James Baglama
James Baglama
Department of Mathematics and Applied Mathematical Sciences
University of Rhode Island
Kingston, Rhode Island 02881
Office:
Lippitt Hall 202J
Phone:
401.874.4412
Fax:
401.874.4454
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Education
Dec. 1997 Ph.D. Applied Mathematics
Kent State University
Advisors:
Lothar Reichel
and
Arden Ruttan
Dec. 1991 M.S. Mathematics
Youngstown State University
Advisor: John J. Buoni
Aug. 1990 B.S. Mathematics
Youngstown State University
Advisor: J. Douglas Faires
Journal Papers (peer reviewed) and Software
James Baglama - Google Scholar
All computer codes are illustrations of methods developed in the papers listed below. They are not optimized for performance or set up for commercial use. Any use beyond illustrative or public use requires consent of the code author(s).
All pdf files of papers made available below may differ slightly from the final versions published in the corresponding journal.
J. Baglama, D. Calvetti and L. Reichel,
Iterative methods for the computation of a few eigenvalues of a large symmetric matrix.
BIT Numerical Mathematics, 36, (1996), pp.400-421.
pdf file
J. Baglama, D. Calvetti, L. Reichel, and A. Ruttan,
Computation of a few small eigenvalues of a large matrix with application to liquid crystal modeling.
Journal of Computational Physics, 146(1), (1998), pp.203-226.
pdf file
J. Baglama, D. Calvetti, and L. Reichel,
Fast leja points.
Electron. Trans. Numer. Anal, 7(124-140), (1998), pp.119-120.
pdf file
J. Baglama, D. Calvetti, G.H. Golub, and L. Reichel,
Adaptively preconditioned GMRES algorithms.
SIAM Journal on Scientific Computing, 20(1), (1998), pp.243-269.
pdf file
S.J. Jang, and J. Baglama,
Qualitative behavior of a variable-yield simple food chain with an inhibiting nutrient.
Mathematical biosciences, 164(1), (2000), pp.65-80.
pdf file
E.J. Allen, J. Baglama, and S.K. Boyd,
Numerical approximation of the product of the square root of a matrix with a vector.
Linear Algebra and its Applications, 310(1-3), (2000), pp.167-181.
pdf file
J. Baglama,
Dealing with linear dependence during the iterations of the restarted block Lanczos methods.
Numerical Algorithms, 25, (2000), pp.23-36.
pdf file
S.J. Jang and J. Baglama,
A nutrient-prey-predator model with intratrophic predation.
Applied mathematics and computation, 129(2-3), (2002), pp.517-536.
pdf file
J. Baglama, D. Calvetti, and L. Reichel,
IRBL: An implicitly restarted block-Lanczos method for large-scale Hermitian eigenproblems.
SIAM Journal on Scientific Computing, 24(5), (2003), pp.1650-1677.
pdf file
J. Baglama, D. Calvetti, and L. Reichel,
Algorithm 827: irbleigs: A MATLAB program for computing a few eigenpairs of a large sparse Hermitian matrix.
ACM Transactions on Mathematical Software (TOMS), 29(3), (2003), pp.337-348.
pdf file
Click here
to download the MATLAB code
irbleigs.m
.
Click here
to download the MATLAB code
irblsvds.m
S.J. Jang and J. Baglama,
Persistence in variable-yield nutrient-plankton models.
Mathematical and computer modelling, 38(3-4), (2003), pp.281-298.
pdf file
S.J. Jang, J. Baglama, and P. Seshaiyer,
Intratrophic predation in a simple food chain with fluctuating nutrient.
Discrete Contin. Dyn. Syst. Ser. B, 5(2), (2005), pp.335-352.
pdf file
S.J. Jang and J. Baglama,
Nutrient-plankton models with nutrient recycling.
Computers and Mathematics with Applications, 49(2-3), (2005), pp.375-387.
pdf file
J. Baglama and L. Reichel,
Augmented implicitly restarted Lanczos bidiagonalization methods.
SIAM Journal on Scientific Computing, 27(1), (2005), pp.19-42.
pdf file
Click here
to download the MATLAB code
irlba.m
.
Click here
for the R package on CRAN for the code
irlba
. Code is maintained by Bryan Lewis.
Click here
for the R package on GitHub for the code
irlba
. Code is maintained by Bryan Lewis.
Click here
for the Python package of
irlba
. Code is maintained by Bryan Lewis.
Click here
for the C++ library for
irlba
. Code is maintained by Aaron Lun.
S.J. Jang and J. Baglama,
Droop models of nutrient-plankton interaction with intratrophic predation.
Applied mathematics and computation, 169(2), (2005), pp.1106-1128.
pdf file
S.J. Jang, J. Baglama, and J. Rick,
Nutrient-phytoplankton-zooplankton models with a toxin.
Mathematical and Computer Modelling, 43(1-2), (2006), pp.105-118.
pdf file
J. Baglama and L. Reichel,
Restarted block Lanczos bidiagonalization methods.
Numerical Algorithms, 43(3), (2006), pp.251-272.
pdf file
Click here
to download the block MATLAB code
irlbablk.m
J. Baglama and L. Reichel,
Decomposition methods for large linear discrete ill-posed problems.
Journal of computational and applied mathematics, 198(2),(2007), pp.332-343.
pdf file
J. Baglama and L. Reichel,
Augmented GMRES-type methods.
Numerical Linear Algebra with Applications, 14(4), (2007), pp.337-350.
pdf file
J. Baglama,
Augmented block householder Arnoldi method.
Linear algebra and its applications, 429(10), (2008), pp.2315-2334.
pdf file
Click here
to download the MATLAB code
ahbeigs.m
S.J. Jang, J. Baglama, and J. Rick,
Plankton-toxin interaction with a variable input nutrient.
Journal of Biological Dynamics, 2(1), (2008), pp.14-30.
pdf file
S.J. Jang and J. Baglama,
Continuous-time predatorâ€“prey models with parasites.
Journal of Biological Dynamics, 3(1), (2009), pp.87-98.
pdf file
S.J. Jang, J. Baglama, and L. Wu,
Random dispersal in a predator-prey-parasite system.
Journal of Biological Systems, 18(04), (2010), pp.825-845.
pdf file
J. Baglama and L. Reichel,
An implicitly restarted block Lanczos bidiagonalization method using Leja shifts.
BIT Numerical Mathematics, 53, (2013), pp.285-310.
J. Baglama, L. Reichel, and D. Richmond,
An augmented LSQR method.
Numerical Algorithms, 64, (2013), pp.263-293.
Click here
to download the MATLAB code
alsqr.m
S.J. Jang, J. Baglama, and L. Wu,
Dynamics of phytoplankton-zooplankton systems with toxin producing phytoplankton.
Applied Mathematics and Computation, 227, (2014), pp.717-740.
J. Baglama and D. Richmond,
Implicitly restarting the LSQR algorithm.
Electronic Transactions on Numerical Analysis, 42, (2014), pp.85-105.
pdf file
Click here
to download the MATLAB code
irlsqr.m
J. Baglama, C. Fenu, L. Reichel, and G. Rodriguez,
Analysis of directed networks via partial singular value decomposition and Gauss quadrature.
Linear Algebra and its Applications, 456, (2014), pp.93-121.
M. Jandron, A. Ruffa, and J. Baglama,
An asynchronous direct solver for banded linear systems.
Numerical Algorithms, 76, (2017), pp.211-235.
Click here
to download the README file
README.txt
.
Click here
to download the MATLAB code
Algorithm_21_TMFS_Driver.m
.
Click here
to download the MATLAB code
Algorithm_21_TMFS.m
.
Click here
to download the MATLAB code
Algorithm_22_TMFBS_Driver.m
.
Click here
to download the MATLAB code
Algorithm_22_TMFBS.m
.
Click here
to download the MATLAB code
Algorithm_31_BMFS.m
.
Click here
to download the MATLAB code
Algorithm_31_BMFS_Driver.m
.
Click here
to download the FORTRAN 95 code
Algorithm_31_BMFS.f90
J. Baglama, T. Bella, and J. Picucci,
Hybrid iterative refined method for computing a few extreme eigenpairs of a symmetric matrix.
SIAM Journal on Scientific Computing, 43(5), (2021), pp.S200-S224.
pdf file
Click here
to download the MATLAB code
trreigs.m
J. Baglama, V. Perovic, and J. Picucci,
Hybrid iterative refined restarted Lanczos bidiagonalization methods.
Numerical Algorithms, Vol. 92, (2023), pp. 1183-1212.
pdf file
Click here
to download the readme file
readme.txt
.
Click here
to download the MATLAB driver code
driver_trrsvds_rd2svds.m
.
Click here
to download the MATLAB code
trrsvds.m
.
Click here
to download the MATLAB code
rd2svds.m
J. Baglama and V. Perovic,
Explicit deflation in Golub-Kahan-Lanczos bidiagonalization methods.
Electronic Transactions on Numerical Analysis, 58, (2023), pp. 164-176.
J. Baglama, V. Perovic, and T. Toolan,
Note on a Rank-one Modification of the Singular Value Decomposition
Applied Mathematics and Computation, Vol. 457, 15 Nov. (2023).
Book Chapters
S. J. Jang and J. Baglama,
Nutrient-Plankton Interaction with a Toxin in a Variable Input Nutrient Environment
Current Development in Mathematical Biology, Proceedings of the Conference on Mathematical Biology and Dynamical Systems, Series on Knots and Everything, (2007), ISBN 981-270-015-3.
J. Baglama,
Creating a First Online Course in the Mathematics Department
Chapter in the Book: Taking your class online: A multidisciplinary journey, Information Age Publishing, (2012), ISBN:161-735-593-3.
J. Baglama,
IRLBA: Fast Partial Singular Value Decomposition Method
Chapter in the Book: Handbook of Big Data, Taylor and Francis, (2016), ISBN: 148-224-907-3.
NOTICE:
This is not an official University of Rhode Island web page. Links contained at this web site are presented as a service and neither constitute nor imply university endorsement or warranty.
James Baglama