Nonlinear Optimization with Engineering Applications
Michael Bartholomew-Biggs ()
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Michael Bartholomew-Biggs: University of Hertfordshire
in Springer Optimization and Its Applications from Springer, currently edited by Pardalos, Panos, Thai, My T. and Du, Ding-Zhu
Date: 2008
ISBN: 978-0-387-78723-7
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Chapters in this book:
- Ch 1 Introducing Optimization
- Michael Bartholomew–Biggs
- Ch 2 One-variable Optimization
- Michael Bartholomew–Biggs
- Ch 3 Applications in n Variables
- Michael Bartholomew–Biggs
- Ch 4 n-Variable Unconstrained Optimization
- Michael Bartholomew–Biggs
- Ch 5 Direct Search Methods
- Michael Bartholomew–Biggs
- Ch 6 Computing Derivatives
- Michael Bartholomew–Biggs
- Ch 7 The Steepest Descent Method
- Michael Bartholomew–Biggs
- Ch 8 Weak Line Searches and Convergence
- Michael Bartholomew–Biggs
- Ch 9 Newton and Newton-like Methods
- Michael Bartholomew–Biggs
- Ch 10 Quasi-Newton Methods
- Michael Bartholomew–Biggs
- Ch 11 Conjugate Gradient Methods
- Michael Bartholomew–Biggs
- Ch 12 ASummary of Unconstrained Methods
- Michael Bartholomew–Biggs
- Ch 13 Optimization with Restrictions
- Michael Bartholomew–Biggs
- Ch 14 Larger-Scale Problems
- Michael Bartholomew–Biggs
- Ch 15 Global Unconstrained Optimization
- Michael Bartholomew–Biggs
- Ch 16 Equality Constrained Optimization
- Michael Bartholomew–Biggs
- Ch 17 Linear Equality Constraints
- Michael Bartholomew–Biggs
- Ch 18 Penalty Function Methods
- Michael Bartholomew–Biggs
- Ch 19 Sequential Quadratic Programming
- Michael Bartholomew–Biggs
- Ch 20 Inequality Constrained Optimization
- Michael Bartholomew–Biggs
- Ch 21 Extending Equality Constraint Methods
- Michael Bartholomew–Biggs
- Ch 22 Barrier Function Methods
- Michael Bartholomew–Biggs
- Ch 23 Interior Point Methods
- Michael Bartholomew–Biggs
- Ch 24 A Summary of Constrained Methods
- Michael Bartholomew–Biggs
- Ch 25 The OPTIMA Software
- Michael Bartholomew–Biggs
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spopap:978-0-387-78723-7
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DOI: 10.1007/978-0-387-78723-7
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