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(McGraw-Hill Book Company, New York, 1992)
19. M.P. Blodgett, C.V. Ukpabi, P.B. Nagy, Surface roughness influence on eddy current electrical
conductivity measurements. Mater. Eval. 61, 765–772 (2003)
20. S.K. Burke, L.R.F. Rose, Proc. Roy. Soc. 418A, 229–246 (1988); also Appl. Comput.
Electromagn. Soc. Newsl. 6(1), 30–34 (1991)
21. R.H. Byrd, C.L. Dert, A.H.G. Rinnooy Kan, R.B. Schnabel, Concurrent stochastic methods
for global optimization. Math. Program. 46, 1–29 (1990)
22. C. Cai, M. Lambert, Sparse grid-nested sampling for model selection in eddy-current
testing, in Conference Paper, 20th International Workshop on Electromagnetic Nondestructive
Evaluation (ENDE 2015), Sendai (2015)
23. R. Casañas, H. Scharfetter, A. Altes, A. Remacha, P. Sarda, J. Sierra, J. Rosell, In-vitro
measurement of iron concentration in human hepatic tissue by magnetic induction methods,
in 2001 Proceedings of the 23rd Annual EMBS International Conference, October 25–28,
Istanbul, Turkey (2001), pp. 2971–2974
24. Y. Censor, Row-action methods for huge and sparse systems and their applications. SIAM
Rev. 23, 444–446 (1981)
25. S.B. Chaves, L.M. Lacava, Z.G.M. Lacava, O. Silva, F. Pelegrini, N. Buske, C. Gansau,
P.C. Morais, R.B. Azevedo, Light microscopy and magnetic resonance characterization of
a DMSA-coated magnetic fluid in mice. IEEE Trans. Magn. 38(5), 3231–3233 (2002)
26. R.E. Collin, Field Theory of Guided Waves (McGraw-Hill, New York, 1960)
27. P.L. Combettes, The foundations of set theoretic estimation. Proc. IEEE 81(2), 182–208
(1993)
28. B. Coqblin, The Electronic Structure of Rare-Earth Metals and Alloys: The Magnetic Heavy
Rare-Earths (Academic Press, London, 1977)
29. M.A. Cullinan, M.L. Culpepper, Carbon nanotubes as iezoresistive microelectromechanical
sensors: theory and experiment. Phys. Rev. B 82, 115428 (2010)
30. B.D. Cullity, Introduction to Magnetic Materials (Addison-Wesley, Reading, 1972)
31. E. Dadrasnia, S. Puthukodan, H. Lamela, Terahertz electrical conductivity and optical
characterization of composite nonaligned single- and multiwalled carbon nanotubes. J.
Nanophoton. 8, 1–10 (2014)
32. H. Dai, G.J. Gallo, T. Schumacher, E.T. Thostenson, A novel methodology for spatial damage
detection and imaging using a distributed carbon nanotube-based composite sensor combined
with electrical impedance tomography. J. Nondestructive Eval. 35, 26 (2016)
33. B.J. Debusschere, H.N. Najm, P.P. Pébay, O. Knio, R.G. Ghanem, O.P. LeMaítre, Numerical
challenges in the use of polynomial chaos representations for stochastic processes. SIAM J.
Sci. Comput. 26, 698–719 (2006)
34. T.M.R. Ellis, I.R. Phillips, T.M. Lahey, Fortran 90 Programming. (Addison-Wesley, Harlow,
1994)
35. T. Fast, A.E. Scott, H.A. Bale, B.N. Cox, Topological and euclidean metrics reveal spatically
nonuniform structure in the entanglement of stochastic fiber bundles. J. Mater Sci. 50, 2370–
2398 (2015)
36. R. Fletcher, Practical Methods of Optimization, 2nd edn. (Wiley, Hoboken, 1987)
37. J. Foo, G. Karniadakis, Multi-element probabilistic collocation method in high dimensions.
J. Comput. Phys. 229, 1536–1557 (2010)
38. K.O. Friedrichs, H.N. Shapiro, et al., Integration of Functionals. Institute of Mathematical
Sciences (New York University, New York, 1957)
39. C. Gabriel, S. Gabriel, E. Corthout, The dielectric properties of biological tissues: I. Literature
survey. Phys. Med. Biol. 41, 2231–2249 (1966)
40. S. Gabriel, R.W. Lau, C. Gabriel, The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz. Phys. Med. Biol. 41, 2251–2269 (1966)
41. S. Gabriel, R.W. Lau, C. Gabriel, The dielectric properties of biological tissues: III.
Parametric models for the dielectric spectrum of tissues. Phys. Med. Biol. 41, 2271–2293
(1996)
References
18. P.R. Bevington, D.K. Robinson, Data Reduction and Error Analysis for the Physical Sciences
(McGraw-Hill Book Company, New York, 1992)
19. M.P. Blodgett, C.V. Ukpabi, P.B. Nagy, Surface roughness influence on eddy current electrical
conductivity measurements. Mater. Eval. 61, 765–772 (2003)
20. S.K. Burke, L.R.F. Rose, Proc. Roy. Soc. 418A, 229–246 (1988); also Appl. Comput.
Electromagn. Soc. Newsl. 6(1), 30–34 (1991)
21. R.H. Byrd, C.L. Dert, A.H.G. Rinnooy Kan, R.B. Schnabel, Concurrent stochastic methods
for global optimization. Math. Program. 46, 1–29 (1990)
22. C. Cai, M. Lambert, Sparse grid-nested sampling for model selection in eddy-current
testing, in Conference Paper, 20th International Workshop on Electromagnetic Nondestructive
Evaluation (ENDE 2015), Sendai (2015)
23. R. Casañas, H. Scharfetter, A. Altes, A. Remacha, P. Sarda, J. Sierra, J. Rosell, In-vitro
measurement of iron concentration in human hepatic tissue by magnetic induction methods,
in 2001 Proceedings of the 23rd Annual EMBS International Conference, October 25–28,
Istanbul, Turkey (2001), pp. 2971–2974
24. Y. Censor, Row-action methods for huge and sparse systems and their applications. SIAM
Rev. 23, 444–446 (1981)
25. S.B. Chaves, L.M. Lacava, Z.G.M. Lacava, O. Silva, F. Pelegrini, N. Buske, C. Gansau,
P.C. Morais, R.B. Azevedo, Light microscopy and magnetic resonance characterization of
a DMSA-coated magnetic fluid in mice. IEEE Trans. Magn. 38(5), 3231–3233 (2002)
26. R.E. Collin, Field Theory of Guided Waves (McGraw-Hill, New York, 1960)
27. P.L. Combettes, The foundations of set theoretic estimation. Proc. IEEE 81(2), 182–208
(1993)
28. B. Coqblin, The Electronic Structure of Rare-Earth Metals and Alloys: The Magnetic Heavy
Rare-Earths (Academic Press, London, 1977)
29. M.A. Cullinan, M.L. Culpepper, Carbon nanotubes as iezoresistive microelectromechanical
sensors: theory and experiment. Phys. Rev. B 82, 115428 (2010)
30. B.D. Cullity, Introduction to Magnetic Materials (Addison-Wesley, Reading, 1972)
31. E. Dadrasnia, S. Puthukodan, H. Lamela, Terahertz electrical conductivity and optical
characterization of composite nonaligned single- and multiwalled carbon nanotubes. J.
Nanophoton. 8, 1–10 (2014)
32. H. Dai, G.J. Gallo, T. Schumacher, E.T. Thostenson, A novel methodology for spatial damage
detection and imaging using a distributed carbon nanotube-based composite sensor combined
with electrical impedance tomography. J. Nondestructive Eval. 35, 26 (2016)
33. B.J. Debusschere, H.N. Najm, P.P. Pébay, O. Knio, R.G. Ghanem, O.P. LeMaítre, Numerical
challenges in the use of polynomial chaos representations for stochastic processes. SIAM J.
Sci. Comput. 26, 698–719 (2006)
34. T.M.R. Ellis, I.R. Phillips, T.M. Lahey, Fortran 90 Programming. (Addison-Wesley, Harlow,
1994)
35. T. Fast, A.E. Scott, H.A. Bale, B.N. Cox, Topological and euclidean metrics reveal spatically
nonuniform structure in the entanglement of stochastic fiber bundles. J. Mater Sci. 50, 2370–
2398 (2015)
36. R. Fletcher, Practical Methods of Optimization, 2nd edn. (Wiley, Hoboken, 1987)
37. J. Foo, G. Karniadakis, Multi-element probabilistic collocation method in high dimensions.
J. Comput. Phys. 229, 1536–1557 (2010)
38. K.O. Friedrichs, H.N. Shapiro, et al., Integration of Functionals. Institute of Mathematical
Sciences (New York University, New York, 1957)
39. C. Gabriel, S. Gabriel, E. Corthout, The dielectric properties of biological tissues: I. Literature
survey. Phys. Med. Biol. 41, 2231–2249 (1966)
40. S. Gabriel, R.W. Lau, C. Gabriel, The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz. Phys. Med. Biol. 41, 2251–2269 (1966)
41. S. Gabriel, R.W. Lau, C. Gabriel, The dielectric properties of biological tissues: III.
Parametric models for the dielectric spectrum of tissues. Phys. Med. Biol. 41, 2271–2293
(1996)