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48. Heinkenschloss, M., and L. N. Vicente, Analysis of inexact trust-region SQP algorithm,
TR99-18, Department of Computational and Applied Mathematics, Rice University, Hous-
ton, Texas, http://www.caam.rice.edu/, 1999b.
49. Holland, J., Adaptation in Natural and Artificial Systems, Univ. of Michigan Press, Ann
50. Hough P. D., T. G. Kolda, and V. Torczon, Asynchronous parallel pattern search for
nonlinear optimization, Sandia National Laboratories, Report SAND2000-8213, 2000.
51. Jackson, D. D., Interpretation of inaccurate, insufficient, and inconsistent data, Geophys.
J. Roy. AstronSoc., 28, 97-109, 1972.
52. Kennett, B. L. N., and G. Nolet, Resolution analysis for discrete systems, Geophys. J. R.
Astr. Soc., 53, 413-425, 1978.
53. Kennett, B. L. N., and M. S. Sambridge, Earthquake location - genetic algorithms for
teleseisms, Phys. Earth Planet. Interiors, 75, 103-110, 1992.
54. Kirkpatrick, S., C. D. Gelatt, Jr., and M. P. Vecchi, Optimization by simulated annealing,
Science, 220, 671-680, 1983.
55. Lee, W. H. K., and S. W. Stewart, Principles and Applications of Microearthquake Net-
works, Academic Press, New York, 293 pp., 1981.
56. Lenhart, S., V. Protopopescu, and J. Yong, Solving inverse problems of identification type
by optimal control methods, p. 87-94 in Applied Nonlinear Dynamics and Stochastic Sys-
tems Near the Millennium, J. B. Kadtke and A. Bulsara (eds), AIP Conference Proceedings
57. L6veque, J.-J., L. Rivera, and G. Wittlinger, On the use of the checker-board test to assess
the resolution of tomographic inversions, Geophys. J. Int., 115, 313-318, 1993.
58. Lewis R. M., and V. Torczon, Rank ordering and positive basis in pattern search algo-
rithms, ICASE NASA Langley Research Center, TR 96-71, 1996.
59. Lewis R. M., and V. Torczon 1998, Pattern search methods for linearly constrained min-
imization, ICASE NASA Langley Research Center, TR 98-3, 1998a, to appear, in SIAM
Journal on Optimization.
60. Lewis R. M., and V. Torczon, A globally convergent augmented Lagrangian pattern search
algorithm for optimization with general constraints and simple bounds, ICASE NASA
Langley Research Center, 1998b.
61. Lewis R. M., and V. Torczon, Pattern search algorithms for bound constrained minimiza-
tion, SIAM Journal on Optimization, Vol.9 No.4, 1082-1099, 1999.
62. Lewis, R. M., V. Torczon, and M. W. Trosset, Why pattern search works, OPTIMA, 59,
1-7, October, 1998.
63. Menke, W., Geophysical Data Analysis: Discrete Inverse Theory, Academic, New York,
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Barhen, J.; Berryman, J.G.; Borcea, L.; Dennis, J.; de Groot-Hedlin, C.; Gilbert, F. et al. Optimization and geophysical inverse problems, report, October 1, 2000; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc901685/m1/34/: accessed February 21, 2019), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.