{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/69518"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/69518","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Numerical Methods for Smooth Solutions of Ordinary Differential Equations","abstract":"In parameter estimation, the coefficient parameters of a system of differential equations are often determined by error norm minimization. Minimization codes may require that partial derivatives with respect to parameters be evaluated. If the derivatives are obtained by differencing the numerical solution of the differential equations, the smoothness of that solution with respect to parameter changes is crucial to the performance of minimization codes.","abstract_html":"In parameter estimation, the coefficient parameters of a system of differential equations are often determined by error norm minimization. Minimization codes may require that partial derivatives with respect to parameters be evaluated. If the derivatives are obtained by differencing the numerical solution of the differential equations, the smoothness of that solution with respect to parameter changes is crucial to the performance of minimization codes.","abstract_has_math":false,"creators":["Vu, Thu Van"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-12-15T19:25:22Z","date_published":"2014-12-15T19:25:22Z","updated_at":"2026-07-22T22:26:01Z","subjects":["Computer Science"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(UMI)AAI8324667"],"render_values":[{"text":"(UMI)AAI8324667","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/69518","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Vu, Thu Van"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2014-12-15T19:25:22Z","10000-01-01","1983"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Computer Science"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/69518","(UMI)AAI8324667"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["In parameter estimation, the coefficient parameters of a system of differential equations are often determined by error norm minimization. Minimization codes may require that partial derivatives with respect to parameters be evaluated. If the derivatives are obtained by differencing the numerical solution of the differential equations, the smoothness of that solution with respect to parameter changes is crucial to the performance of minimization codes.","This thesis deals with the smoothness of the numerical solution of ordinary differential equations with respect to parameter variations. Numerical methods and techniques are developed to attain smooth solutions along mesh trajectories and at a fixed point in time. The methods are based on modifications of the Runge-Kutta methods and the Taylor's series methods. Error bounds for smooth one-step methods are also obtained. These bounds assure the same order of convergence in the derivatives as in the solution. A smooth, automatic integrator named RKTSOL is written in FORTRAN 77 to implement the methods discussed. Limited numerical results indicate that this code outperforms nonsmooth codes such as RKF45 and LSODE in computing numerical solutions for approximations to partial derivatives with respect to parameters.","Made available in DSpace on 2014-12-15T19:25:22Z (GMT). No. of bitstreams: 1 8324667.pdf: 2687579 bytes, checksum: fb061573833b435bb03110c617ea5baa (MD5) Previous issue date: 1983","Embargo set by: Seth Robbins for item 69684 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","U of I Only","108 p.","Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1983."]},{"key":"dc:title","label":"Title","values":["Numerical Methods for Smooth Solutions of Ordinary Differential Equations"]}]}],"canonical_facts":{"dc:creator":["Vu, Thu Van"],"dc:date":["2014-12-15T19:25:22Z","10000-01-01","1983"],"dc:description":["In parameter estimation, the coefficient parameters of a system of differential equations are often determined by error norm minimization. Minimization codes may require that partial derivatives with respect to parameters be evaluated. If the derivatives are obtained by differencing the numerical solution of the differential equations, the smoothness of that solution with respect to parameter changes is crucial to the performance of minimization codes.","This thesis deals with the smoothness of the numerical solution of ordinary differential equations with respect to parameter variations. Numerical methods and techniques are developed to attain smooth solutions along mesh trajectories and at a fixed point in time. The methods are based on modifications of the Runge-Kutta methods and the Taylor's series methods. Error bounds for smooth one-step methods are also obtained. These bounds assure the same order of convergence in the derivatives as in the solution. A smooth, automatic integrator named RKTSOL is written in FORTRAN 77 to implement the methods discussed. Limited numerical results indicate that this code outperforms nonsmooth codes such as RKF45 and LSODE in computing numerical solutions for approximations to partial derivatives with respect to parameters.","Made available in DSpace on 2014-12-15T19:25:22Z (GMT). No. of bitstreams: 1 8324667.pdf: 2687579 bytes, checksum: fb061573833b435bb03110c617ea5baa (MD5) Previous issue date: 1983","Embargo set by: Seth Robbins for item 69684 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","U of I Only","108 p.","Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1983."],"dc:identifier":["http://hdl.handle.net/2142/69518","(UMI)AAI8324667"],"dc:subject":["Computer Science"],"dc:title":["Numerical Methods for Smooth Solutions of Ordinary Differential Equations"],"dc:type":["text"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:26:01Z"}