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03200nam a22005415i 4500 |
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978-3-319-02189-8 |
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20200705173421.0 |
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130924s2014 gw | s |||| 0|eng d |
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|a 9783319021898
|9 978-3-319-02189-8
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|a 10.1007/978-3-319-02189-8
|2 doi
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|a 621.3815
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|a Rocha, Frederico A.E.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms
|h [electronic resource] /
|c by Frederico A.E. Rocha, Ricardo M.F. Martins, Nuno C.C. Lourenço, Nuno C.G. Horta.
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| 250 |
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|a 1st ed. 2014.
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| 264 |
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2014.
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| 300 |
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|a XI, 69 p. 39 illus.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
1 |
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|a SpringerBriefs in Computational Intelligence,
|x 2625-3704
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| 505 |
0 |
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|a Introduction -- Related Work -- Gradient Model Generation -- Enhanced Circuit-Level Optimization Kernel -- Case Studies -- Conclusions and Outlook.
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| 520 |
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|a This book applies to the scientific area of electronic design automation (EDA) and addresses the automatic sizing of analog integrated circuits (ICs). Particularly, this book presents an approach to enhance a state-of-the-art layout-aware circuit-level optimizer (GENOM-POF), by embedding statistical knowledge from an automatically generated gradient model into the multi-objective multi-constraint optimization kernel based on the NSGA-II algorithm. The results showed allow the designer to explore the different trade-offs of the solution space, both through the achieved device sizes, or the respective layout solutions.
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| 650 |
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|a Electronic circuits.
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| 650 |
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0 |
|a Computational intelligence.
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| 650 |
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|a Algorithms.
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| 650 |
1 |
4 |
|a Circuits and Systems.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T24068
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| 650 |
2 |
4 |
|a Computational Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T11014
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| 650 |
2 |
4 |
|a Algorithm Analysis and Problem Complexity.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I16021
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| 700 |
1 |
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|a Martins, Ricardo M.F.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 700 |
1 |
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|a Lourenço, Nuno C.C.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 700 |
1 |
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|a Horta, Nuno C.G.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer Nature eBook
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783319021904
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783319021881
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| 830 |
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|a SpringerBriefs in Computational Intelligence,
|x 2625-3704
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-02189-8
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| 912 |
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|a ZDB-2-ENG
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| 912 |
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|a ZDB-2-SXE
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| 950 |
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|a Engineering (SpringerNature-11647)
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| 950 |
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|a Engineering (R0) (SpringerNature-43712)
|
