## System modelling and optimization |

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### Contents

Invited Lectures | 1 |

How to Cope with Grey Part of Management System Modelling | 14 |

Control Problems under Insufficient Information | 29 |

Copyright | |

40 other sections not shown

### Other editions - View all

System Modelling and Optimization: Proceedings of the 13th IFIP Conference ... Masao Iri,Keiji Yajima No preview available - 1988 |

### Common terms and phrases

0-convex algorithm analysis application assume assumption bound boundary branch and bound calculated cells coefficients Computational Geometry considered constraints convergence convex polygons convex sets corresponding cost coverage Monte Carlo defined degeneracy denote derived diameter differential distributed parameter systems distribution domain dynamic electric elements enthalpy equations estimator evaluation example exists feasible Figure finite flow forest formulation given gradient heat IEEE input intersection iteration Japan Lemma linear programming load Markov process mathematical matrix method minimization Monte Carlo method node objective function obtained operation optimal values optimization problem output paper parameters pareto optimal perturbation polygons polynomial procedure production programming problem properties quadratic ray tracing reliability respectively satisfied secondary energy sequence shape optimization simulation solved step stochastic structure Theorem variables vector Vorb(G Voronoi diagram voxel