Skip navigation
  • Home
  • Browse
    • Communities
      & Collections
    • Browse Items by:
    • Publication Date
    • Author
    • Title
    • Subject
    • Department
  • Sign on to:
    • My MacSphere
    • Receive email
      updates
    • Edit Profile


McMaster University Home Page
  1. MacSphere
  2. Open Access Dissertations and Theses Community
  3. Open Access Dissertations and Theses
Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/5661
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorTorre, Della E.en_US
dc.contributor.authorKinsner, Witolden_US
dc.date.accessioned2014-06-18T16:32:33Z-
dc.date.available2014-06-18T16:32:33Z-
dc.date.created2009-08-10en_US
dc.date.issued1974-03en_US
dc.identifier.otheropendissertations/1009en_US
dc.identifier.other1589en_US
dc.identifier.other931152en_US
dc.identifier.urihttp://hdl.handle.net/11375/5661-
dc.description.abstract<p>The purpose of this thesis is to present a unified treatment of numerical solutions to the elliptic partial differential equations, particularly the Laplace, Poisson, and Helmholtz equations, in homogeneous and inhomogeneous isotropic media in electrostatic, magnetostatic, and electromagnetic field problems, with particular attention given to iterative solutions. Another objective is to design a family of methods for accelerating the convergence of these solutions. The concept of the convergence acceleration is generalized to deterministic and stochastic vector sequences. Several hybrid methods, combining the finite difference and finite element approaches, are proposed. The methods have been tested either by test examples or by practical solutions to field problems.</p>en_US
dc.subjectElectrical and Electronicsen_US
dc.subjectElectrical and Electronicsen_US
dc.titleConvergence Acceleration in Numerical Methodsen_US
dc.typethesisen_US
dc.contributor.departmentElectrical Engineeringen_US
dc.description.degreeDoctor of Philosophy (PhD)en_US
Appears in Collections:Open Access Dissertations and Theses

Files in This Item:
File SizeFormat 
fulltext.pdf
Open Access
5.76 MBAdobe PDFView/Open
Show simple item record Statistics


Items in MacSphere are protected by copyright, with all rights reserved, unless otherwise indicated.

Sherman Centre for Digital Scholarship     McMaster University Libraries
©2022 McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4L8 | 905-525-9140 | Contact Us | Terms of Use & Privacy Policy | Feedback

Report Accessibility Issue