Partitioned quasi-Newton methods for sparse nonlinear equations
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Publication:523572
DOI10.1007/s10589-016-9878-1zbMath1370.90144OpenAlexW2523920835MaRDI QIDQ523572
Publication date: 21 April 2017
Published in: Computational Optimization and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10589-016-9878-1
global convergencesuperlinear convergencepartially separable nonlinear equationpartitioned adjoint Broyden methodpartitioned Broyden's rank one method
Numerical mathematical programming methods (65K05) Large-scale problems in mathematical programming (90C06) Methods of quasi-Newton type (90C53)
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- Superlinearly convergent exact penalty methods with projected structured secant updates for constrained nonlinear least squares
- Analysis of sparse quasi-Newton updates with positive definite matrix completion
- Recent advances in numerical methods for nonlinear equations and nonlinear least squares
- Convergence analysis of sparse quasi-Newton updates with positive definite matrix completion for two-dimensional functions
- On the local convergence of adjoint Broyden methods
- On the limited memory BFGS method for large scale optimization
- Sparse quasi-Newton updates with positive definite matrix completion
- Global convergence of quasi-Newton methods based on adjoint Broyden updates
- Convergence theory for the structured BFGS secant method with an application to nonlinear least squares
- Partitioned variable metric updates for large structured optimization problems
- The global convergence of partitioned BFGS on problems with convex decompositions and Lipschitzian gradients
- Quadratic and superlinear convergence of the Huschens method for nonlinear least squares problems
- Local convergence analysis for partitioned quasi-Newton updates
- Recent progress in the global convergence of quasi-Newton methods for nonlinear equations
- Operations research and optimization (ORO)
- Global convergence of the partitioned BFGS algorithm for convex partially separable optimization
- The “global” convergence of Broyden-like methods with suitable line search
- Hybrid Methods for Nonlinear Least Squares
- Convergence Results for Schubert’s Method for Solving Sparse Nonlinear Equations
- On Sparse and Symmetric Matrix Updating Subject to a Linear Equation
- On the Convergence of a Quasi-Newton Method for Sparse Nonlinear Systems
- On constrained optimization by adjoint based quasi-Newton methods
- A derivative-free line search and global convergence of Broyden-like method for nonlinear equations
- A Globally and Superlinearly Convergent Gauss--Newton-Based BFGS Method for Symmetric Nonlinear Equations
- A New Sparsity Preserving Quasi-Newton Update for Solving Nonlinear Equations
- Numerical Solution of Large Sets of Algebraic Nonlinear Equations
- An Optimal Positive Definite Update for Sparse Hessian Matrices
- On the Local and Superlinear Convergence of Quasi-Newton Methods
- A Class of Methods for Solving Nonlinear Simultaneous Equations
- A LIMITED MEMORY BROYDEN METHOD TO SOLVE HIGH-DIMENSIONAL SYSTEMS OF NONLINEAR EQUATIONS
- Spectral residual method without gradient information for solving large-scale nonlinear systems of equations
- Modification of a Quasi-Newton Method for Nonlinear Equations with a Sparse Jacobian
- The Convergence of an Algorithm for Solving Sparse Nonlinear Systems
- Benchmarking optimization software with performance profiles.
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