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Dynamics of Large Structures and Inverse Problems

Mathematical and Mechanical Engineering Set – Volume 5

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Civil Engineering Structures According to the Eurocodes

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Swelling Concrete in Dams and Hydraulic Structures

DSC 2017

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Earthquake Occurrence

Short- and Long-term Models and their Validation

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The Chemostat

Mathematical Theory of Microorganims Cultures

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From Prognostics and Health Systems Management to Predictive Maintenance 2

Knowledge, Traceability and Decision

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First Hitting Time Regression Models

Lifetime Data Analysis Based on Underlying Stochastic Processes

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The Innovative Company

An Ill-defined Object

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Reading and Writing Knowledge in Scientific Communities

Digital Humanities and Knowledge Construction

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Going Past Limits To Growth

A Report to the Club of Rome EU-Chapter

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Optimization in Engineering Sciences

Exact Methods

Pierre Borne, École Centrale de Lille, France Dumitru Popescu, Politehnica University of Bucharest, Romania Florin Gh. Filip, Romanian Academy Dan Stefanoiu, Politehnica University of Bucharest, Romania

ISBN: 9781848214323

Publication Date: December 2012   Hardback   336 pp.

145.00 USD

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The purpose of this book is to present the main methods of static and dynamic optimization. It has been written within the framework of the European Union project – ERRIC (Empowering Romanian Research on Intelligent Information Technologies), funded by the EU’s FP7 Research Potential program and developed in cooperation between French and Romanian teaching researchers. Through the principles of various proposed algorithms (with additional references) this book allows the interested reader to explore various methods of implementation such as linear programming, nonlinear programming – particularly important given the wide variety of existing algorithms, dynamic programming with various application examples and Hopfield networks. The book examines optimization in relation to systems identification; optimization of dynamic systems with particular application to process control; optimization of large scale and complex systems; optimization and information systems.


1. Linear Programming.
2. Nonlinear Programming.
3. Dynamic Programming.
4. Hopfield Networks.
5. Optimization in System Identification.
6. Optimization of Dynamic Systems.
7. Optimization of Large-Scale Systems.
8. Optimization and Information Systems.

About the Authors

Pierre Borne is Professor at École Centrale de Lille in France. He has received honorary degrees from the University of Moscow, Russia, the Politehnica University of Bucharest, Romania and the University of Waterloo, Canada. He is a Fellow of the IEEE.
Dumitru Popescu is Professor at Politehnica University of Bucharest, Romania in the fields of Advanced Control and Systems Optimization and also Associate Professor at major universities of France and Italy. He is Director of the Research Center in Automatics, Process Control and Computers (APCC) affiliated to Politehnica University of Bucharest, a member of the IFAC Technical Committees for the Control of Bioprocesses and Chemical Processes and a corresponding member of the Romanian Academy of Technical Sciences.
Florin Gh. Filip is a researcher in the fields of applied IT and decision support systems. He was elected as a member of the Romanian Academy in 1991 and president of the “IT” section in 2011. He was Vice President of the Romanian Academy from 2001 to 2010.
Dan Stefanoiu is Professor in the fields of Signal Processing and System Identification at Politehnica University of Bucharest. In 2002 he was elected as a member of the American Romanian Academy of Sciences and Arts (ARA).


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