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Publications by Maya Neytcheva
Comparison of Preconditioned Krylov Subspace Iteration Methods for PDE-constrained Optimization Problems
Numerical Algorithms
Applied Mathematics
Preconditioning Methods for Linear Systems With Saddle Point Matrices
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Related publications
Preconditioned Krylov Subspace Methods for Sampling Multivariate Gaussian Distributions
SIAM Journal of Scientific Computing
Computational Mathematics
Applied Mathematics
Krylov Subspace Iteration
Computing in Science and Engineering
Engineering
Computer Science
Preconditioned Global Krylov Subspace Methods for Solving Saddle Point Problems With Multiple Right-Hand Sides
Electronic Transactions on Numerical Analysis
Analysis
Adaptive Multilevel Inexact SQP Methods for PDE-Constrained Optimization
SIAM Journal on Optimization
Theoretical Computer Science
Software
Primal-Dual Interior-Point Methods for PDE-constrained Optimization
Mathematical Programming, Series B
Mathematics
Software
Optimal Solvers for PDE-Constrained Optimization
SIAM Journal of Scientific Computing
Computational Mathematics
Applied Mathematics
Implementation of Interior-Point Methods for LP Based on Krylov Subspace Iterative Solvers With Inner-Iteration Preconditioning
Computational Optimization and Applications
Control
Computational Mathematics
Applied Mathematics
Optimization
Comparison of Fixed Point Methods and Krylov Subspace Methods Solving Convection-Diffusion Equations
American Journal of Computational Mathematics
A Multigrid Method Enhanced by Krylov Subspace Iteration for Discrete Helmholtz Equations
SIAM Journal of Scientific Computing
Computational Mathematics
Applied Mathematics
