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You searched for subject:(inverse problems). Showing records 1 – 30 of 370 total matches.

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Johannes Gutenberg Universität Mainz

1. Griesmaier, Roland. Detection of small buried objects: asymptotic factorization and MUSIC.

Degree: 2008, Johannes Gutenberg Universität Mainz

In this work, we consider a simple model problem for the electromagnetic exploration of small perfectly conducting objects buried within the lower halfspace of an… (more)

Subjects/Keywords: Inverse Probleme; inverse problems; Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Griesmaier, R. (2008). Detection of small buried objects: asymptotic factorization and MUSIC. (Doctoral Dissertation). Johannes Gutenberg Universität Mainz. Retrieved from http://ubm.opus.hbz-nrw.de/volltexte/2008/1666/

Chicago Manual of Style (16th Edition):

Griesmaier, Roland. “Detection of small buried objects: asymptotic factorization and MUSIC.” 2008. Doctoral Dissertation, Johannes Gutenberg Universität Mainz. Accessed October 21, 2017. http://ubm.opus.hbz-nrw.de/volltexte/2008/1666/.

MLA Handbook (7th Edition):

Griesmaier, Roland. “Detection of small buried objects: asymptotic factorization and MUSIC.” 2008. Web. 21 Oct 2017.

Vancouver:

Griesmaier R. Detection of small buried objects: asymptotic factorization and MUSIC. [Internet] [Doctoral dissertation]. Johannes Gutenberg Universität Mainz; 2008. [cited 2017 Oct 21]. Available from: http://ubm.opus.hbz-nrw.de/volltexte/2008/1666/.

Council of Science Editors:

Griesmaier R. Detection of small buried objects: asymptotic factorization and MUSIC. [Doctoral Dissertation]. Johannes Gutenberg Universität Mainz; 2008. Available from: http://ubm.opus.hbz-nrw.de/volltexte/2008/1666/


University of Manchester

2. Nugroho, Agung Tjahjo. Microwave tomography.

Degree: PhD, 2015, University of Manchester

 This thesis reports on the research carried out in the area of Microwave Tomography (MWT) where the study aims to develop inversion algorithms to obtain… (more)

Subjects/Keywords: Microwave Tomography; Inverse Problems

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APA (6th Edition):

Nugroho, A. T. (2015). Microwave tomography. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:278719 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.677742

Chicago Manual of Style (16th Edition):

Nugroho, Agung Tjahjo. “Microwave tomography.” 2015. Doctoral Dissertation, University of Manchester. Accessed October 21, 2017. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:278719 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.677742.

MLA Handbook (7th Edition):

Nugroho, Agung Tjahjo. “Microwave tomography.” 2015. Web. 21 Oct 2017.

Vancouver:

Nugroho AT. Microwave tomography. [Internet] [Doctoral dissertation]. University of Manchester; 2015. [cited 2017 Oct 21]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:278719 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.677742.

Council of Science Editors:

Nugroho AT. Microwave tomography. [Doctoral Dissertation]. University of Manchester; 2015. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:278719 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.677742


Cornell University

3. Bliznyuk, Nikolay. Posterior Approximation by Interpolation for Bayesian Inference in Computationally Expensive Statistical Models .

Degree: 2008, Cornell University

 Markov Chain Monte Carlo (MCMC) is nowadays a standard approach to numerical computation of integrals of the posterior density π of the parameter vector η.… (more)

Subjects/Keywords: inverse problems; response surface

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APA (6th Edition):

Bliznyuk, N. (2008). Posterior Approximation by Interpolation for Bayesian Inference in Computationally Expensive Statistical Models . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/11103

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bliznyuk, Nikolay. “Posterior Approximation by Interpolation for Bayesian Inference in Computationally Expensive Statistical Models .” 2008. Thesis, Cornell University. Accessed October 21, 2017. http://hdl.handle.net/1813/11103.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bliznyuk, Nikolay. “Posterior Approximation by Interpolation for Bayesian Inference in Computationally Expensive Statistical Models .” 2008. Web. 21 Oct 2017.

Vancouver:

Bliznyuk N. Posterior Approximation by Interpolation for Bayesian Inference in Computationally Expensive Statistical Models . [Internet] [Thesis]. Cornell University; 2008. [cited 2017 Oct 21]. Available from: http://hdl.handle.net/1813/11103.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bliznyuk N. Posterior Approximation by Interpolation for Bayesian Inference in Computationally Expensive Statistical Models . [Thesis]. Cornell University; 2008. Available from: http://hdl.handle.net/1813/11103

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Cornell University

4. Sabelli, Anthony. Novel Methods For Source Localization And Material Identification .

Degree: 2013, Cornell University

 In this work we present two independent inverse problem methods. In the first chapter we address the problem of source localization. Localizing sources in physical… (more)

Subjects/Keywords: Inverse Problems; Computational Mechanics

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APA (6th Edition):

Sabelli, A. (2013). Novel Methods For Source Localization And Material Identification . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/33808

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sabelli, Anthony. “Novel Methods For Source Localization And Material Identification .” 2013. Thesis, Cornell University. Accessed October 21, 2017. http://hdl.handle.net/1813/33808.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sabelli, Anthony. “Novel Methods For Source Localization And Material Identification .” 2013. Web. 21 Oct 2017.

Vancouver:

Sabelli A. Novel Methods For Source Localization And Material Identification . [Internet] [Thesis]. Cornell University; 2013. [cited 2017 Oct 21]. Available from: http://hdl.handle.net/1813/33808.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sabelli A. Novel Methods For Source Localization And Material Identification . [Thesis]. Cornell University; 2013. Available from: http://hdl.handle.net/1813/33808

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Cornell University

5. Sternfels, Henri. Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty .

Degree: 2013, Cornell University

 The main contributions of the present thesis are novel computational methods related to uncertainty quantification, inverse problems and reduced order modeling in engineering. In the… (more)

Subjects/Keywords: Uncertainty Quantification; Inverse Problems

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APA (6th Edition):

Sternfels, H. (2013). Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/33860

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sternfels, Henri. “Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty .” 2013. Thesis, Cornell University. Accessed October 21, 2017. http://hdl.handle.net/1813/33860.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sternfels, Henri. “Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty .” 2013. Web. 21 Oct 2017.

Vancouver:

Sternfels H. Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty . [Internet] [Thesis]. Cornell University; 2013. [cited 2017 Oct 21]. Available from: http://hdl.handle.net/1813/33860.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sternfels H. Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty . [Thesis]. Cornell University; 2013. Available from: http://hdl.handle.net/1813/33860

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

6. Wang, Wei-Chuan. Direct and inverse problems for one-dimensional p-Laplacian operators.

Degree: PhD, Applied Mathematics, 2010, NSYSU

 In this thesis, direct and inverse problems concerning nodal solutions associated with the one-dimensional p-Laplacian operators are studied. We first consider the eigenvalue problem on… (more)

Subjects/Keywords: p-Laplacian; inverse problems

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APA (6th Edition):

Wang, W. (2010). Direct and inverse problems for one-dimensional p-Laplacian operators. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0531110-195414

Chicago Manual of Style (16th Edition):

Wang, Wei-Chuan. “Direct and inverse problems for one-dimensional p-Laplacian operators.” 2010. Doctoral Dissertation, NSYSU. Accessed October 21, 2017. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0531110-195414.

MLA Handbook (7th Edition):

Wang, Wei-Chuan. “Direct and inverse problems for one-dimensional p-Laplacian operators.” 2010. Web. 21 Oct 2017.

Vancouver:

Wang W. Direct and inverse problems for one-dimensional p-Laplacian operators. [Internet] [Doctoral dissertation]. NSYSU; 2010. [cited 2017 Oct 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0531110-195414.

Council of Science Editors:

Wang W. Direct and inverse problems for one-dimensional p-Laplacian operators. [Doctoral Dissertation]. NSYSU; 2010. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0531110-195414


Penn State University

7. Ballard, Megan Sue. Optimized constraints for linearized geoacoustic inverse problem.

Degree: PhD, Acoustics, 2009, Penn State University

 This work is concerned with developing inverse methods to estimate sound speed profiles of the water column and seabed in the shallow-water environment. The approaches… (more)

Subjects/Keywords: normal modes; inverse problems; regualization

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APA (6th Edition):

Ballard, M. S. (2009). Optimized constraints for linearized geoacoustic inverse problem. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/10152

Chicago Manual of Style (16th Edition):

Ballard, Megan Sue. “Optimized constraints for linearized geoacoustic inverse problem.” 2009. Doctoral Dissertation, Penn State University. Accessed October 21, 2017. https://etda.libraries.psu.edu/catalog/10152.

MLA Handbook (7th Edition):

Ballard, Megan Sue. “Optimized constraints for linearized geoacoustic inverse problem.” 2009. Web. 21 Oct 2017.

Vancouver:

Ballard MS. Optimized constraints for linearized geoacoustic inverse problem. [Internet] [Doctoral dissertation]. Penn State University; 2009. [cited 2017 Oct 21]. Available from: https://etda.libraries.psu.edu/catalog/10152.

Council of Science Editors:

Ballard MS. Optimized constraints for linearized geoacoustic inverse problem. [Doctoral Dissertation]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/10152


University of Texas – Austin

8. Goswami, Pulak. Recovering the payoff structure of a utility maximizing agent.

Degree: Mathematics, 2016, University of Texas – Austin

 Any agent with access to information that is not available to the market at large is considered an ‘insider’. It is possible to interpret the… (more)

Subjects/Keywords: Inverse problems; Insider trading

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APA (6th Edition):

Goswami, P. (2016). Recovering the payoff structure of a utility maximizing agent. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/40299

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Goswami, Pulak. “Recovering the payoff structure of a utility maximizing agent.” 2016. Thesis, University of Texas – Austin. Accessed October 21, 2017. http://hdl.handle.net/2152/40299.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Goswami, Pulak. “Recovering the payoff structure of a utility maximizing agent.” 2016. Web. 21 Oct 2017.

Vancouver:

Goswami P. Recovering the payoff structure of a utility maximizing agent. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2017 Oct 21]. Available from: http://hdl.handle.net/2152/40299.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Goswami P. Recovering the payoff structure of a utility maximizing agent. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/40299

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Victoria University of Wellington

9. Faegh-Lashgary, Pegah. Modelling geodetic observations of postseismic displacement in the central and southern South Island of New Zealand.

Degree: 2016, Victoria University of Wellington

 The last seven years have seen southern New Zealand a ected by several large and damaging earthquakes: the moment magnitude (MW) 7.8 Dusky Sound earthquake… (more)

Subjects/Keywords: Satellite geodesy; Postseismic modelling; Inverse problems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Faegh-Lashgary, P. (2016). Modelling geodetic observations of postseismic displacement in the central and southern South Island of New Zealand. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/5563

Chicago Manual of Style (16th Edition):

Faegh-Lashgary, Pegah. “Modelling geodetic observations of postseismic displacement in the central and southern South Island of New Zealand.” 2016. Doctoral Dissertation, Victoria University of Wellington. Accessed October 21, 2017. http://hdl.handle.net/10063/5563.

MLA Handbook (7th Edition):

Faegh-Lashgary, Pegah. “Modelling geodetic observations of postseismic displacement in the central and southern South Island of New Zealand.” 2016. Web. 21 Oct 2017.

Vancouver:

Faegh-Lashgary P. Modelling geodetic observations of postseismic displacement in the central and southern South Island of New Zealand. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2016. [cited 2017 Oct 21]. Available from: http://hdl.handle.net/10063/5563.

Council of Science Editors:

Faegh-Lashgary P. Modelling geodetic observations of postseismic displacement in the central and southern South Island of New Zealand. [Doctoral Dissertation]. Victoria University of Wellington; 2016. Available from: http://hdl.handle.net/10063/5563


University of Pennsylvania

10. Levinson, Howard. A Novel Iterative Algorithm for Solving Nonlinear Inverse Scattering Problems.

Degree: 2016, University of Pennsylvania

 We introduce a novel iterative method for solving nonlinear inverse scattering problems. Inspired by the theory of nonlocality, we formulate the inverse scattering problem in… (more)

Subjects/Keywords: Inverse Problems; Nonlinear Iterations; Scattering; Applied Mathematics

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APA (6th Edition):

Levinson, H. (2016). A Novel Iterative Algorithm for Solving Nonlinear Inverse Scattering Problems. (Thesis). University of Pennsylvania. Retrieved from http://repository.upenn.edu/edissertations/1843

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Levinson, Howard. “A Novel Iterative Algorithm for Solving Nonlinear Inverse Scattering Problems.” 2016. Thesis, University of Pennsylvania. Accessed October 21, 2017. http://repository.upenn.edu/edissertations/1843.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Levinson, Howard. “A Novel Iterative Algorithm for Solving Nonlinear Inverse Scattering Problems.” 2016. Web. 21 Oct 2017.

Vancouver:

Levinson H. A Novel Iterative Algorithm for Solving Nonlinear Inverse Scattering Problems. [Internet] [Thesis]. University of Pennsylvania; 2016. [cited 2017 Oct 21]. Available from: http://repository.upenn.edu/edissertations/1843.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Levinson H. A Novel Iterative Algorithm for Solving Nonlinear Inverse Scattering Problems. [Thesis]. University of Pennsylvania; 2016. Available from: http://repository.upenn.edu/edissertations/1843

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. DeCamp, Linda. Regularized Numerical Algorithms For Stable Parameter Estimation In Epidemiology And Implications For Forecasting.

Degree: PhD, Mathematics and Statistics, 2017, Georgia State University

  When an emerging outbreak occurs, stable parameter estimation and reliable projections of future incidence cases using limited (early) data can play an important role… (more)

Subjects/Keywords: Inverse Problems; Epidemiology; Regularization; Parameter Estimation; Forecasting

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APA (6th Edition):

DeCamp, L. (2017). Regularized Numerical Algorithms For Stable Parameter Estimation In Epidemiology And Implications For Forecasting. (Doctoral Dissertation). Georgia State University. Retrieved from http://scholarworks.gsu.edu/math_diss/45

Chicago Manual of Style (16th Edition):

DeCamp, Linda. “Regularized Numerical Algorithms For Stable Parameter Estimation In Epidemiology And Implications For Forecasting.” 2017. Doctoral Dissertation, Georgia State University. Accessed October 21, 2017. http://scholarworks.gsu.edu/math_diss/45.

MLA Handbook (7th Edition):

DeCamp, Linda. “Regularized Numerical Algorithms For Stable Parameter Estimation In Epidemiology And Implications For Forecasting.” 2017. Web. 21 Oct 2017.

Vancouver:

DeCamp L. Regularized Numerical Algorithms For Stable Parameter Estimation In Epidemiology And Implications For Forecasting. [Internet] [Doctoral dissertation]. Georgia State University; 2017. [cited 2017 Oct 21]. Available from: http://scholarworks.gsu.edu/math_diss/45.

Council of Science Editors:

DeCamp L. Regularized Numerical Algorithms For Stable Parameter Estimation In Epidemiology And Implications For Forecasting. [Doctoral Dissertation]. Georgia State University; 2017. Available from: http://scholarworks.gsu.edu/math_diss/45


Virginia Tech

12. Hebbur Venkata Subba Rao, Vishwas. Adjoint based solution and uncertainty quantification techniques for variational inverse problems.

Degree: PhD, Computer Science and Applications, 2015, Virginia Tech

 Variational inverse problems integrate computational simulations of physical phenomena with physical measurements in an informational feedback control system. Control parameters of the computational model are… (more)

Subjects/Keywords: Data assimilation; Inverse problems; sensitivity analysis

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APA (6th Edition):

Hebbur Venkata Subba Rao, V. (2015). Adjoint based solution and uncertainty quantification techniques for variational inverse problems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/76665

Chicago Manual of Style (16th Edition):

Hebbur Venkata Subba Rao, Vishwas. “Adjoint based solution and uncertainty quantification techniques for variational inverse problems.” 2015. Doctoral Dissertation, Virginia Tech. Accessed October 21, 2017. http://hdl.handle.net/10919/76665.

MLA Handbook (7th Edition):

Hebbur Venkata Subba Rao, Vishwas. “Adjoint based solution and uncertainty quantification techniques for variational inverse problems.” 2015. Web. 21 Oct 2017.

Vancouver:

Hebbur Venkata Subba Rao V. Adjoint based solution and uncertainty quantification techniques for variational inverse problems. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2017 Oct 21]. Available from: http://hdl.handle.net/10919/76665.

Council of Science Editors:

Hebbur Venkata Subba Rao V. Adjoint based solution and uncertainty quantification techniques for variational inverse problems. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/76665


University of Texas – Austin

13. Gilbert, Andrew James. Noninvasive material discrimination using spectral radiography and an inverse problem approach.

Degree: Mechanical Engineering, 2014, University of Texas – Austin

 Noninvasive material discrimination of an arbitrary object is applicable to a wide range of fields, including medical scans, security inspections, nuclear safeguards, and nuclear material… (more)

Subjects/Keywords: X-ray; Radiography; Inverse problems; Material discrimination

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APA (6th Edition):

Gilbert, A. J. (2014). Noninvasive material discrimination using spectral radiography and an inverse problem approach. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/46534

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gilbert, Andrew James. “Noninvasive material discrimination using spectral radiography and an inverse problem approach.” 2014. Thesis, University of Texas – Austin. Accessed October 21, 2017. http://hdl.handle.net/2152/46534.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gilbert, Andrew James. “Noninvasive material discrimination using spectral radiography and an inverse problem approach.” 2014. Web. 21 Oct 2017.

Vancouver:

Gilbert AJ. Noninvasive material discrimination using spectral radiography and an inverse problem approach. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2017 Oct 21]. Available from: http://hdl.handle.net/2152/46534.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gilbert AJ. Noninvasive material discrimination using spectral radiography and an inverse problem approach. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/46534

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Drexel University

14. Karlovitz, Alexander. Numerical Methods for Inversion of the One-Dimensional Diffusion Equation.

Degree: 2017, Drexel University

The one-dimensional diffusion equation comes up in a variety of physical circumstances. Both analytical and numerical methods are well understood for the forward problem. However,… (more)

Subjects/Keywords: Mathematics; Heat equation; Inverse problems (Differential equations)

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APA (6th Edition):

Karlovitz, A. (2017). Numerical Methods for Inversion of the One-Dimensional Diffusion Equation. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/idea:7407

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Karlovitz, Alexander. “Numerical Methods for Inversion of the One-Dimensional Diffusion Equation.” 2017. Thesis, Drexel University. Accessed October 21, 2017. http://hdl.handle.net/1860/idea:7407.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Karlovitz, Alexander. “Numerical Methods for Inversion of the One-Dimensional Diffusion Equation.” 2017. Web. 21 Oct 2017.

Vancouver:

Karlovitz A. Numerical Methods for Inversion of the One-Dimensional Diffusion Equation. [Internet] [Thesis]. Drexel University; 2017. [cited 2017 Oct 21]. Available from: http://hdl.handle.net/1860/idea:7407.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Karlovitz A. Numerical Methods for Inversion of the One-Dimensional Diffusion Equation. [Thesis]. Drexel University; 2017. Available from: http://hdl.handle.net/1860/idea:7407

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

15. Bingham, Kenrick. The Blagoveščenskiĭ Identity and the Inverse Scattering Problem.

Degree: 2005, Helsinki University of Technology

The inverse scattering problem for the plasma wave equation [∂2t − ∆ + q(x)] u(x,t) = 0 in three space dimensions is considered in this… (more)

Subjects/Keywords: inverse problems; inverse scattering problem; potential scattering; boundary control method

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APA (6th Edition):

Bingham, K. (2005). The Blagoveščenskiĭ Identity and the Inverse Scattering Problem. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/2005/isbn9512276143/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bingham, Kenrick. “The Blagoveščenskiĭ Identity and the Inverse Scattering Problem.” 2005. Thesis, Helsinki University of Technology. Accessed October 21, 2017. http://lib.tkk.fi/Diss/2005/isbn9512276143/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bingham, Kenrick. “The Blagoveščenskiĭ Identity and the Inverse Scattering Problem.” 2005. Web. 21 Oct 2017.

Vancouver:

Bingham K. The Blagoveščenskiĭ Identity and the Inverse Scattering Problem. [Internet] [Thesis]. Helsinki University of Technology; 2005. [cited 2017 Oct 21]. Available from: http://lib.tkk.fi/Diss/2005/isbn9512276143/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bingham K. The Blagoveščenskiĭ Identity and the Inverse Scattering Problem. [Thesis]. Helsinki University of Technology; 2005. Available from: http://lib.tkk.fi/Diss/2005/isbn9512276143/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Johannes Gutenberg Universität Mainz

16. Schappel, Birgit. Die Faktorisierungsmethode für die elektrische Impedanztomographie im Halbraum.

Degree: 2005, Johannes Gutenberg Universität Mainz

In der vorliegenden Arbeit wird die Faktorisierungsmethode zur Erkennung von Inhomogenitäten der Leitfähigkeit in der elektrischen Impedanztomographie auf unbeschränkten Gebieten - speziell der Halbebene bzw.… (more)

Subjects/Keywords: Inverse Probleme; inverse problems; Mathematics

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APA (6th Edition):

Schappel, B. (2005). Die Faktorisierungsmethode für die elektrische Impedanztomographie im Halbraum. (Doctoral Dissertation). Johannes Gutenberg Universität Mainz. Retrieved from http://ubm.opus.hbz-nrw.de/volltexte/2005/742/

Chicago Manual of Style (16th Edition):

Schappel, Birgit. “Die Faktorisierungsmethode für die elektrische Impedanztomographie im Halbraum.” 2005. Doctoral Dissertation, Johannes Gutenberg Universität Mainz. Accessed October 21, 2017. http://ubm.opus.hbz-nrw.de/volltexte/2005/742/.

MLA Handbook (7th Edition):

Schappel, Birgit. “Die Faktorisierungsmethode für die elektrische Impedanztomographie im Halbraum.” 2005. Web. 21 Oct 2017.

Vancouver:

Schappel B. Die Faktorisierungsmethode für die elektrische Impedanztomographie im Halbraum. [Internet] [Doctoral dissertation]. Johannes Gutenberg Universität Mainz; 2005. [cited 2017 Oct 21]. Available from: http://ubm.opus.hbz-nrw.de/volltexte/2005/742/.

Council of Science Editors:

Schappel B. Die Faktorisierungsmethode für die elektrische Impedanztomographie im Halbraum. [Doctoral Dissertation]. Johannes Gutenberg Universität Mainz; 2005. Available from: http://ubm.opus.hbz-nrw.de/volltexte/2005/742/


Johannes Gutenberg Universität Mainz

17. Gebauer, Bastian. Gebietserkennung mit der Faktorisierungsmethode.

Degree: 2006, Johannes Gutenberg Universität Mainz

In der vorliegenden Arbeit wird die Faktorisierungsmethode zur Erkennung von Gebieten mit sprunghaft abweichenden Materialparametern untersucht. Durch eine abstrakte Formulierung beweisen wir die der Methode… (more)

Subjects/Keywords: Inverse Probleme; inverse problems; Mathematics

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APA (6th Edition):

Gebauer, B. (2006). Gebietserkennung mit der Faktorisierungsmethode. (Doctoral Dissertation). Johannes Gutenberg Universität Mainz. Retrieved from http://ubm.opus.hbz-nrw.de/volltexte/2006/1137/

Chicago Manual of Style (16th Edition):

Gebauer, Bastian. “Gebietserkennung mit der Faktorisierungsmethode.” 2006. Doctoral Dissertation, Johannes Gutenberg Universität Mainz. Accessed October 21, 2017. http://ubm.opus.hbz-nrw.de/volltexte/2006/1137/.

MLA Handbook (7th Edition):

Gebauer, Bastian. “Gebietserkennung mit der Faktorisierungsmethode.” 2006. Web. 21 Oct 2017.

Vancouver:

Gebauer B. Gebietserkennung mit der Faktorisierungsmethode. [Internet] [Doctoral dissertation]. Johannes Gutenberg Universität Mainz; 2006. [cited 2017 Oct 21]. Available from: http://ubm.opus.hbz-nrw.de/volltexte/2006/1137/.

Council of Science Editors:

Gebauer B. Gebietserkennung mit der Faktorisierungsmethode. [Doctoral Dissertation]. Johannes Gutenberg Universität Mainz; 2006. Available from: http://ubm.opus.hbz-nrw.de/volltexte/2006/1137/


University of Michigan

18. Hoskins, Jeremy. Diffuse Scattering and Diffuse Optical Tomography on Graphs.

Degree: PhD, Applied and Interdisciplinary Mathematics, 2017, University of Michigan

 We formulate and analyze difference equations on graphs analogous to time- independent diffusion equations arising in the study of diffuse scattering in con- tinuous media… (more)

Subjects/Keywords: inverse problems; imaging; inverse Born series; Mathematics; Science

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APA (6th Edition):

Hoskins, J. (2017). Diffuse Scattering and Diffuse Optical Tomography on Graphs. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138547

Chicago Manual of Style (16th Edition):

Hoskins, Jeremy. “Diffuse Scattering and Diffuse Optical Tomography on Graphs.” 2017. Doctoral Dissertation, University of Michigan. Accessed October 21, 2017. http://hdl.handle.net/2027.42/138547.

MLA Handbook (7th Edition):

Hoskins, Jeremy. “Diffuse Scattering and Diffuse Optical Tomography on Graphs.” 2017. Web. 21 Oct 2017.

Vancouver:

Hoskins J. Diffuse Scattering and Diffuse Optical Tomography on Graphs. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2017 Oct 21]. Available from: http://hdl.handle.net/2027.42/138547.

Council of Science Editors:

Hoskins J. Diffuse Scattering and Diffuse Optical Tomography on Graphs. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138547


University of New South Wales

19. Marjanovic, Goran. lq sparse signal estimation with applications.

Degree: Electrical Engineering & Telecommunications, 2012, University of New South Wales

 The use of sparsity has emerged in the last fifteen years as an important tool for solving many problems in the areas of signal processing… (more)

Subjects/Keywords: Inverse problems; Sparse; Non convex; Matrix completion; Inverse covariance; Linear regression; Penalized problem

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APA (6th Edition):

Marjanovic, G. (2012). lq sparse signal estimation with applications. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52400

Chicago Manual of Style (16th Edition):

Marjanovic, Goran. “lq sparse signal estimation with applications.” 2012. Doctoral Dissertation, University of New South Wales. Accessed October 21, 2017. http://handle.unsw.edu.au/1959.4/52400.

MLA Handbook (7th Edition):

Marjanovic, Goran. “lq sparse signal estimation with applications.” 2012. Web. 21 Oct 2017.

Vancouver:

Marjanovic G. lq sparse signal estimation with applications. [Internet] [Doctoral dissertation]. University of New South Wales; 2012. [cited 2017 Oct 21]. Available from: http://handle.unsw.edu.au/1959.4/52400.

Council of Science Editors:

Marjanovic G. lq sparse signal estimation with applications. [Doctoral Dissertation]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/52400


Colorado State University

20. Alsaker, Melody. Computational advancements in the D-bar reconstruction method for 2-D electrical impedance tomography.

Degree: PhD, Mathematics, 2016, Colorado State University

 We study the problem of reconstructing 2-D conductivities from boundary voltage and current density measurements, also known as the electrical impedance tomography (EIT) problem, using… (more)

Subjects/Keywords: Electrical impedance tomography; Inverse problems; D-bar algorithm; Medical imaging; Inverse conductivity problem

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APA (6th Edition):

Alsaker, M. (2016). Computational advancements in the D-bar reconstruction method for 2-D electrical impedance tomography. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/173372

Chicago Manual of Style (16th Edition):

Alsaker, Melody. “Computational advancements in the D-bar reconstruction method for 2-D electrical impedance tomography.” 2016. Doctoral Dissertation, Colorado State University. Accessed October 21, 2017. http://hdl.handle.net/10217/173372.

MLA Handbook (7th Edition):

Alsaker, Melody. “Computational advancements in the D-bar reconstruction method for 2-D electrical impedance tomography.” 2016. Web. 21 Oct 2017.

Vancouver:

Alsaker M. Computational advancements in the D-bar reconstruction method for 2-D electrical impedance tomography. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2017 Oct 21]. Available from: http://hdl.handle.net/10217/173372.

Council of Science Editors:

Alsaker M. Computational advancements in the D-bar reconstruction method for 2-D electrical impedance tomography. [Doctoral Dissertation]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/173372


Northeastern University

21. Karbeyaz, Ersel. Modal-based tomographic imaging from far-zone observations.

Degree: PhD, Department of Electrical and Computer Engineering, 2009, Northeastern University

 A novel method of optical diffraction tomography (ODT) to image weakly scattering, electrically large two dimensional (2D) objects using the far-zone scattered field data is… (more)

Subjects/Keywords: Electrical engineering; Inverse problems; Inverse scattering; Optimization techniques; Tomography; Diagnostic imaging; Biomedical Engineering and Bioengineering

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APA (6th Edition):

Karbeyaz, E. (2009). Modal-based tomographic imaging from far-zone observations. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/d10019157

Chicago Manual of Style (16th Edition):

Karbeyaz, Ersel. “Modal-based tomographic imaging from far-zone observations.” 2009. Doctoral Dissertation, Northeastern University. Accessed October 21, 2017. http://hdl.handle.net/2047/d10019157.

MLA Handbook (7th Edition):

Karbeyaz, Ersel. “Modal-based tomographic imaging from far-zone observations.” 2009. Web. 21 Oct 2017.

Vancouver:

Karbeyaz E. Modal-based tomographic imaging from far-zone observations. [Internet] [Doctoral dissertation]. Northeastern University; 2009. [cited 2017 Oct 21]. Available from: http://hdl.handle.net/2047/d10019157.

Council of Science Editors:

Karbeyaz E. Modal-based tomographic imaging from far-zone observations. [Doctoral Dissertation]. Northeastern University; 2009. Available from: http://hdl.handle.net/2047/d10019157

22. Văcar, Cornelia Paula. Inversion for textured images : unsupervised myopic deconvolution, model selection, deconvolution-segmentation : Inversion pour image texturée : déconvolution myope non supervisée, choix de modèles, déconvolution-segmentation.

Degree: Docteur es, Automatique, productique, signal et image, ingénierie cognitique, 2014, Bordeaux

Ce travail est dédié à la résolution de plusieurs problèmes de grand intérêt en traitement d’images : segmentation, choix de modèle et estimation de paramètres,… (more)

Subjects/Keywords: Problème inverse; BAYES; Segmentation; Hyper-paramètre; Déconvolution; Inverse problems; BAYES; Segmentation; Hyper-parameters; Deconvolution

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APA (6th Edition):

Văcar, C. P. (2014). Inversion for textured images : unsupervised myopic deconvolution, model selection, deconvolution-segmentation : Inversion pour image texturée : déconvolution myope non supervisée, choix de modèles, déconvolution-segmentation. (Doctoral Dissertation). Bordeaux. Retrieved from http://www.theses.fr/2014BORD0131

Chicago Manual of Style (16th Edition):

Văcar, Cornelia Paula. “Inversion for textured images : unsupervised myopic deconvolution, model selection, deconvolution-segmentation : Inversion pour image texturée : déconvolution myope non supervisée, choix de modèles, déconvolution-segmentation.” 2014. Doctoral Dissertation, Bordeaux. Accessed October 21, 2017. http://www.theses.fr/2014BORD0131.

MLA Handbook (7th Edition):

Văcar, Cornelia Paula. “Inversion for textured images : unsupervised myopic deconvolution, model selection, deconvolution-segmentation : Inversion pour image texturée : déconvolution myope non supervisée, choix de modèles, déconvolution-segmentation.” 2014. Web. 21 Oct 2017.

Vancouver:

Văcar CP. Inversion for textured images : unsupervised myopic deconvolution, model selection, deconvolution-segmentation : Inversion pour image texturée : déconvolution myope non supervisée, choix de modèles, déconvolution-segmentation. [Internet] [Doctoral dissertation]. Bordeaux; 2014. [cited 2017 Oct 21]. Available from: http://www.theses.fr/2014BORD0131.

Council of Science Editors:

Văcar CP. Inversion for textured images : unsupervised myopic deconvolution, model selection, deconvolution-segmentation : Inversion pour image texturée : déconvolution myope non supervisée, choix de modèles, déconvolution-segmentation. [Doctoral Dissertation]. Bordeaux; 2014. Available from: http://www.theses.fr/2014BORD0131


Texas A&M University

23. Trahan, Russell E. The Phase Retrieval Problem and Its Applications in Optics.

Degree: 2014, Texas A&M University

 In this dissertation the various forms and applications of the phase retrieval problem in imaging are discussed. The phase retrieval problem in general refers to… (more)

Subjects/Keywords: Phase retrieval; image reconstruction techniques; optics; inverse problems; interferometric imaging; continuous optical signal processing; inverse problems; occultation

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APA (6th Edition):

Trahan, R. E. (2014). The Phase Retrieval Problem and Its Applications in Optics. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153923

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Trahan, Russell E. “The Phase Retrieval Problem and Its Applications in Optics.” 2014. Thesis, Texas A&M University. Accessed October 21, 2017. http://hdl.handle.net/1969.1/153923.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Trahan, Russell E. “The Phase Retrieval Problem and Its Applications in Optics.” 2014. Web. 21 Oct 2017.

Vancouver:

Trahan RE. The Phase Retrieval Problem and Its Applications in Optics. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2017 Oct 21]. Available from: http://hdl.handle.net/1969.1/153923.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Trahan RE. The Phase Retrieval Problem and Its Applications in Optics. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153923

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

24. Orozco Rodr´ıguez, Jos´e Alberto. Regularization methods for inverse problems.

Degree: PhD, Mathematics, 2011, University of Minnesota

 Many applications in industry and science require the solution of an inverse problem. To obtain a stable estimate of the solution of such problems, it… (more)

Subjects/Keywords: Ill-posed problems; Inverse problems; Maximum entropy solution; Multiplicative regularization; Regularization; Stability; Mathematics

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APA (6th Edition):

Orozco Rodr´ıguez, J. A. (2011). Regularization methods for inverse problems. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/104604

Chicago Manual of Style (16th Edition):

Orozco Rodr´ıguez, Jos´e Alberto. “Regularization methods for inverse problems.” 2011. Doctoral Dissertation, University of Minnesota. Accessed October 21, 2017. http://purl.umn.edu/104604.

MLA Handbook (7th Edition):

Orozco Rodr´ıguez, Jos´e Alberto. “Regularization methods for inverse problems.” 2011. Web. 21 Oct 2017.

Vancouver:

Orozco Rodr´ıguez JA. Regularization methods for inverse problems. [Internet] [Doctoral dissertation]. University of Minnesota; 2011. [cited 2017 Oct 21]. Available from: http://purl.umn.edu/104604.

Council of Science Editors:

Orozco Rodr´ıguez JA. Regularization methods for inverse problems. [Doctoral Dissertation]. University of Minnesota; 2011. Available from: http://purl.umn.edu/104604


Cornell University

25. Brigham, John. COMPUTATIONAL INVERSE SOLUTION STRATEGIES FOR VISCOELASTIC MATERIAL CHARACTERIZATION USING VIBROACOUSTIC METHODS .

Degree: 2008, Cornell University

 Vibroacoustic testing methods are those in which a fluid immersed solid is excited by a remote force, while the resulting acoustic emission in the surrounding… (more)

Subjects/Keywords: viscoelasticity; inverse problems; surrogate-model; random search; proper orthogonal decomposition; optimization

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APA (6th Edition):

Brigham, J. (2008). COMPUTATIONAL INVERSE SOLUTION STRATEGIES FOR VISCOELASTIC MATERIAL CHARACTERIZATION USING VIBROACOUSTIC METHODS . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/10904

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Brigham, John. “COMPUTATIONAL INVERSE SOLUTION STRATEGIES FOR VISCOELASTIC MATERIAL CHARACTERIZATION USING VIBROACOUSTIC METHODS .” 2008. Thesis, Cornell University. Accessed October 21, 2017. http://hdl.handle.net/1813/10904.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Brigham, John. “COMPUTATIONAL INVERSE SOLUTION STRATEGIES FOR VISCOELASTIC MATERIAL CHARACTERIZATION USING VIBROACOUSTIC METHODS .” 2008. Web. 21 Oct 2017.

Vancouver:

Brigham J. COMPUTATIONAL INVERSE SOLUTION STRATEGIES FOR VISCOELASTIC MATERIAL CHARACTERIZATION USING VIBROACOUSTIC METHODS . [Internet] [Thesis]. Cornell University; 2008. [cited 2017 Oct 21]. Available from: http://hdl.handle.net/1813/10904.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Brigham J. COMPUTATIONAL INVERSE SOLUTION STRATEGIES FOR VISCOELASTIC MATERIAL CHARACTERIZATION USING VIBROACOUSTIC METHODS . [Thesis]. Cornell University; 2008. Available from: http://hdl.handle.net/1813/10904

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Cornell University

26. Diaz Martinez, Manuel. A Modified Error In Constitutive Equation Approach For Viscoelasticity Imaging With Interior Data .

Degree: 2015, Cornell University

 This thesis presents the formulation and implementation details of a method based on the modified error in constitutive equation to address the viscoelasticity imaging problem… (more)

Subjects/Keywords: inverse problems; elasticity imaging; viscoelasticity; materials identification; optimization

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APA (6th Edition):

Diaz Martinez, M. (2015). A Modified Error In Constitutive Equation Approach For Viscoelasticity Imaging With Interior Data . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/39382

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Diaz Martinez, Manuel. “A Modified Error In Constitutive Equation Approach For Viscoelasticity Imaging With Interior Data .” 2015. Thesis, Cornell University. Accessed October 21, 2017. http://hdl.handle.net/1813/39382.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Diaz Martinez, Manuel. “A Modified Error In Constitutive Equation Approach For Viscoelasticity Imaging With Interior Data .” 2015. Web. 21 Oct 2017.

Vancouver:

Diaz Martinez M. A Modified Error In Constitutive Equation Approach For Viscoelasticity Imaging With Interior Data . [Internet] [Thesis]. Cornell University; 2015. [cited 2017 Oct 21]. Available from: http://hdl.handle.net/1813/39382.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Diaz Martinez M. A Modified Error In Constitutive Equation Approach For Viscoelasticity Imaging With Interior Data . [Thesis]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/39382

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Utah

27. Addepalli, Bhagirath. Flow and dispersion in urban areas: experimental investigation, event reconstruction, and form optimization.

Degree: PhD, Mechanical Engineering, 2016, University of Utah

 The present work focuses on developing a holistic understanding of flow and dispersion in urban environments. Toward this end, ideas are drawn from the fields… (more)

Subjects/Keywords: genetic algorithms; inverse problems; PIV; source inversion; street canyon; urban optimization

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APA (6th Edition):

Addepalli, B. (2016). Flow and dispersion in urban areas: experimental investigation, event reconstruction, and form optimization. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4115/rec/1044

Chicago Manual of Style (16th Edition):

Addepalli, Bhagirath. “Flow and dispersion in urban areas: experimental investigation, event reconstruction, and form optimization.” 2016. Doctoral Dissertation, University of Utah. Accessed October 21, 2017. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4115/rec/1044.

MLA Handbook (7th Edition):

Addepalli, Bhagirath. “Flow and dispersion in urban areas: experimental investigation, event reconstruction, and form optimization.” 2016. Web. 21 Oct 2017.

Vancouver:

Addepalli B. Flow and dispersion in urban areas: experimental investigation, event reconstruction, and form optimization. [Internet] [Doctoral dissertation]. University of Utah; 2016. [cited 2017 Oct 21]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4115/rec/1044.

Council of Science Editors:

Addepalli B. Flow and dispersion in urban areas: experimental investigation, event reconstruction, and form optimization. [Doctoral Dissertation]. University of Utah; 2016. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4115/rec/1044

28. Heino, Jenni. Approaches for Modelling and Reconstruction in Optical Tomography in the Presence of Anisotropies.

Degree: 2005, Helsinki University of Technology

In this thesis, models for light propagation and solution methods for the inverse problem in medical optical tomography (OT) in the presence of anisotropies are… (more)

Subjects/Keywords: optical tomography; medical imaging; anisotropies; inverse problems; finite elements

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APA (6th Edition):

Heino, J. (2005). Approaches for Modelling and Reconstruction in Optical Tomography in the Presence of Anisotropies. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/2005/isbn9512276690/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Heino, Jenni. “Approaches for Modelling and Reconstruction in Optical Tomography in the Presence of Anisotropies.” 2005. Thesis, Helsinki University of Technology. Accessed October 21, 2017. http://lib.tkk.fi/Diss/2005/isbn9512276690/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Heino, Jenni. “Approaches for Modelling and Reconstruction in Optical Tomography in the Presence of Anisotropies.” 2005. Web. 21 Oct 2017.

Vancouver:

Heino J. Approaches for Modelling and Reconstruction in Optical Tomography in the Presence of Anisotropies. [Internet] [Thesis]. Helsinki University of Technology; 2005. [cited 2017 Oct 21]. Available from: http://lib.tkk.fi/Diss/2005/isbn9512276690/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Heino J. Approaches for Modelling and Reconstruction in Optical Tomography in the Presence of Anisotropies. [Thesis]. Helsinki University of Technology; 2005. Available from: http://lib.tkk.fi/Diss/2005/isbn9512276690/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

29. Alahmad, Rami. On inverse problems for left-definite discrete Sturm-Liouville equations.

Degree: PhD, 2010, University of Alabama – Birmingham

We are interested in studying a class of discrete Sturm-Liouville problems called left-definite problems corresponding to a positive definite quadratic form associated with the left… (more)

Subjects/Keywords: Sturm-Liouville equation <; br>; Inverse problems (Differential equations)

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APA (6th Edition):

Alahmad, R. (2010). On inverse problems for left-definite discrete Sturm-Liouville equations. (Doctoral Dissertation). University of Alabama – Birmingham. Retrieved from http://contentdm.mhsl.uab.edu/u?/etd,840

Chicago Manual of Style (16th Edition):

Alahmad, Rami. “On inverse problems for left-definite discrete Sturm-Liouville equations.” 2010. Doctoral Dissertation, University of Alabama – Birmingham. Accessed October 21, 2017. http://contentdm.mhsl.uab.edu/u?/etd,840.

MLA Handbook (7th Edition):

Alahmad, Rami. “On inverse problems for left-definite discrete Sturm-Liouville equations.” 2010. Web. 21 Oct 2017.

Vancouver:

Alahmad R. On inverse problems for left-definite discrete Sturm-Liouville equations. [Internet] [Doctoral dissertation]. University of Alabama – Birmingham; 2010. [cited 2017 Oct 21]. Available from: http://contentdm.mhsl.uab.edu/u?/etd,840.

Council of Science Editors:

Alahmad R. On inverse problems for left-definite discrete Sturm-Liouville equations. [Doctoral Dissertation]. University of Alabama – Birmingham; 2010. Available from: http://contentdm.mhsl.uab.edu/u?/etd,840

30. Frederick, Christina A. Numerical methods for multiscale inverse problems.

Degree: Mathematics, 2014, University of Texas – Austin

 This dissertation focuses on inverse problems for partial differential equations with multiscale coefficients in which the goal is to determine the coefficients in the equation… (more)

Subjects/Keywords: Inverse problems; Multiscale modeling

inverse homogenization problems. We prove that in certain cases where the specific form of the… …homogenization theory for partial differential equations and classical theory of inverse problems. The… …applications to inverse problems arising in exploration seismology and medical imaging. viii Table… …inverse problems 5.1 Inversion using PDE-constrained optimization . . . . . . . . 5.2 Multiscale… …89 xiv Chapter 1 Introduction This dissertation focuses on inverse problems for… 

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APA (6th Edition):

Frederick, C. A. (2014). Numerical methods for multiscale inverse problems. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/24819

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Frederick, Christina A. “Numerical methods for multiscale inverse problems.” 2014. Thesis, University of Texas – Austin. Accessed October 21, 2017. http://hdl.handle.net/2152/24819.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Frederick, Christina A. “Numerical methods for multiscale inverse problems.” 2014. Web. 21 Oct 2017.

Vancouver:

Frederick CA. Numerical methods for multiscale inverse problems. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2017 Oct 21]. Available from: http://hdl.handle.net/2152/24819.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Frederick CA. Numerical methods for multiscale inverse problems. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/24819

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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