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University of Melbourne

1. SOKOLOV, ANDREY. Application of non-equilibrium statistical mechanics to the analysis of problems in financial markets and economy.

Degree: 2014, University of Melbourne

URL: http://hdl.handle.net/11343/44218

► This thesis contributes to a growing body of work in the emerging inter- disciplinary field of econophysics, where tools and techniques of statistical mechanics and…
(more)

Subjects/Keywords: econophysics; financial networks; wealth inequality; multi-agent simulations; Abelian sandpiles

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

APA (6^{th} Edition):

SOKOLOV, A. (2014). Application of non-equilibrium statistical mechanics to the analysis of problems in financial markets and economy. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/44218

Chicago Manual of Style (16^{th} Edition):

SOKOLOV, ANDREY. “Application of non-equilibrium statistical mechanics to the analysis of problems in financial markets and economy.” 2014. Doctoral Dissertation, University of Melbourne. Accessed January 26, 2020. http://hdl.handle.net/11343/44218.

MLA Handbook (7^{th} Edition):

SOKOLOV, ANDREY. “Application of non-equilibrium statistical mechanics to the analysis of problems in financial markets and economy.” 2014. Web. 26 Jan 2020.

Vancouver:

SOKOLOV A. Application of non-equilibrium statistical mechanics to the analysis of problems in financial markets and economy. [Internet] [Doctoral dissertation]. University of Melbourne; 2014. [cited 2020 Jan 26]. Available from: http://hdl.handle.net/11343/44218.

Council of Science Editors:

SOKOLOV A. Application of non-equilibrium statistical mechanics to the analysis of problems in financial markets and economy. [Doctoral Dissertation]. University of Melbourne; 2014. Available from: http://hdl.handle.net/11343/44218

University of Tasmania

2.
Mitchell, JD.
Distinguishing convergence on phylogenetic * networks*.

Degree: 2016, University of Tasmania

URL: https://eprints.utas.edu.au/23068/1/Mitchell_whole_thesis.pdf

► In phylogenetics, the evolutionary history of a group of taxa, for example, groups of species, genera or subspecies, can be modelled using a phylogenetic tree.…
(more)

Subjects/Keywords: phylogenetics; phylogenetic networks; convergence; identifiability; Markov models; algebraic geometry; abelian groups; phylogenetic tensors

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

APA (6^{th} Edition):

Mitchell, J. (2016). Distinguishing convergence on phylogenetic networks. (Thesis). University of Tasmania. Retrieved from https://eprints.utas.edu.au/23068/1/Mitchell_whole_thesis.pdf

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Mitchell, JD. “Distinguishing convergence on phylogenetic networks.” 2016. Thesis, University of Tasmania. Accessed January 26, 2020. https://eprints.utas.edu.au/23068/1/Mitchell_whole_thesis.pdf.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Mitchell, JD. “Distinguishing convergence on phylogenetic networks.” 2016. Web. 26 Jan 2020.

Vancouver:

Mitchell J. Distinguishing convergence on phylogenetic networks. [Internet] [Thesis]. University of Tasmania; 2016. [cited 2020 Jan 26]. Available from: https://eprints.utas.edu.au/23068/1/Mitchell_whole_thesis.pdf.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mitchell J. Distinguishing convergence on phylogenetic networks. [Thesis]. University of Tasmania; 2016. Available from: https://eprints.utas.edu.au/23068/1/Mitchell_whole_thesis.pdf

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

3.
Hauser, Michael.
Principles of Riemannian Geometry in Neural * Networks*.

Degree: 2018, Penn State University

URL: https://etda.libraries.psu.edu/catalog/15068mzh190

► The first part of this dissertation deals with neural *networks* in the sense of geometric transformations acting on the coordinate representation of the underlying data…
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Subjects/Keywords: Neural networks; Algebraic geometry; Riemannian manifolds; Machine learning; Non-abelian gauge theories

Record Details Similar Records

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

APA (6^{th} Edition):

Hauser, M. (2018). Principles of Riemannian Geometry in Neural Networks. (Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/15068mzh190

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Hauser, Michael. “Principles of Riemannian Geometry in Neural Networks.” 2018. Thesis, Penn State University. Accessed January 26, 2020. https://etda.libraries.psu.edu/catalog/15068mzh190.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hauser, Michael. “Principles of Riemannian Geometry in Neural Networks.” 2018. Web. 26 Jan 2020.

Vancouver:

Hauser M. Principles of Riemannian Geometry in Neural Networks. [Internet] [Thesis]. Penn State University; 2018. [cited 2020 Jan 26]. Available from: https://etda.libraries.psu.edu/catalog/15068mzh190.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hauser M. Principles of Riemannian Geometry in Neural Networks. [Thesis]. Penn State University; 2018. Available from: https://etda.libraries.psu.edu/catalog/15068mzh190

Not specified: Masters Thesis or Doctoral Dissertation

4.
Chan, Swee Hong.
Nonhalting *abelian* * networks*
.

Degree: 2019, Cornell University

URL: http://hdl.handle.net/1813/67434

► An *abelian* network is a collection of communicating automata whose state transitions and message passing each satisfy a local commutativity condition. The foundational theory for…
(more)

Subjects/Keywords: Critical group; rotor-routing; Mathematics; abelian distributed processors; abelian networks; chip-firing

…torsion group of a nonhalting *abelian* network . .
1.6 Critical *networks*… …1.7 Sandpile *networks* . . . . . . . . . . . . . . . . . . . .
1.8 Rotor *networks* and *abelian*… …22
3 *Abelian* *Networks*
3.1 *Abelian* *Networks* . . . . . . . . . . .
3.2 Legal and complete… …processor.” [31]
Examples of *abelian* *networks* have been studied by different authors… …*abelian* *networks* (specifically sandpile *networks*) are used as examples of models that…

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

APA (6^{th} Edition):

Chan, S. H. (2019). Nonhalting abelian networks . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/67434

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Chan, Swee Hong. “Nonhalting abelian networks .” 2019. Thesis, Cornell University. Accessed January 26, 2020. http://hdl.handle.net/1813/67434.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Chan, Swee Hong. “Nonhalting abelian networks .” 2019. Web. 26 Jan 2020.

Vancouver:

Chan SH. Nonhalting abelian networks . [Internet] [Thesis]. Cornell University; 2019. [cited 2020 Jan 26]. Available from: http://hdl.handle.net/1813/67434.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chan SH. Nonhalting abelian networks . [Thesis]. Cornell University; 2019. Available from: http://hdl.handle.net/1813/67434

Not specified: Masters Thesis or Doctoral Dissertation