Nonlinear Programming Strategies for Source Detection of Municipal Water Networks

World Water and Environmental Resources Congress

Volumn , Issue , 2003, Pages 1853-1862

  Van Bloemen Waanders, Bart G ^a   Bartlett, Roscoe A ^a   Biegler, Lorenz T ^b   Laird, Carl D ^b  

^a SANDIA NATIONAL LABORATORIES   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

OBJECTIVE FUNCTIONS; WATER MANAGEMENT;

ALGORITHMS; COMPUTATIONAL METHODS; COMPUTER SIMULATION; FUNCTION EVALUATION; GRADIENT METHODS; INVERSE PROBLEMS; LAGRANGE MULTIPLIERS; MUNICIPAL ENGINEERING; NONLINEAR PROGRAMMING; SENSITIVITY ANALYSIS;

WATER SUPPLY SYSTEMS;

EID: 0942268556     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. R.J. Balling and J. Sobieszczanski-Sobieski. Optimization of couple systems: A critical overview of approaches. Technical Report 94-100, NASA ICASE Tech. Rep 94-100, Institute for Computer Applications in Science and Engineering, 1994.
2. Jonathan Berry, Lisa Fleischer, William Hart, and Cynthia Phillips. Optimal sensor placement in municipal water networks. In Proceedings of EWRI, Philadelphia, PA, June 22-26 2003.
3. L. T. Biegler, J. Nocedal, and C. Schmid. A reduced hessian method for large-scale constrained optimization. SIAM J. Opt., 5:314, 1995.
4. G. Biros and O. Ghattas. Parallel preconditioners for KKT systems arising in optimal control of viscous incompressible flows. In Proceedings of Parallel CFD '99, Williamsburg, VA, May 23-26, 1999, Amsterdam, London, New-York, 1999. North Holland, http://www.ca.cmu.edu/̃oghattas/.
5. M.S. Eldred, A.A. Giunta, B.G. van Bloemen Waanders, S.F. Wojtkiewicz, W.E. Hart, and M.P. Alleva. Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis, version 3.0 users manual. Technical report SAND2001-3796, Sandia National Laboratories, Albuquerque, New Mexico 87185 and Livermore, California 94550, April 2001.
6. Shengtai Li and Linda Petzold. Software and algorithms for sensitivity analysis of large-scale differential algebraic systems. Journal of Computational and Applied Mathematics, 2000.
7. S. K. Nadarajah and A. Jameson J. Alonso. An adjoint method for the calculation of remote sensitivities in supersonic flow. In AIAA-2002-0261. AIAA, 2002.
8. P.A. Newman, G. J. WHou, and A.C. Taylor. Observations regarding use of advanced analysis, sensitivity analysis, and design codes in cfd. Technical Report 96-16, NASA ICASE, Institute for Computer Applications in Science and Engineering, 1996.
9. L.W. Rossman. Epanet 2. Technical report, EPA, 2000.
10. F. Shang, J. Uber, and M. Polycarpou. A particle backtracking algorithm for water distribution systems analysis. A.S.C.E. Journal of Environmental Eng, 2002.
11. M. Tryby, D. Boccelli, J. Uber, and L. Rossman. A facility location model for booster disinfection of water supply networks. A.S.C.E. Journal of Water Resources Planning and Manag., 2002.
12. B.G van Bloemen Waanders, R.A. Bartlett, K.R. Long, P.T. Boggs, and A.G. Salinger. Large scale non-linear programming for pde constrained optimization. Technical report, Sandia National Laboroatories, 2002.
13. Y.Cao, S.Li, L. Petzold, and R.Serban. Adjoint sensitivity analysis for differential algebraic equations: Part i, the adjoint dae system. 2000.
14. M.L. Zierolf, M.M. Polycarpou, and J.G. Uber. Development and auto- calibration of an input-output model of chlorine transport in drinking water distribution systems. In I.E.E.E. Trans. on Control Systems Technology.