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    Characteristics Method Using Time‐Line Interpolations 

    Source: Journal of Hydraulic Engineering:;1983:;Volume ( 109 ):;issue: 005
    Author(s): David E. Goldberg; E. Benjamin Wylie
    Publisher: American Society of Civil Engineers
    Abstract: The use of interpolations in time, rather than the more widely used spatial interpolations, demonstrates several benefits in the application of the method of characteristics to wave problems in hydraulics. Two such time‐line ...
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    Quick Stroking: Design of Time‐optimal Valve Motions 

    Source: Journal of Hydraulic Engineering:;1987:;Volume ( 113 ):;issue: 006
    Author(s): David E. Goldberg; Charles L. Karr
    Publisher: American Society of Civil Engineers
    Abstract: Despite major advances in the science of pipeline transient analysis, design for unsteady flow remains largely an art. In this paper, a fast, simple, yet effective technique for valve‐motion synthesis is developed and ...
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    Closure to “<i>Characteristics Method Using Time‐Line Interpolations</i>” by David E. Goldberg and E. Benjamin Wylie (May, 1983) 

    Source: Journal of Hydraulic Engineering:;1984:;Volume ( 110 ):;issue: 007
    Author(s): David E. Goldberg; E. Benjamin Wylie
    Publisher: American Society of Civil Engineers
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    Genetic Algorithms in Pipeline Optimization 

    Source: Journal of Computing in Civil Engineering:;1987:;Volume ( 001 ):;issue: 002
    Author(s): David E. Goldberg; Chie Hsiung Kuo
    Publisher: American Society of Civil Engineers
    Abstract: The application of a genetic algorithm to the steady state optimization of a serial liquid pipeline is considered. Genetic algorithms are search procedures based upon the mechanics of natural genetics, combining a Darwinian ...
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    Adaptive Hybrid Genetic Algorithm for Groundwater Remediation Design 

    Source: Journal of Water Resources Planning and Management:;2005:;Volume ( 131 ):;issue: 001
    Author(s): Felipe P. Espinoza; Barbara S. Minsker; David E. Goldberg
    Publisher: American Society of Civil Engineers
    Abstract: Optimal groundwater remediation design problems are often complex, nonlinear, and computationally intensive. Genetic algorithms allow solution of more complex nonlinear problems than traditional gradient-based approaches, ...
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