| 000 | 03282nam a22005055i 4500 | ||
|---|---|---|---|
| 001 | 978-3-030-05309-3 | ||
| 003 | DE-He213 | ||
| 005 | 20220801213548.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 190301s2019 sz | s |||| 0|eng d | ||
| 020 |
_a9783030053093 _9978-3-030-05309-3 |
||
| 024 | 7 |
_a10.1007/978-3-030-05309-3 _2doi |
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| 050 | 4 | _aTK1001-1841 | |
| 072 | 7 |
_aTHR _2bicssc |
|
| 072 | 7 |
_aTEC046000 _2bisacsh |
|
| 072 | 7 |
_aTHR _2thema |
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| 082 | 0 | 4 |
_a621.31 _223 |
| 100 | 1 |
_aFathi, Mohammad. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _932877 |
|
| 245 | 1 | 0 |
_aOptimization in Electrical Engineering _h[electronic resource] / _cby Mohammad Fathi, Hassan Bevrani. |
| 250 | _a1st ed. 2019. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2019. |
|
| 300 |
_aIX, 174 p. 60 illus., 43 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _aIntroduction -- Linear Algebra Review -- Set constrained Optimization -- Convex Programming -- Duality -- LMI-based Optimization -- Artificial intelligence and evolutionary algorithms based optimization. | |
| 520 | _aThis textbook provides students, researchers, and engineers in the area of electrical engineering with advanced mathematical optimization methods. Presented in a readable format, this book highlights fundamental concepts of advanced optimization used in electrical engineering. Chapters provide a collection that ranges from simple yet important concepts such as unconstrained optimization to highly advanced topics such as linear matrix inequalities and artificial intelligence-based optimization methodologies. The reader is motivated to engage with the content via numerous application examples of optimization in the area of electrical engineering. The book begins with an extended review of linear algebra that is a prerequisite to mathematical optimization. It then precedes with unconstrained optimization, convex programming, duality, linear matrix inequality, and intelligent optimization methods. This book can be used as the main text in courses such as Engineering Optimization, Convex Engineering Optimization, Advanced Engineering Mathematics and Robust Optimization and will be useful for practicing design engineers in electrical engineering fields. Author provided cases studies and worked examples are included for student and instructor use. | ||
| 650 | 0 |
_aElectric power production. _927574 |
|
| 650 | 0 |
_aMathematical optimization. _94112 |
|
| 650 | 1 | 4 |
_aElectrical Power Engineering. _931821 |
| 650 | 2 | 4 |
_aOptimization. _932878 |
| 650 | 2 | 4 |
_aMechanical Power Engineering. _932122 |
| 700 | 1 |
_aBevrani, Hassan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _932879 |
|
| 710 | 2 |
_aSpringerLink (Online service) _932880 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030053086 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030053109 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-05309-3 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c75328 _d75328 |
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