A study of integration algorithms in chemical and physiological system dynamics

Simple item page
dc.contributor.advisorMotard, Rodolphe L.
dc.contributor.committeeMemberKay, Franklin J.
dc.contributor.committeeMemberFlumerfelt, Raymond W.
dc.creatorCastellanos, Francisco SahagĂșn
dc.date.accessioned2023-01-17T21:26:04Z
dc.date.available2023-01-17T21:26:04Z
dc.date.issued1974
dc.description.abstractSolution of many chemical engineering problems requires the use of numerical integration techniques. The most popular integration technique for such problems is the classical fourth order Runge-Kutta that in some cases can be used only with very low efficiency. In the last few years new methods have been developed which seem to be efficient for regular and stiff problems. Some of these new methods were compared in the solution of chemical and physiological systems. The program written by C. W. Gear, which includes two slightly different algorithms for stiff systems and a third algorithm for regular systems was found to be the most stable and efficient in all cases.
dc.description.departmentChemical and Biomolecular Engineering, Department of
dc.format.digitalOriginreformatted digital
dc.format.mimetypeapplication/pdf
dc.identifier.other13638262
dc.identifier.urihttps://hdl.handle.net/10657/13582
dc.language.isoen
dc.rightsThis item is protected by copyright but is made available here under a claim of fair use (17 U.S.C. Section 107) for non-profit research and educational purposes. Users of this work assume the responsibility for determining copyright status prior to reusing, publishing, or reproducing this item for purposes other than what is allowed by fair use or other copyright exemptions. Any reuse of this item in excess of fair use or other copyright exemptions requires express permission of the copyright holder.
dc.titleA study of integration algorithms in chemical and physiological system dynamics
dc.type.dcmiText
dc.type.genreThesis
thesis.degree.collegeCullen College of Engineering
thesis.degree.departmentChemical Engineering, Department of
thesis.degree.disciplineChemical Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Castellanos_1974_13638262.pdf
Size:
16.3 MB
Format:
Adobe Portable Document Format
Download

Collections

Legacy Theses and Dissertations (1940-2009)