Mathematical methods of optimization; Lars-Christer Böiers; 2010
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Mathematical methods of optimization Upplaga 1

av Lars-Christer Böiers
The aim of this book is to present a suitable blend of practical optimization methods and some central parts of the theory, in particular convexity and constrained optimization. The mathematics behind some basic algorithms is treated. The theory covered is presented in a rigorous way, with clearly stated definitions and theorems and with full proofs. The book contains a large number of exercises, which are provided with answers and in some cases complete solutions. Prerequisites are calculus in one and several variables, and linear algebra including some eigenvalue theory. Positive definite matrices are discussed in an appendix. This book is first and foremost aimed to be used in optimization courses at universities as well as engineering and business schools.
The aim of this book is to present a suitable blend of practical optimization methods and some central parts of the theory, in particular convexity and constrained optimization. The mathematics behind some basic algorithms is treated. The theory covered is presented in a rigorous way, with clearly stated definitions and theorems and with full proofs. The book contains a large number of exercises, which are provided with answers and in some cases complete solutions. Prerequisites are calculus in one and several variables, and linear algebra including some eigenvalue theory. Positive definite matrices are discussed in an appendix. This book is first and foremost aimed to be used in optimization courses at universities as well as engineering and business schools.
Upplaga: 1a upplagan
Utgiven: 2010
ISBN: 9789144070759
Förlag: Studentlitteratur AB
Format: Häftad
Språk: Engelska
Sidor: 411 st
The aim of this book is to present a suitable blend of practical optimization methods and some central parts of the theory, in particular convexity and constrained optimization. The mathematics behind some basic algorithms is treated. The theory covered is presented in a rigorous way, with clearly stated definitions and theorems and with full proofs. The book contains a large number of exercises, which are provided with answers and in some cases complete solutions. Prerequisites are calculus in one and several variables, and linear algebra including some eigenvalue theory. Positive definite matrices are discussed in an appendix. This book is first and foremost aimed to be used in optimization courses at universities as well as engineering and business schools.
The aim of this book is to present a suitable blend of practical optimization methods and some central parts of the theory, in particular convexity and constrained optimization. The mathematics behind some basic algorithms is treated. The theory covered is presented in a rigorous way, with clearly stated definitions and theorems and with full proofs. The book contains a large number of exercises, which are provided with answers and in some cases complete solutions. Prerequisites are calculus in one and several variables, and linear algebra including some eigenvalue theory. Positive definite matrices are discussed in an appendix. This book is first and foremost aimed to be used in optimization courses at universities as well as engineering and business schools.
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Om Mathematical methods of optimization (2010)

I oktober 2010 släpptes boken Mathematical methods of optimization skriven av Lars-Christer Böiers. Det är den 1a upplagan av kursboken. Den är skriven på engelska och består av 411 sidor djupgående information om teknik. Förlaget bakom boken är Studentlitteratur AB som har sitt säte i Lund.

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