AIChE Symposium Series, Issue 323 |
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Page 58
... the objective is a quadratic function while the constraints are linear . Integer programming problems Modeling Languages From the user's point of view , the 58 Algorithms and Software for Linear and Nonlinear Programming Stephen J Wright.
... the objective is a quadratic function while the constraints are linear . Integer programming problems Modeling Languages From the user's point of view , the 58 Algorithms and Software for Linear and Nonlinear Programming Stephen J Wright.
Page 60
... Linear Programming In linear programming problems , we minimize a linear function of real variables over region defined by linear constraints . The problem can be expressed in standard form as min c'x subject to Ax = b , x 20 , In ...
... Linear Programming In linear programming problems , we minimize a linear function of real variables over region defined by linear constraints . The problem can be expressed in standard form as min c'x subject to Ax = b , x 20 , In ...
Page 82
... optimization - based approaches for process synthesis . Comp . Chem . Eng . , 20 , 665-683 . Grossmann , I.E. and Z. Kravanja ( 1997 ) . Mixed - integer nonlinear programming :: A survey of algorithms and applications . The IMA Volumes ...
... optimization - based approaches for process synthesis . Comp . Chem . Eng . , 20 , 665-683 . Grossmann , I.E. and Z. Kravanja ( 1997 ) . Mixed - integer nonlinear programming :: A survey of algorithms and applications . The IMA Volumes ...
Contents
INVITED PAPERS | 1 |
RECENT DEVELOPMENTS | 21 |
The Web and Flow of Information in Pharmaceutical RD | 23 |
Copyright | |
45 other sections not shown
Common terms and phrases
activities addition AIChE algorithm allow alternatives analysis application approach batch bound calculations changes Chem chemical codes column Comp complex components composition computational concepts considered constraints continuous cost defined described detailed determine distillation dynamic economic effect efficient energy engineering equations equipment et al evaluation example experiments feed Figure Floudas flow flowsheet formulation function given global optimization Grossmann heat important improve increase industry integration involved lifecycle linear material mathematical methods molecular networks nonlinear objective obtained operating parameters particle performance phase plant possible predict presented problem procedure process design process modeling programming properties proposed reaction reactor reduced selection separation shown shows simulation solution solved specific stage step strategy structure synthesis techniques temperature types unit variables