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Process Systems Engineering Laboratory

Process Systems Engineering Laboratory

PSEL@MIT

Biblio Author: William F. Feehery

  • 1999
    Paul I. Barton, William F. Feehery
    1999

    Dynamic Optimization with Equality Path Constraints

    Industrial & Engineering Chemistry Research
    38
    :
    2350-2363
  • 1999
    Paul I. Barton, Santos Galán, William F. Feehery
    1999

    Parametric sensitivity functions for hybrid discrete/continuous systems

    Applied Numerical Mathematics
    31
    :
    17 – 47
  • 1998
    Paul I. Barton, William F. Feehery
    1998

    Dynamic optimization with state variable path constraints

    Computers & Chemical Engineering
    22
    :
    1241 – 1256
  • 1997
    John E. Tolsma, Paul I. Barton, William F. Feehery
    1997

    Efficient sensitivity analysis of large-scale differential-algebraic systems

    Applied Numerical Mathematics
    25
    :
    41 – 54
  • 1996
    Paul I. Barton, William F. Feehery
    1996

    Dynamic simulation and optimization with inequality path constraints

    Computers & Chemical Engineering
    20
    :
    S707 – S712
  • 1996
    Andreas Griewank, Christian Bischof, George F. Corliss, Martin Berz, Paul I. Barton, William F. Feehery
    1996

    A Differentiation-Based Approach to Dynamic Simulation and Optimization with High-Index Differential-Algebraic Equations

    Proceedings of the second internation workshop on Computational Differentiation
  • 1999
    Paul I. Barton, Russell J. Allgor, Santos Galán, William F. Feehery
    1999

    Dynamic Optimization in a Discontinuous World

    Industrial & Engineering Chemistry Research
    37
    :
    966-981

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Recent Publications

  • •

    Level sets of nonsmooth functions, part 2: Lipschitz and piecewise-differentiable manifolds

  • •

    Evaluating Economic Feasibility of Liquid Air Energy Storage Systems in Future US Electricity Markets

  • •

    Tighter Bounds on Transient Moments of Stochastic Chemical Systems

  • •

    Generalized derivatives of optimal-value functions with parameterized convex programs embedded

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