
Lancelot: A Fortran Package For Large-Scale Nonlinear Optimization, Springer
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Lancelot: A Fortran Package For Large-Scale Nonlinear Optimization, Springer
US $26.99
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Condition:
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A book that has been read and does not look new, but is in excellent condition. No obvious damage to the book cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins. Some identifying marks on the inside cover, but this is minimal. Very little wear and tear. See the seller’s listing for full details and description of any imperfections.
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Item specifics
- Condition
- ISBN
- 9783642081392
About this product
Product Identifiers
Publisher
Springer Berlin / Heidelberg
ISBN-10
3642081398
ISBN-13
9783642081392
eBay Product ID (ePID)
109068595
Product Key Features
Number of Pages
Xx, 332 Pages
Publication Name
Lancelot : a Fortran Package for Large-Scale Nonlinear Optimization (Release A)
Language
English
Subject
General, System Theory, Optimization, Compilers, Mathematical Analysis
Publication Year
2010
Type
Textbook
Subject Area
Mathematics, Computers, Science
Series
Springer Series in Computational Mathematics Ser.
Format
Trade Paperback
Dimensions
Item Weight
30.9 Oz
Item Length
11 in
Item Width
8.3 in
Additional Product Features
Intended Audience
Scholarly & Professional
Dewey Edition
20
Series Volume Number
17
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
004.0151
Table Of Content
1 Introduction.- 2 A SIF/LANCELOT Primer.- 3 A Description of the LANCELOT Algorithms.- 4 The LANCELOT Specification File.- 5 A Description of how LANCELOT Works.- 6 Installing LANCELOT on your System.- 7 The SIF Reference Report.- 8 The Specification of LANCELOT Subroutines.- 9 Coda.- A Conditions of Use.- A.1 General Conditions for all Users.- A.2 Additional Conditions for "Academic" Use.- A.3 Authors' Present Addresses.- B Trademarks.
Synopsis
LANCELOT is a software package for solving large-scale nonlinear optimization problems. This book is our attempt to provide a coherent overview of the package and its use. This includes details of how one might present examples to the package, how the algorithm tries to solve these examples and various technical issues which may be useful to implementors of the software. We hope this book will be of use to both researchers and practitioners in nonlinear programming. Although the book is primarily concerned with a specific optimization package, the issues discussed have much wider implications for the design and im- plementation of large-scale optimization algorithms. In particular, the book contains a proposal for a standard input format for large-scale optimization problems. This proposal is at the heart of the interface between a user's problem and the LANCE LOT optimization package. Furthermore, a large collection of over five hundred test ex- amples has already been written in this format and will shortly be available to those who wish to use them. We would like to thank the many people and organizations who supported us in our enterprise. We first acknowledge the support provided by our employers, namely the the Facultes Universitaires Notre-Dame de la Paix (Namur, Belgium), Harwell Laboratory (UK), IBM Corporation (USA), Rutherford Appleton Laboratory (UK) and the University of Waterloo (Canada). We are grateful for the support we obtained from NSERC (Canada), NATO and AMOCO (UK)., LANCELOT is a software package for solving large-scale nonlinear optimization problems. This book provides a coherent overview of the package and its use. This includes details of how one might present examples to the package, how the algorithm tries to solve these examples and various technical issues which may be useful to implementors of the software. The book will be of use to both researchers and practitioners in nonlinear programming. Although the book is primarily concerned with a specific optimization package, the issues discussed have much wider implications for the design and implementation of large-scale optimization algorithms In particular, the book contains a proposal for a standard input for problems and the LANCELOT optimization package., LANCELOT is a software package for solving large-scale nonlinear optimization problems. This book is our attempt to provide a coherent overview of the package and its use. This includes details of how one might present examples to the package, how the algorithm tries to solve these examples and various technical issues which may be useful to implementors of the software. We hope this book will be of use to both researchers and practitioners in nonlinear programming. Although the book is primarily concerned with a specific optimization package, the issues discussed have much wider implications for the design and im plementation of large-scale optimization algorithms. In particular, the book contains a proposal for a standard input format for large-scale optimization problems. This proposal is at the heart of the interface between a user's problem and the LANCE LOT optimization package. Furthermore, a large collection of over five hundred test ex amples has already been written in this format and will shortly be available to those who wish to use them. We would like to thank the many people and organizations who supported us in our enterprise. We first acknowledge the support provided by our employers, namely the the Facultes Universitaires Notre-Dame de la Paix (Namur, Belgium), Harwell Laboratory (UK), IBM Corporation (USA), Rutherford Appleton Laboratory (UK) and the University of Waterloo (Canada). We are grateful for the support we obtained from NSERC (Canada), NATO and AMOCO (UK)., "Neurology Video Text" is organized in broad general categories (movement disorders, behavioral neurology, epilepsy, etc.) although could be accessed by the user in many different ways, and is presented as individual cases with audio and video. Each case will include: description of the problem and patient presentation, discussion of imaging ......
LC Classification Number
QA76.76.C65
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