A Monte Carlo technique using a fast repetitive analog computer for determining lowest eigenvalues of partial differential equations for various boundaries with applications
dc.contributor.author | D'Aquanni, Richard Thomas, 1943- | |
dc.creator | D'Aquanni, Richard Thomas, 1943- | en_US |
dc.date.accessioned | 2014-06-03T14:55:16Z | |
dc.date.available | 2014-06-03T14:55:16Z | |
dc.date.issued | 1970 | en_US |
dc.identifier.uri | http://hdl.handle.net/10150/318200 | |
dc.language.iso | en_US | en_US |
dc.publisher | The University of Arizona. | en_US |
dc.rights | Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. | en_US |
dc.subject | Differential equations, Partial. | en_US |
dc.subject | Distribution (Probability theory) | en_US |
dc.subject | Eigenvalues. | en_US |
dc.title | A Monte Carlo technique using a fast repetitive analog computer for determining lowest eigenvalues of partial differential equations for various boundaries with applications | en_US |
dc.type | text | en_US |
dc.type | Thesis-Reproduction (electronic) | en_US |
dc.identifier.oclc | 27203330 | en_US |
thesis.degree.grantor | University of Arizona | en_US |
thesis.degree.level | masters | en_US |
thesis.degree.discipline | Electrical Engineering | en_US |
thesis.degree.discipline | Graduate College | en_US |
thesis.degree.name | M.S. | en_US |
dc.identifier.bibrecord | .b30423892 | en_US |
dc.identifier.callnumber | E9791 1970 278 | en_US |
refterms.dateFOA | 2018-04-26T18:09:13Z |