Approximating sparse Hessian matrices using large-scale linear least squares

Computational methods for sparse matrices (65F50) Numerical mathematical programming methods (65K05) Direct numerical methods for linear systems and matrix inversion (65F05)

Cites Work

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On a successive transformation of probability distribution and its application to the analysis of the optimum gradient method
Solution of sparse linear least squares problems using Givens rotations
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Some Numerical Results Using a Sparse Matrix Updating Formula in Unconstrained Optimization
Solving Mixed Sparse-Dense Linear Least-Squares Problems by Preconditioned Iterative Methods
An Optimal Positive Definite Update for Sparse Hessian Matrices
Saddle-Point Problems and Their Iterative Solution
Strengths and Limitations of Stretching for Least-squares Problems with Some Dense Rows
A Computational Study of Using Black-box QR Solvers for Large-scale Sparse-dense Linear Least Squares Problems
A Robust Algebraic Domain Decomposition Preconditioner for Sparse Normal Equations
Design of a Multicore Sparse Cholesky Factorization Using DAGs
Sparse Stretching for Solving Sparse-Dense Linear Least-Squares Problems
Preconditioning
On Using Cholesky-Based Factorizations and Regularization for Solving Rank-Deficient Sparse Linear Least-Squares Problems
GALAHAD, a library of thread-safe Fortran 90 packages for large-scale nonlinear optimization
MA57---a code for the solution of sparse symmetric definite and indefinite systems

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