Short-Term Recurrence Krylov Subspace Methods for Nearly Hermitian Matrices. - Mark Embree; Josef A. Sifuentes; Kirk M. Soodhalter; Daniel B. Szyld; Fei Xue (SIAM J. Matrix Anal. Appl., 2012)

Mathematics and implementation details of a block MINRES algorithm - Kirk M. Soodhalter (CoRR, 2013)

Krylov Subspace Recycling for Sequences of Shifted Linear Systems - Kirk M. Soodhalter; Daniel B. Szyld; Fei Xue (CoRR, 2013)

Two recursive GMRES-type methods for shifted linear systems with general preconditioning. - Kirk M. Soodhalter (CoRR, 2014)

Stagnation of block GMRES and its relationship to block FOM. - Kirk M. Soodhalter (CoRR, 2014)

Block Krylov subspace methods for shifted systems with different right-hand sides. - Kirk M. Soodhalter (CoRR, 2014)

A block MINRES algorithm based on the band Lanczos method. - Kirk M. Soodhalter (Numer. Algorithms, 2015)

A block Recycled GMRES method with investigations into aspects of solver performance. - Michael L. Parks; Kirk M. Soodhalter; Daniel B. Szyld (CoRR, 2016)

Block Krylov Subspace Recycling for Shifted Systems with Unrelated Right-Hand Sides. - Kirk M. Soodhalter (SIAM J. Sci. Comput., 2016)

A Modified Implementation of MINRES to Monitor Residual Subvector Norms for Block Systems. - Roland Herzog; Kirk M. Soodhalter (SIAM J. Sci. Comput., 2017)

A survey of subspace recycling iterative methods. - Kirk M. Soodhalter; Eric de Sturler; Misha E. Kilmer (CoRR, 2020)

Admissible and Attainable Convergence Behavior of Block Arnoldi and GMRES. - Marie Kubínová; Kirk M. Soodhalter (SIAM J. Matrix Anal. Appl., 2020)

Error Analysis and Improving the Accuracy of Winograd Convolution for Deep Neural Networks. - Barbara Barabasz; Andrew Anderson 001; Kirk M. Soodhalter; David Gregg (ACM Trans. Math. Softw., 2020)

A note on augmented unprojected Krylov subspace methods. - Kirk M. Soodhalter (CoRR, 2021)

Lanczos-based fast blind deconvolution methods. - Laura Dykes; Ronny Ramlau; Lothar Reichel; Kirk M. Soodhalter; Roland Wagner 001 (J. Comput. Appl. Math., 2021)

Subspace Recycling-Based Regularization Methods. - Ronny Ramlau; Kirk M. Soodhalter; Victoria Hutterer (SIAM J. Matrix Anal. Appl., 2021)

Augmented unprojected Krylov subspace methods from an alternative view of an existing framework. - Liam Burke 002; Kirk M. Soodhalter (CoRR, 2022)

Krylov Subspace Recycling For Matrix Functions. - Liam Burke 002; Andreas Frommer; Gustavo Ramirez-Hidalgo; Kirk M. Soodhalter (CoRR, 2022)

Sparse grid based Chebyshev HOPGD for parameterized linear systems. - Siobhán Correnty; Melina A. Freitag; Kirk M. Soodhalter (CoRR, 2023)

A Projected Nesterov-Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology. - Fabian Hinterer; Simon Hubmer; Prashin Jethwa; Kirk M. Soodhalter; Glenn van de Ven; Ronny Ramlau (SIAM J. Imaging Sci., 2023)

Preconditioned Infinite GMRES for Parameterized Linear Systems. - Siobhán Correnty; Elias Jarlebring; Kirk M. Soodhalter (SIAM J. Sci. Comput., 2024)

The Effect of Approximate Coarsest-Level Solves on the Convergence of Multigrid V-Cycle Methods. - Petr Vacek; Erin C. Carson; Kirk M. Soodhalter (SIAM J. Sci. Comput., 2024)

GMRES with Randomized Sketching and Deflated Restarting. - Liam Burke 002; Stefan Güttel; Kirk M. Soodhalter (SIAM J. Matrix Anal. Appl., 2025)

Fast Solution of Sylvester-Structured Systems for Spatial Source Separation of the Cosmic Microwave Background. - Dung Pham; Kirk M. Soodhalter; Simon Wilson (Numer. Linear Algebra Appl., 2025)

Hybrid CG-Tikhonov as a filtration of the CG Lanczos vectors. - Daniel Gerth; Kirk M. Soodhalter (CoRR, 2025)