## Installation
        
        This package can be directly installed via pip,
        
        ```
        pip install qdldl
        ```
        
        ## Usage
        
        Initialize the factorization with
        
        ```
        import qdldl
        F = qdldl.Solver(A)
        ```
        
        where `A` must be a square quasi-definite matrix in [scipy sparse CSC
        format](https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.csc_matrix.html).
        
        The algorithm internally converts the matrix into upper triangular format. If `A` is already upper-triangular, you can specify it with the argument `upper=True` to the `qdldl.Solver` constructor.
        
        To solve the linear system for a right-hand side `b`, just write
        
        ```
        x = F.solve(b)
        ```
        
        To update the factorization without changing the sparsity pattern of `A` you can run
        
        ```
        F.update(A_new)
        ```
        
        where `A_new` is a sparse matrix in CSR format with the same sparsity pattern as `A`.
        
        The algorithm internally converts `A_new` into upper triangular format. If `A_new` is already upper-triangular, you can specify it with the argument `upper=True` to the `F.update` function.
        
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
