Project Optimization : : Using MATLAB and SOLVER /

Project Optimization : : Using MATLAB and SOLVER / / Reyolando M.L.R.F. Brasil, Marcelo Araujo da Silva.

A comprehensive and easy to understand introduction to a wide range of tools to help designers to optimize their projects. The authors are engineers and therefore many of the examples are on engineering applications, but the techniques presented are common to various areas of knowledge and pervade d...

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Superior document:Title is part of eBook package: De Gruyter DG Ebook Package English 2021
VerfasserIn:
Brasil, Reyolando M.L.R.F.,
Araujo da Silva, Marcelo,
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2021]
©2021
Year of Publication:2021
Language:English
Series:De Gruyter Textbook
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Physical Description:1 online resource (XI, 136 p.)
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id 9783110625622
lccn 2021939932
ctrlnum (DE-B1597)502092
(OCoLC)1269269333
collection bib_alma
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spelling Brasil, Reyolando M.L.R.F., author. aut http://id.loc.gov/vocabulary/relators/aut
Project Optimization : Using MATLAB and SOLVER / Reyolando M.L.R.F. Brasil, Marcelo Araujo da Silva.
Berlin ; Boston : De Gruyter, [2021]
©2021
1 online resource (XI, 136 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
De Gruyter Textbook
Frontmatter -- Preface -- Contents -- About notation -- Chapter 1. Fundamental ideas -- Chapter 2. Essential mathematical optimization tools -- Chapter 3. Graphic method -- Chapter 4. Linear programming -- Chapter 5. Using MATLAB optimization toolbox -- Chapter 6. Numerical methods for nonlinear non-constrained optimization -- Chapter 7. Nature-inspired optimization methods -- Chapter 8. Topology optimization and reliability -- Chapter 9. Using Excel Solver in optimization problems -- Appendix -- References -- Index
restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star
A comprehensive and easy to understand introduction to a wide range of tools to help designers to optimize their projects. The authors are engineers and therefore many of the examples are on engineering applications, but the techniques presented are common to various areas of knowledge and pervade disciplinary divisions. The book describes the fundamental ideas, mathematical and graphic methods and shows how to use Matlab and EXCEL for optimization.
Issued also in print.
Mode of access: Internet via World Wide Web.
In English.
Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Dez 2022)
Environmental sciences Congresses.
Management. Industrial management.
Political planning Canada.
Renewable energy sources Congresses.
MATLAB.
Optimierung.
Programmierung.
Technology & Engineering / Electrical. bisacsh
Excel.
Project Optimization.
SOLVER.
Araujo da Silva, Marcelo, author. aut http://id.loc.gov/vocabulary/relators/aut
Title is part of eBook package: De Gruyter DG Ebook Package English 2021 9783110750720
Title is part of eBook package: De Gruyter DG Plus DeG Package 2021 Part 1 9783110750706
Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2021 English 9783110754001
Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2021 9783110753776 ZDB-23-DGG
Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2021 English 9783110754070
Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2021 9783110753837 ZDB-23-DEI
EPUB 9783110625677
print 9783110625615
https://doi.org/10.1515/9783110625622
https://www.degruyter.com/isbn/9783110625622
Cover https://www.degruyter.com/document/cover/isbn/9783110625622/original
language English
format eBook
author Brasil, Reyolando M.L.R.F.,
Brasil, Reyolando M.L.R.F.,
Araujo da Silva, Marcelo,
spellingShingle Brasil, Reyolando M.L.R.F.,
Brasil, Reyolando M.L.R.F.,
Araujo da Silva, Marcelo,
Project Optimization : Using MATLAB and SOLVER /
De Gruyter Textbook
Frontmatter --
Preface --
Contents --
About notation --
Chapter 1. Fundamental ideas --
Chapter 2. Essential mathematical optimization tools --
Chapter 3. Graphic method --
Chapter 4. Linear programming --
Chapter 5. Using MATLAB optimization toolbox --
Chapter 6. Numerical methods for nonlinear non-constrained optimization --
Chapter 7. Nature-inspired optimization methods --
Chapter 8. Topology optimization and reliability --
Chapter 9. Using Excel Solver in optimization problems --
Appendix --
References --
Index
author_facet Brasil, Reyolando M.L.R.F.,
Brasil, Reyolando M.L.R.F.,
Araujo da Silva, Marcelo,
Araujo da Silva, Marcelo,
Araujo da Silva, Marcelo,
author_variant r m b rm rmb
r m b rm rmb
d s m a dsm dsma
author_role VerfasserIn
VerfasserIn
VerfasserIn
author2 Araujo da Silva, Marcelo,
Araujo da Silva, Marcelo,
author2_variant d s m a dsm dsma
author2_role VerfasserIn
VerfasserIn
author_sort Brasil, Reyolando M.L.R.F.,
title Project Optimization : Using MATLAB and SOLVER /
title_sub Using MATLAB and SOLVER /
title_full Project Optimization : Using MATLAB and SOLVER / Reyolando M.L.R.F. Brasil, Marcelo Araujo da Silva.
title_fullStr Project Optimization : Using MATLAB and SOLVER / Reyolando M.L.R.F. Brasil, Marcelo Araujo da Silva.
title_full_unstemmed Project Optimization : Using MATLAB and SOLVER / Reyolando M.L.R.F. Brasil, Marcelo Araujo da Silva.
title_auth Project Optimization : Using MATLAB and SOLVER /
title_alt Frontmatter --
Preface --
Contents --
About notation --
Chapter 1. Fundamental ideas --
Chapter 2. Essential mathematical optimization tools --
Chapter 3. Graphic method --
Chapter 4. Linear programming --
Chapter 5. Using MATLAB optimization toolbox --
Chapter 6. Numerical methods for nonlinear non-constrained optimization --
Chapter 7. Nature-inspired optimization methods --
Chapter 8. Topology optimization and reliability --
Chapter 9. Using Excel Solver in optimization problems --
Appendix --
References --
Index
title_new Project Optimization :
title_sort project optimization : using matlab and solver /
series De Gruyter Textbook
series2 De Gruyter Textbook
publisher De Gruyter,
publishDate 2021
physical 1 online resource (XI, 136 p.)
Issued also in print.
contents Frontmatter --
Preface --
Contents --
About notation --
Chapter 1. Fundamental ideas --
Chapter 2. Essential mathematical optimization tools --
Chapter 3. Graphic method --
Chapter 4. Linear programming --
Chapter 5. Using MATLAB optimization toolbox --
Chapter 6. Numerical methods for nonlinear non-constrained optimization --
Chapter 7. Nature-inspired optimization methods --
Chapter 8. Topology optimization and reliability --
Chapter 9. Using Excel Solver in optimization problems --
Appendix --
References --
Index
isbn 9783110625622
9783110750720
9783110750706
9783110754001
9783110753776
9783110754070
9783110753837
9783110625677
9783110625615
genre_facet Congresses.
geographic_facet Canada.
url https://doi.org/10.1515/9783110625622
https://www.degruyter.com/isbn/9783110625622
https://www.degruyter.com/document/cover/isbn/9783110625622/original
illustrated Not Illustrated
doi_str_mv 10.1515/9783110625622
oclc_num 1269269333
work_keys_str_mv AT brasilreyolandomlrf projectoptimizationusingmatlabandsolver
AT araujodasilvamarcelo projectoptimizationusingmatlabandsolver
status_str n
ids_txt_mv (DE-B1597)502092
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carrierType_str_mv cr
hierarchy_parent_title Title is part of eBook package: De Gruyter DG Ebook Package English 2021
Title is part of eBook package: De Gruyter DG Plus DeG Package 2021 Part 1
Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2021 English
Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2021
Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2021 English
Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2021
is_hierarchy_title Project Optimization : Using MATLAB and SOLVER /
container_title Title is part of eBook package: De Gruyter DG Ebook Package English 2021
author2_original_writing_str_mv noLinkedField
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