Nonlinear Optimization Engineering Applications by Bartholomew Biggs Michael (38 results)

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Paperback. Condition: new. Paperback. This book, like its companion volume Nonlinear Optimization with Financial Applications, is an outgrowth of undergraduate and po- graduate courses given at the University of Hertfordshire and the University of Bergamo. It deals with the theory behind numerical methods for nonlinear optimization and their application to a range of problems in science and engineering. The book is intended for ?nal year undergraduate students in mathematics (or other subjects with a high mathematical or computational content) and exercises are provided at the end of most sections. The material should also be useful for postg- duate students and other researchers and practitioners who may be c- cerned with the development or use of optimization algorithms. It is assumed that readers have an understanding of the algebra of matrices and vectors and of the Taylor and mean value theorems in several va- ables. Prior experience of using computational techniques for solving systems of linear equations is also desirable, as is familiarity with the behaviour of iterative algorithms such as Newtons methodfor nonlinear equations in one variable. Most of the currently popular methods for continuous nonlinear optimization are described and given (at least) an intuitive justi?cation. Relevant convergence results are also outlined and we provide proofs of these when it seems instructive to do so. This theoretical material is complemented by numerical illustrations which give a ?avour of how the methods perform in practice. This book, like its companion volume Nonlinear Optimization with Financial Applications, is an outgrowth of undergraduate and po- graduate courses given at the University of Hertfordshire and the University of Bergamo. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardcover. Ehem. Bibliotheksexemplar mit Bib.-Signatur und Stempel in GUTEM Zustand. Kaum Gebrauchsspuren. 9780387787220 Sprache: Englisch Gewicht in Gramm: 550.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: new. Hardcover. This book, like its companion volume Nonlinear Optimization with Financial Applications, is an outgrowth of undergraduate and po- graduate courses given at the University of Hertfordshire and the University of Bergamo. It deals with the theory behind numerical methods for nonlinear optimization and their application to a range of problems in science and engineering. The book is intended for ?nal year undergraduate students in mathematics (or other subjects with a high mathematical or computational content) and exercises are provided at the end of most sections. The material should also be useful for postg- duate students and other researchers and practitioners who may be c- cerned with the development or use of optimization algorithms. It is assumed that readers have an understanding of the algebra of matrices and vectors and of the Taylor and mean value theorems in several va- ables. Prior experience of using computational techniques for solving systems of linear equations is also desirable, as is familiarity with the behaviour of iterative algorithms such as Newtons methodfor nonlinear equations in one variable. Most of the currently popular methods for continuous nonlinear optimization are described and given (at least) an intuitive justi?cation. Relevant convergence results are also outlined and we provide proofs of these when it seems instructive to do so. This theoretical material is complemented by numerical illustrations which give a ?avour of how the methods perform in practice. This book, like its companion volume Nonlinear Optimization with Financial Applications, is an outgrowth of undergraduate and po- graduate courses given at the University of Hertfordshire and the University of Bergamo. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Condition: New. pp. 298.

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Condition: New. This book examines problems in science and engineering, describing key numerical methods applied to real life. It includes case studies in such areas as vehicle route planning and optimal control, scheduling and resource allocation, and worst-case analysis. Series: Springer Optimization and its Applications. Num Pages: 296 pages, 5 black & white tables, biography. BIC Classification: PBU. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 15. Weight in Grams: 421. . 2010. Softcover reprint of hardcover 1st ed. 2008. Paperback. . . . .

Condition: New. pp. 300.

Condition: As New. Unread book in perfect condition.

Condition: New. This book examines problems in science and engineering, describing key numerical methods applied to real life. It includes case studies in such areas as vehicle route planning and optimal control, scheduling and resource allocation, and worst-case analysis. Series: Springer Optimization and its Applications. Num Pages: 296 pages, 5 black & white tables, biography. BIC Classification: PBU. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 15. Weight in Grams: 421. . 2010. Softcover reprint of hardcover 1st ed. 2008. Paperback. . . . . Books ship from the US and Ireland.

Condition: New. This book examines problems in science and engineering, describing key numerical methods applied to real life. It includes case studies in such areas as vehicle route planning and optimal control, scheduling and resource allocation, and worst-case analysis. Series: Springer Optimization and its Applications. Num Pages: 296 pages, 5 black & white tables, biography. BIC Classification: PBU. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 17. Weight in Grams: 1320. . 2008. Hardback. . . . .

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book, like its companion volume Nonlinear Optimization with Financial Applications, is an outgrowth of undergraduate and po- graduate courses given at the University of Hertfordshire and the University of Bergamo. It deals with the theory behind numerical methods for nonlinear optimization and their application to a range of problems in science and engineering. The book is intended for nal year undergraduate students in mathematics (or other subjects with a high mathematical or computational content) and exercises are provided at the end of most sections. The material should also be useful for postg- duate students and other researchers and practitioners who may be c- cerned with the development or use of optimization algorithms. It is assumed that readers have an understanding of the algebra of matrices and vectors and of the Taylor and mean value theorems in several va- ables. Prior experience of using computational techniques for solving systems of linear equations is also desirable, as is familiarity with the behaviour of iterative algorithms such as Newton's methodfor nonlinear equations in one variable. Most of the currently popular methods for continuous nonlinear optimization are described and given (at least) an intuitive justi cation. Relevant convergence results are also outlined and we provide proofs of these when it seems instructive to do so. This theoretical material is complemented by numerical illustrations which give a avour of how the methods perform in practice.

Paperback. Condition: Like New. Like New. book.

Condition: New. This book examines problems in science and engineering, describing key numerical methods applied to real life. It includes case studies in such areas as vehicle route planning and optimal control, scheduling and resource allocation, and worst-case analysis. Series: Springer Optimization and its Applications. Num Pages: 296 pages, 5 black & white tables, biography. BIC Classification: PBU. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 17. Weight in Grams: 1320. . 2008. Hardback. . . . . Books ship from the US and Ireland.

Gebunden. Condition: New. A sound theoretical introduction to optimization but mainly placing a practical emphasis on understanding algorithms and how to use themThis textbook examines a broad range of problems in science and engineering, describing key numerical methods appl.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book, like its companion volume Nonlinear Optimization with Financial Applications, is an outgrowth of undergraduate and po- graduate courses given at the University of Hertfordshire and the University of Bergamo. It deals with the theory behind numerical methods for nonlinear optimization and their application to a range of problems in science and engineering. The book is intended for nal year undergraduate students in mathematics (or other subjects with a high mathematical or computational content) and exercises are provided at the end of most sections. The material should also be useful for postg- duate students and other researchers and practitioners who may be c- cerned with the development or use of optimization algorithms. It is assumed that readers have an understanding of the algebra of matrices and vectors and of the Taylor and mean value theorems in several va- ables. Prior experience of using computational techniques for solving systems of linear equations is also desirable, as is familiarity with the behaviour of iterative algorithms such as Newton's methodfor nonlinear equations in one variable. Most of the currently popular methods for continuous nonlinear optimization are described and given (at least) an intuitive justi cation. Relevant convergence results are also outlined and we provide proofs of these when it seems instructive to do so. This theoretical material is complemented by numerical illustrations which give a avour of how the methods perform in practice.

Paperback. Condition: new. Paperback. This book, like its companion volume Nonlinear Optimization with Financial Applications, is an outgrowth of undergraduate and po- graduate courses given at the University of Hertfordshire and the University of Bergamo. It deals with the theory behind numerical methods for nonlinear optimization and their application to a range of problems in science and engineering. The book is intended for ?nal year undergraduate students in mathematics (or other subjects with a high mathematical or computational content) and exercises are provided at the end of most sections. The material should also be useful for postg- duate students and other researchers and practitioners who may be c- cerned with the development or use of optimization algorithms. It is assumed that readers have an understanding of the algebra of matrices and vectors and of the Taylor and mean value theorems in several va- ables. Prior experience of using computational techniques for solving systems of linear equations is also desirable, as is familiarity with the behaviour of iterative algorithms such as Newtons methodfor nonlinear equations in one variable. Most of the currently popular methods for continuous nonlinear optimization are described and given (at least) an intuitive justi?cation. Relevant convergence results are also outlined and we provide proofs of these when it seems instructive to do so. This theoretical material is complemented by numerical illustrations which give a ?avour of how the methods perform in practice. This book, like its companion volume Nonlinear Optimization with Financial Applications, is an outgrowth of undergraduate and po- graduate courses given at the University of Hertfordshire and the University of Bergamo. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condition: Sehr gut. 300 Seiten ex Library Book aus einer wissenschafltichen Bibliothek Altersfreigabe FSK ab 0 Jahre Sprache: Englisch Gewicht in Gramm: 469 23,4 x 15,6 x 1,6 cm, Taschenbuch.

Hardcover. Condition: new. Hardcover. This book, like its companion volume Nonlinear Optimization with Financial Applications, is an outgrowth of undergraduate and po- graduate courses given at the University of Hertfordshire and the University of Bergamo. It deals with the theory behind numerical methods for nonlinear optimization and their application to a range of problems in science and engineering. The book is intended for ?nal year undergraduate students in mathematics (or other subjects with a high mathematical or computational content) and exercises are provided at the end of most sections. The material should also be useful for postg- duate students and other researchers and practitioners who may be c- cerned with the development or use of optimization algorithms. It is assumed that readers have an understanding of the algebra of matrices and vectors and of the Taylor and mean value theorems in several va- ables. Prior experience of using computational techniques for solving systems of linear equations is also desirable, as is familiarity with the behaviour of iterative algorithms such as Newtons methodfor nonlinear equations in one variable. Most of the currently popular methods for continuous nonlinear optimization are described and given (at least) an intuitive justi?cation. Relevant convergence results are also outlined and we provide proofs of these when it seems instructive to do so. This theoretical material is complemented by numerical illustrations which give a ?avour of how the methods perform in practice. This book, like its companion volume Nonlinear Optimization with Financial Applications, is an outgrowth of undergraduate and po- graduate courses given at the University of Hertfordshire and the University of Bergamo. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.