PDF4PRO ⚡AMP

Modern search engine that looking for books and documents around the web

Example: barber

Nonlinear Programming: Concepts, Algorithms and Applications

Nonlinear Programming: Concepts, Algorithms and ApplicationsL. T. BieglerChemical Engineering DepartmentCarnegie Mellon UniversityPittsburgh, PA 2 IntroductionUnconstrained Optimization Algorithms Newton Methods Quasi-Newton MethodsConstrained Optimization Karush Kuhn- tucker conditions Special Classes of Optimization Problems Reduced Gradient Methods (GRG2, CONOPT, MINOS) Successive Quadratic Programming (SQP) Interior Point MethodsProcess Optimization Black Box Optimization Modular Flowsheet Optimization Infeasible Path The Role of Exact DerivativesLarge-Scale Nonlinear Programming Data Reconciliation Real-time Process OptimizationFurther Applications Sensitivity Analysis for NLP Solutions Multiperiod Optimization ProblemsSummary and ConclusionsNonlinear Programming and Process Optimization3 IntroductionOptimization: given a system or process, find the best solution to this process within Function: indicator of "goodness" of solution, , cost, yield, profit, : variables that influence process behavior and can be adjusted for many cases, this task is done by trial and error (through case study).

• Karush Kuhn-Tucker Conditions • Special Classes of Optimization Problems • Reduced Gradient Methods (GRG2, CONOPT, MINOS) • Successive Quadratic Programming (SQP) • Interior Point Methods Process Optimization • Black Box Optimization • Modular Flowsheet Optimization – Infeasible Path • The Role of Exact Derivatives

Loading..

Tags:

  Conditions, Tucker, Tucker conditions

Information

Domain:

Source:

Link to this page:

Please notify us if you found a problem with this document:

Spam in document Broken preview Other abuse

Transcription of Nonlinear Programming: Concepts, Algorithms and Applications

Related search queries