AIChE Symposium Series, Volume 91, Issue 304American Institute of Chemical Engineers, 1972 - Chemical engineering |
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Page 80
... problem is significant ( 30.6 % ) . This reduction can be attributed to the elimina- tion of the thermodynamic bottlenecks imposed on S1 when its target composition is fixed at its upper bound . In- deed , in the variable target problem ...
... problem is significant ( 30.6 % ) . This reduction can be attributed to the elimina- tion of the thermodynamic bottlenecks imposed on S1 when its target composition is fixed at its upper bound . In- deed , in the variable target problem ...
Page 169
... problem in constrained data fitting . Then a nonlinear programming problem derived from an optimal control problem is described , followed by a non- linear least squares example . Sparse Nonlinear Optimization The NLP Problem Let us ...
... problem in constrained data fitting . Then a nonlinear programming problem derived from an optimal control problem is described , followed by a non- linear least squares example . Sparse Nonlinear Optimization The NLP Problem Let us ...
Page 215
... problem in X L ( X ) = = F ( X ) + a ( XLBD – X ) ( XUBD – X ) - F ( X ) L ( X ) X F ( X ) L ( X ) Figure 8. Geometric interpretation of branch and bound with ( D.C. ) . Global Optimization Tools and Computational Experience Global ...
... problem in X L ( X ) = = F ( X ) + a ( XLBD – X ) ( XUBD – X ) - F ( X ) L ( X ) X F ( X ) L ( X ) Figure 8. Geometric interpretation of branch and bound with ( D.C. ) . Global Optimization Tools and Computational Experience Global ...
Contents
Keynote Address | 1 |
Separation System Synthesis and Design | 7 |
Modeling and Analysis of Multicomponent Separation Processes | 19 |
Copyright | |
29 other sections not shown
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acetic acid activities AIChE algorithm alternatives analysis application approach attainable region azeotrope azeotropic distillation batch branch and bound calculations cess Chem Chemical Engineering chemical process complex components composition concepts constraints cost CSTR data models decision-mapping defined described developed distillation column dynamic energy Engng environment equations equilibrium equipment example feed Figure Floudas flow flowsheet formulation function global optimization Grossmann hierarchical implementation industrial integration interface linear liquid logic mass material mathematical methanol methods methyl acetate MILP MINLP mixture n-dim network synthesis Newton's method nonlinear nonlinear programming paper parameters phase pinch plant pressure problem procedure process design process modelling process synthesis programming properties reac reaction reactive distillation reactor network recycle Seider separation system SimRefinery simulation solution solvent solving specific stage strategy stream structure target task techniques temperature tion unit operations values vapor variables