Sensitivity Analysis of Differential-Algebraic Equations and Partial Differential Equations

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Sensitivity analysis generates essential information for model development, design optimization, parameter estimation, optimal control, model reduction and experimental design. In this paper we describe the forward and adjoint methods for sensitivity analysis, and outline some of our recent work on theory, algorithms and software for sensitivity analysis of differential-algebraic equation (DAE) and time-dependent partial differential equation (PDE) systems.

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8 p. (0.2 MB)

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Petzold, L; Cao, Y; Li, S & Serban, R August 9, 2005.

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Description

Sensitivity analysis generates essential information for model development, design optimization, parameter estimation, optimal control, model reduction and experimental design. In this paper we describe the forward and adjoint methods for sensitivity analysis, and outline some of our recent work on theory, algorithms and software for sensitivity analysis of differential-algebraic equation (DAE) and time-dependent partial differential equation (PDE) systems.

Physical Description

8 p. (0.2 MB)

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PDF-file: 8 pages; size: 0.2 Mbytes

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  • Presented at: Chemical Process Control (CPC7), Lake Louise, Alberta, Canada, Jan 08 - Jan 13, 2006

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  • Report No.: UCRL-PROC-214507
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 881892
  • Archival Resource Key: ark:/67531/metadc885971

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  • August 9, 2005

Added to The UNT Digital Library

  • Sept. 21, 2016, 2:29 a.m.

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  • April 17, 2017, 2:06 p.m.

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Petzold, L; Cao, Y; Li, S & Serban, R. Sensitivity Analysis of Differential-Algebraic Equations and Partial Differential Equations, article, August 9, 2005; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc885971/: accessed October 15, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.