{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/19452"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/19452","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"A hybrid direct-iterative linear solver for chemical process simulation","abstract":"This dissertation presents the results of developing a hybrid direct-iterative linear solver to solve the sparse linear equation systems arising in chemical process simulation. The motivation for this work is to enable simulations of large, complex, and realistic models requiring the computing power of high performance machines. The objective is carried out by combining the reliability of direct sparse linear methods (e.g., Gaussian elimination) with the efficiency of iterative sparse linear methods (e.g., Krylov subspace methods). The new hybrid solver is implemented in the SEQUEL-II, ASPEN PLUS$\\sp{\\rm TM}$, and SPEEDUP$\\sp{\\rm TM}$ programs and evaluated in terms of its overall effectiveness in reducing the total simulation time.","abstract_html":"This dissertation presents the results of developing a hybrid direct-iterative linear solver to solve the sparse linear equation systems arising in chemical process simulation. The motivation for this work is to enable simulations of large, complex, and realistic models requiring the computing power of high performance machines. The objective is carried out by combining the reliability of direct sparse linear methods (e.g., Gaussian elimination) with the efficiency of iterative sparse linear methods (e.g., Krylov subspace methods). The new hybrid solver is implemented in the SEQUEL-II, ASPEN PLUS$\\sp{\\rm TM}$, and SPEEDUP$\\sp{\\rm TM}$ programs and evaluated in terms of its overall effectiveness in reducing the total simulation time.","abstract_has_math":true,"creators":["Cofer, Haruna Nakamura"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Chemical Engineering","degree_department":null,"school":null,"contributors":["Stadtherr, Mark A."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-05-07T12:08:01Z","date_published":"2011-05-07T12:08:01Z","updated_at":"2026-07-22T22:25:14Z","subjects":["Engineering, Chemical"],"languages":["eng"],"rights":["Copyright 1995 Cofer, Haruna Nakamura"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["AAI9624321","(UMI)AAI9624321"],"render_values":[{"text":"AAI9624321","href":null,"code":true},{"text":"(UMI)AAI9624321","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/19452","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Stadtherr, Mark A."]},{"key":"dc:creator","label":"Author","values":["Cofer, Haruna Nakamura"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2011-05-07T12:08:01Z","10000-01-01","1995"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Chemical Engineering"]},{"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":["Engineering, Chemical"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 1995 Cofer, Haruna Nakamura"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["AAI9624321","(UMI)AAI9624321","http://hdl.handle.net/2142/19452"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This dissertation presents the results of developing a hybrid direct-iterative linear solver to solve the sparse linear equation systems arising in chemical process simulation. The motivation for this work is to enable simulations of large, complex, and realistic models requiring the computing power of high performance machines. The objective is carried out by combining the reliability of direct sparse linear methods (e.g., Gaussian elimination) with the efficiency of iterative sparse linear methods (e.g., Krylov subspace methods). The new hybrid solver is implemented in the SEQUEL-II, ASPEN PLUS$\\sp{\\rm TM}$, and SPEEDUP$\\sp{\\rm TM}$ programs and evaluated in terms of its overall effectiveness in reducing the total simulation time.","The results of the above computational experiments indicate that the hybrid solver is generally successful in reducing the total solution time of the SEQUEL-II and ASPEN PLUS$\\sp{\\rm TM}$ programs. The effect of the hybrid solver on improving the performance of SPEEDUP$\\sp{\\rm TM}$, though, is not definitive and is still unclear. Further work to improve the performance of the hybrid solver is, however, concluded to be both beneficial and necessary to solve future large-scale problems. In particular, the hybrid strategy may be very well-suited for traditional scalar workstations and symmetric multiprocessing computers.","Made available in DSpace on 2011-05-07T12:08:01Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9624321.pdf: 6031255 bytes, checksum: 78f92e65adb0b2afa34307aac21882ac (MD5) Previous issue date: 1995","Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:37:03Z Item is restricted indefinitely.","Restriction data tranferred 2014-07-01T11:15:10-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission","ETDs are only available to UIUC Users without author permission","U of I Only"]},{"key":"dc:title","label":"Title","values":["A hybrid direct-iterative linear solver for chemical process simulation"]}]}],"canonical_facts":{"dc:contributor":["Stadtherr, Mark A."],"dc:creator":["Cofer, Haruna Nakamura"],"dc:date":["2011-05-07T12:08:01Z","10000-01-01","1995"],"dc:description":["This dissertation presents the results of developing a hybrid direct-iterative linear solver to solve the sparse linear equation systems arising in chemical process simulation. The motivation for this work is to enable simulations of large, complex, and realistic models requiring the computing power of high performance machines. The objective is carried out by combining the reliability of direct sparse linear methods (e.g., Gaussian elimination) with the efficiency of iterative sparse linear methods (e.g., Krylov subspace methods). The new hybrid solver is implemented in the SEQUEL-II, ASPEN PLUS$\\sp{\\rm TM}$, and SPEEDUP$\\sp{\\rm TM}$ programs and evaluated in terms of its overall effectiveness in reducing the total simulation time.","The results of the above computational experiments indicate that the hybrid solver is generally successful in reducing the total solution time of the SEQUEL-II and ASPEN PLUS$\\sp{\\rm TM}$ programs. The effect of the hybrid solver on improving the performance of SPEEDUP$\\sp{\\rm TM}$, though, is not definitive and is still unclear. Further work to improve the performance of the hybrid solver is, however, concluded to be both beneficial and necessary to solve future large-scale problems. In particular, the hybrid strategy may be very well-suited for traditional scalar workstations and symmetric multiprocessing computers.","Made available in DSpace on 2011-05-07T12:08:01Z (GMT). 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