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Numerical Data Fitting in Dynamical Systems : A Practical Introduction with Applications and Software - Klaus Schittkowski
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Numerical Data Fitting in Dynamical Systems : A Practical Introduction with Applications and Software - hardcover

2002, ISBN: 1402010796

[EAN: 9781402010798], Neubuch, [SC: 0.0], [PU: Springer US], ALGEBRA; HARDWARE; MATHEMATICA; DYNAMICALSYSTEMS; DYNAMISCHESYSTEME; LINEAROPTIMIZATION; MODEL; NONLINEAROPTIMIZATION; NUMERIC… More...

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Numerical Data Fitting in Dynamical Systems
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ISBN: 9781402010798

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 o… More...

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Numerical Data Fitting in Dynamical Systems A Practical Introduction with Applications and Software - Schittkowski, Klaus
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Schittkowski, Klaus:
Numerical Data Fitting in Dynamical Systems A Practical Introduction with Applications and Software - hardcover

2002

ISBN: 1402010796

2002 Gebundene Ausgabe Wahrscheinlichkeitsrechnung und Statistik, Optimierung, Angewandte Mathematik, Mathematische Modellierung, Mathematik für Ingenieure, Algebra; Hardware; Mathemati… More...

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Numerical Data Fitting in Dynamical Systems A Practical Introduction with Applications and Software - Schittkowski, Klaus
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Schittkowski, Klaus:
Numerical Data Fitting in Dynamical Systems A Practical Introduction with Applications and Software - hardcover

2002, ISBN: 1402010796

2002 Gebundene Ausgabe Wahrscheinlichkeitsrechnung und Statistik, Optimierung, Angewandte Mathematik, Mathematische Modellierung, Mathematik für Ingenieure, Algebra; Hardware; Mathemat… More...

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Schittkowski, Klaus:
NUMERICAL DATA FITTING IN DYNAMI - hardcover

2002, ISBN: 1402010796

[EAN: 9781402010798], Neubuch, [PU: Springer], New. In shrink wrap. Looks like an interesting title! 1.75, Books

NEW BOOK. Shipping costs: EUR 41.98 BennettBooksLtd, LOS ANGELES, CA, U.S.A. [52101753] [Rating: 4 (von 5)]

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Details of the book
Numerical Data Fitting in Dynamical Systems

The main objective of the book is to give an overview of numerical methods to compute parameters of a dynamical model by a least squares fit of experimental data. The mathematical equations under consideration are explicit model functions or steady state systems in the simplest case, or responses of dynamical systems defined by ordinary differential equations, differential algebraic equations, partial differential equations, and partial differential algebraic equations (1D). Many different mathematical disciplines must be combined to find a solution, for example nonlinear programming, least squares optimization, systems of nonlinear equations, ordinary differential equations, discretization of partial differential equations, sensitivity analysis, automatic differentiation, and statistics.

Details of the book - Numerical Data Fitting in Dynamical Systems


EAN (ISBN-13): 9781402010798
ISBN (ISBN-10): 1402010796
Hardcover
Publishing year: 2002
Publisher: Springer-Verlag New York Inc.
412 Pages
Weight: 0,777 kg
Language: eng/Englisch

Book in our database since 2007-03-25T18:19:29+01:00 (London)
Detail page last modified on 2023-12-16T13:42:26+00:00 (London)
ISBN/EAN: 9781402010798

ISBN - alternate spelling:
1-4020-1079-6, 978-1-4020-1079-8
Alternate spelling and related search-keywords:
Book author: schittko klaus, schittkowski
Book title: numerical optimization, introduction dynamical systems, fitting


Information from Publisher

Author: Klaus Schittkowski
Title: Applied Optimization; Numerical Data Fitting in Dynamical Systems - A Practical Introduction with Applications and Software
Publisher: Springer; Springer US
396 Pages
Publishing year: 2002-12-31
New York; NY; US
Weight: 0,879 kg
Language: English
320,99 € (DE)
329,99 € (AT)
354,00 CHF (CH)
POD
XII, 396 p. 42 illus.

BB; Numeric Computing; Hardcover, Softcover / Informatik, EDV/Informatik; Numerische Mathematik; Verstehen; Algebra; Fitting; Hardware; Mathematica; dynamical systems; dynamische Systeme; linear optimization; model; nonlinear optimization; numerical methods; optimization; ordinary differential equation; partial differential equation; programming; statistics; Optimization; Mathematical Modeling and Industrial Mathematics; Applications of Mathematics; Statistics for Life Sciences, Medicine, Health Sciences; Numerical Analysis; Optimization; Mathematical Modeling and Industrial Mathematics; Applications of Mathematics; Biostatistics; Optimierung; Mathematische Modellierung; Mathematik für Ingenieure; Angewandte Mathematik; Wahrscheinlichkeitsrechnung und Statistik; BC; EA

Preface. 1: Introduction. 2. Mathematical Foundations. 1. Optimality Criteria. 2. Sequential Quadratic Programming Methods. 3. Least Squares Methods. 4. Numerical Solution of Ordinary Differential Equations. 5. Numerical Solution of Differential Algebraic Equations. 6. Numerical Solution of One-Dimensional Partial Differential Equations. 7. Laplace Transforms. 8. Automatic Differentiation. 9. Statistical Interpretation of Results. 3: Data Fitting Models. 1. Explicit Model Functions. 2. Laplace Transforms. 3. Steady State Equations. 4.Ordinary Differential Equations. 5. Partial Differential Equations. 6. Optimal Control Problems. 4: Numerical Experiments. 1. Test Environment. 2. Numerical Pitfalls. 3. Testing the Validity of Models. 4. Performance Evaluation. 5: Case Studies. 1. Linear Pharmacokinetics. 2. Receptor-Ligand Binder Study. 3. Robot Design. 4. Multibody System of a Truck. 5. Binary Distillation Column. 6. Acetylene Reactor. 7. Transdermal Application of Drugs. 8. Groundwater Flow. 9. Cooling a Hot Strip Mill. 10. Drying Maltodextrin in a Convection Oven. 11. Fluid Dynamics of Hydro Systems. Appendix A: Software Installation. 1. Hardware and Software Requirements. 2. System Setup. 3. Packing List. Appendix B: Test Examples. 1. Explicit Model Functions. 2. Laplace Transforms. 3. Steady State Equations. 4. Ordinary Differential Equations. 5. Differential Algebraic Equations. 6. Partial Differential Equations. 7. Partial Differential Algebraic Equations. Appendix C: The PCOMP Language. Appendix D: Generation of Fortran Code. 1. Model Equations. 2. Execution of Generated Code. References. Index.

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