Publications - Howle

See Google Scholar.

• Colton Mikes, David Huckleberry Gutman, Victoria E. Howle,
  Quantum Enhanced Generalized Pattern Search Optimization,
  Quantum Reports,6 (4), pp. 509-521, September 2024.


• Aman Rani, Pieter Ghysels, Victoria Howle, Katharine Long, and Michal Outrata,
  Efficient Solution for Fully Implicit Runge-Kutta Methods for Time-Dependent Hyperbolic PDEs,
  submitted to SIAM Journal on Scientific Computing, July 2024.


• Fahad Mostafa, Victoria Howle, and Minjun Chen,
  Machine Learning to Predict Drug-Induced Liver Injury and Its Validation on Failed Drug Candidates in Development,
  ( https://doi.org/10.3390/toxics12060385 ),
  Toxics, 12 (6), p. 385, 2024.


• Caroline Black, Hafij al Mahmud, Victoria Howle, Sabrina Wilson, Allie Smith, Catherine Wakeman,
  Development of a Polymicrobial Checkerboard Assay as a Tool for Determining Combinatorial Antibiotic Effectiveness in Polymicrobial Communities,
  Antibiotics, 12 (7), p. 1207, 2023.


• Michael R. Clines, Victoria E. Howle, Katharine R. Long,
  Efficient Order-Optimal Preconditioners for Implicit Runge-Kutta and Runge-Kutta-Nystrom Methods Applicable to a Large Class of Parabolic and Hyperbolic PDEs,
  (arXiv:2206.08991,) June 2022.


• Victoria E. Howle and Heather A. Lewis,
  Telling Our Stories: The Essay Contest
  Chapter in the book Fifty Years of Women in Mathematics: Reminiscences, History, and Visions for the Future of AWM,
  Janet L. Beery, Sarah J. Greenwald, and Cathy Kessel, Eds., Springer, 2022.


• Md. Masud Rana, Victoria E. Howle, Katharine Long, Ashley Meek, and William Milestone,
  A New Block Preconditioner For Implicit Runge-Kutta Methods For Parabolic PDE,
  SIAM Journal on Scientific Computing, Volume 43, Issue 5, 2021.


• G. Bornia, G. Dillon, V. Howle, and G. Ke,
  Field-of-Values analysis of preconditioned linearized Rayleigh-Benard convection problems,
  Journal of Computational and Applied Mathematics, Volume 369, May 1, 2020 (published online November 2019).


• Guoyi Ke, Eugenio Aulisa, Geoffrey Dillon, Victoria Howle,
  Augmented Lagrangian-based Preconditioners for Steady Buoyancy Driven Flow,
  Applied Mathematics Letters, Volume 82, 2018.


• Guoyi Ke, Eugenio Aulisa, Giorgio Bornia, and Victoria Howle,
  Block triangular preconditioners for linearization schemes of the Rayleigh-Bénard convection problem,
  Numerical Linear Algebra with Applications,
  Volume 24, Issue 5, e2096, 2017.


• Mark Lira, Ram Iyer, A. Alexandre Trindade, and Victoria Howle,
  QR Versus Cholesky: A Probabilistic Analysis,
  International Journal of Numerical Analysis and Modeling,
  Volume 13, No. 1, pp. 114-121, 2016


• V.E. Howle, R.C. Kirby, and G. Dillon,
  Block Preconditioners for Coupled Physics Problems,
  SIAM Journal on Scientific Computing, Volume 35, Number 5, pp. S368-S385, 2013.


• V.E. Howle, R.C. Kirby, K. Long, B. Brennan, and K. Kennedy,
  Playa: High-performance programmable linear algebra,
  Scientific Programming, Volume 20, Number 3, pp. 257-273, 2012.


• V.E. Howle and R.C. Kirby,
  Block Preconditioners for Finite Element Discretization of Incompressible Flow with Thermal Convection,
  Numerical Linear Algebra with Applications, Vol. 19, Issue 2, pp. 427--440, 2012.


• S.M. Shontz, V.E. Howle, P.D. Hough,
  Experience with Approximations in the Trust-Region Parallel Direct Search Algorithm,
  In Proceedings of the International Conference on Computational Science (ICCS), Baton Rouge, LA, 2009.
• H. Elman, V. Howle, J. Shadid, R. Shuttleworth, and R. Tuminaro,
  A Taxonomy and Comparison of Parallel Block Multi-level Preconditioners for the Incompressible Navier-Stokes Equations,
  Journal of Computational Physics, Vol. 227, Issue 3, pp. 1790-1808, 2008.
  Also available as Sandia Technical Report, SAND2007-2761, Sandia National Laboratories, Livermore, CA.
  
• H. Elman, V. Howle, J. Shadid, D. Silvester, and R. Tuminaro,
  Least Squares Preconditioners for Stabilized Discretizations of the Navier-Stokes Equations,
  SIAM Journal on Scientific Computing, Vol. 30, Issue 1, pp. 290-311, 2007.
• H. Elman, V. Howle, J. Shadid, R. Shuttleworth, and R. Tuminaro,
  Block Preconditioners Based on Approximate Commutators
  SIAM Journal on Scientific Computing, Vol. 27, No. 5, pp. 1651-1668, 2006.
• V. Howle, J. Schroder, R. Tuminaro,
  The Effect of Boundary Conditions within Pressure Convection--Diffusion Preconditioners
  Sandia Technical Report, SAND2006-4466, Sandia National Laboratories, Livermore, CA, 2006.
• P. Hough and V. Howle,
  Fault Tolerance in Large-Scale Scientific Computing
  Invited chapter in book Parallel Processing for Scientific Computing, M. A. Heroux, P. Raghavan, and H. D. Simon, Eds., SIAM Press, 2006.
• M. Heroux, R. Bartlett, V. Howle, R. Hoekstra, J. Hu, T. Kolda, R. Lehoucq, K. Long, R. Pawlowski, E. Phipps, A. Salinger, H. Thornquist, R. Tuminaro, J. Willenbring, A. Williams, and K. Stanley,
  An Overview of the Trilinos Project
  ACM Transactions on Mathematical Software, Vol. 31, No. 3, September 2005.
• V. Howle and S. Vavasis,
  An Iterative Method for Solving Complex-Symmetric Systems Arising in Electrical Power Networks
  SIAM Journal on Matrix Analysis and Applications, Vol. 26, No. 4, pp. 1150-1178, 2005.
• M. Heroux, R. Bartlett, V. Howle, R. Hoekstra, J. Hu, T. Kolda, R. Lehoucq, K. Long, R. Pawlowski, E. Phipps, A. Salinger, H. Thornquist, R. Tuminaro, J. Willenbring and A. Williams,
  An Overview of Trilinos
  Sandia Technical Report SAND2003-2927, Sandia National Laboratories, Albuquerque, NM, August 2003.
• S. Thomas, P. Boggs, and V. Howle,
  A Survey of National Transmission Grid Modeling Capabilities at DOE Laboratories
  Sandia Technical Report, SAND2003-8433P, July 2003.
• H. Elman, V. Howle, J. Shadid, and R. Tuminaro,
  A Parallel Block Multi-level Preconditioner for the 3D Incompressible Navier-Stokes Equations
  Journal of Computational Physics, Vol. 187, pp. 504-523, May 2003.
• V. Howle and L. N. Trefethen,
  Eigenvalues and Musical Instruments
  J. Comp. Appl. Math, Vol. 135, No. 1, pp. 23-40, October 1, 2001.
• V. Howle,
  Efficient Iterative Methods for Ill-Conditioned Linear and Nonlinear Network Problems
  Ph.D. Dissertation, Center for Applied Mathematics, Cornell University, January 2001.
• V. Howle, S. Shontz, and P. Hough,
  Some Parallel Extensions to Optimization Methods in OPT++
  Sandia Technical Report, SAND2000-8877, October 2000.

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Last updated: February 2025
Copyright © 2008 - 2025 Victoria Howle and Department of Mathematics & Statistics, Texas Tech University All rights reserved.
Comments: Victoria E. Howle (victoria.howle@ttu.edu)