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Jodi Mead
Jodi Mead
Professor of Mathematics, Boise State University
Verified email at boisestate.edu - Homepage
Title
Cited by
Cited by
Year
A Newton root-finding algorithm for estimating the regularization parameter for solving ill-conditioned least squares problems
JL Mead, RA Renaut
Inverse Problems 25 (2), 025002, 2008
672008
Optimal Runge–Kutta methods for first order pseudospectral operators
JL Mead, RA Renaut
Journal of Computational Physics 152 (1), 404-419, 1999
481999
Least squares problems with inequality constraints as quadratic constraints
JL Mead, RA Renaut
Linear Algebra and its Applications 432 (8), 1936-1949, 2010
462010
Regularization parameter estimation for large-scale Tikhonov regularization using a priori information
RA Renaut, I Hnìtynková, J Mead
Computational statistics & data analysis 54 (12), 3430-3445, 2010
432010
An iterated pseudospectral method for delay partial differential equations
J Mead, B Zubik-Kowal
Applied numerical mathematics 55 (2), 227-250, 2005
412005
Parameter estimation: A new approach to weighting a priori information
JL Mead
J. Inv. Ill-posed Problems 16 (2), 175-194, 2008
352008
Accuracy, resolution, and stability properties of a modified Chebyshev method
JL Mead, RA Renaut
SIAM Journal on Scientific Computing 24 (1), 143-160, 2002
322002
Estimating unsaturated hydraulic functions for coarse sediment from a field‐scale infiltration experiment
MJ Thoma, W Barrash, M Cardiff, J Bradford, J Mead
Vadose Zone Journal 13 (3), 1-17, 2014
292014
The shallow water equations in Lagrangian coordinates
JL Mead
Journal of Computational Physics 200 (2), 654-669, 2004
182004
Towards regional assimilation of Lagrangian data: the Lagrangian form of the shallow water model and its inverse
JL Mead, AF Bennett
Journal of marine systems 29 (1-4), 365-384, 2001
132001
Discontinuous parameter estimates with least squares estimators
JL Mead
Applied Mathematics and Computation 219 (10), 5210-5223, 2013
122013
Assimilation of simulated float data in Lagrangian coordinates
JL Mead
Ocean Modelling 8 (4), 369-394, 2005
122005
Joint inversion of full-waveform ground-penetrating radar and electrical resistivity data: Part 1
D Domenzain, J Bradford, J Mead
Geophysics 85 (6), H97-H113, 2020
112020
Tests for the Choice of the Regularization Parameter in Nonlinear Inverse Problems
JL Mead, CC Hammerquist
SIAM Journal on Matrix Analysis and Applications 34 (3), 1213-1230, 2013
102013
A priori weighting for parameter estimation
JL Mead
Walter de Gruyter GmbH & Co. KG 16 (2), 175-193, 2008
102008
Joint inversion of full-waveform GPR and ER data enhanced by the envelope transform and cross-gradients
D Domenzain, J Bradford, J Mead
18th International Conference on Ground Penetrating Radar, 332-335, 2020
72020
test for total variation regularization parameter selection
J Mead
Inverse Problems & Imaging 14 (3), 2020
72020
Joint full-waveform ground-penetrating radar and electrical resistivity inversion applied to field data acquired on the surface
D Domenzain, J Bradford, J Mead
Geophysics 87 (1), K1-K17, 2022
62022
Efficient inversion of 2.5 D electrical resistivity data using the discrete adjoint method
D Domenzain, J Bradford, J Mead
Geophysics 86 (3), E225-E237, 2021
62021
Stability of a pivoting strategy for parallel Gaussian elimination
JL Mead, RA Renaut, BD Welfert
BIT Numerical Mathematics 41, 633-639, 2001
62001
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