1. Numerical Data Fitting in Dynamical Systems: a Practical Introduction With Applications and Software (Applied Optimization, 77)
by Schittkowski, Klaus 
Price: USD 278.75
Dealer: Alibris, GridFreed via Alibris
Description: Springer 2002 2002 ed. Hardcover New Size: 9x6x0; New. In shrink wrap. Looks like an interesting title! 

2. NUMERICAL DATA FITTING IN DYNAMI
by Schittkowski, Klaus 
Price: USD 278.75
Dealer: Abebooks, BennettBooksLtd
Description: ISBN10: 1402010796, ISBN13: 9781402010798, [publisher: Springer] Hardcover New. In shrink wrap. Looks like an interesting title! 1.75 [North Las Vegas, NV, U.S.A.] [Publication Year: 2002]  

3. Numerical Data Fitting in Dynamical Systems: A Practical Introduction with Applications and Software Applied Optimization 77
by Schittkowski Klaus 
Price: USD 292.69
Dealer: Biblio, GridFreed LLC
Description: Springer. Hardcover. New. New. In shrink wrap. Looks like an interesting title! Springer ISBN 1402010796 9781402010798 [US] 

4. Numerical Data Fitting in Dynamical Systems : A Practical Introduction with Applications and Software
by Klaus Schittkowski 
Price: USD 324.84
Dealer: ZVAB, AHA-BUCH GmbH
Description: ISBN10: 1402010796, ISBN13: 9781402010798, [publisher: Springer US] Hardcover Druck auf Anfrage Neuware - Printed after ordering - Real life phenomena in engineering, natural, or medical sciences are often described by a mathematical model with the goal to analyze numerically the behaviour of the system. Advantages of mathematical models are their cheap availability, the possibility of studying extreme situations that cannot be handled by experiments, or of simulating real systems during the design phase before constructing a first prototype. Moreover, they serve to verify decisions, to avoid expensive and time consuming experimental tests, to analyze, understand, and explain the behaviour of systems, or to optimize design and production. As soon as a mathematical model contains differential dependencies from an additional parameter, typically the time, we call it a dynamical model. There are two key questions always arising in a practical environment: 1 Is the mathematical model correct 2 How can I quantify model parameters that cannot be measured directly In principle, both questions are easily answered as soon as some experimental data are available. The idea is to compare measured data with predicted model function values and to minimize the differences over the whole parameter space. We have to reject a model if we are unable to find a reasonably accurate fit. To summarize, parameter estimation or data fitting, respectively, is extremely important in all practical situations, where a mathematical model and corresponding experimental data are available to describe the behaviour of a dynamical system. [Einbeck, Germany] [Publication Year: 2002]  

5. Numerical Data Fitting in Dynamical Systems : A Practical Introduction with Applications and Software
by Klaus Schittkowski 
Price: USD 355.36
Dealer: AbebooksDE, AHA-BUCH GmbH
Description: ISBN10: 1402010796, ISBN13: 9781402010798, [publisher: Springer US] Hardcover Druck auf Anfrage Neuware - Printed after ordering - Real life phenomena in engineering, natural, or medical sciences are often described by a mathematical model with the goal to analyze numerically the behaviour of the system. Advantages of mathematical models are their cheap availability, the possibility of studying extreme situations that cannot be handled by experiments, or of simulating real systems during the design phase before constructing a first prototype. Moreover, they serve to verify decisions, to avoid expensive and time consuming experimental tests, to analyze, understand, and explain the behaviour of systems, or to optimize design and production. As soon as a mathematical model contains differential dependencies from an additional parameter, typically the time, we call it a dynamical model. There are two key questions always arising in a practical environment: 1 Is the mathematical model correct 2 How can I quantify model parameters that cannot be measured directly In principle, both questions are easily answered as soon as some experimental data are available. The idea is to compare measured data with predicted model function values and to minimize the differences over the whole parameter space. We have to reject a model if we are unable to find a reasonably accurate fit. To summarize, parameter estimation or data fitting, respectively, is extremely important in all practical situations, where a mathematical model and corresponding experimental data are available to describe the behaviour of a dynamical system. [Einbeck, Germany] [Publication Year: 2002]  

6. Numerical Data Fitting in Dynamical Systems: A Practical Introduction with Applications and Software Applied Optimization
by Klaus Schittkowski 
Price: USD 460.00
Dealer: Biblio, Ergodebooks
Description: Springer, Date: 2002-12-31. 2003. Hardcover. Used:Good. 2002. Springer ISBN 1402010796 9781402010798 [US]