Machine Learning for Model Order Reduction

Nonfiction, Science & Nature, Technology, Electronics, Circuits, Computers, Advanced Computing, Engineering, Computer Architecture
Cover of the book Machine Learning for Model Order Reduction by Khaled Salah Mohamed, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Khaled Salah Mohamed ISBN: 9783319757148
Publisher: Springer International Publishing Publication: March 2, 2018
Imprint: Springer Language: English
Author: Khaled Salah Mohamed
ISBN: 9783319757148
Publisher: Springer International Publishing
Publication: March 2, 2018
Imprint: Springer
Language: English

This Book discusses machine learning for model order reduction, which can be used in modern VLSI design to predict the behavior of an electronic circuit, via mathematical models that predict behavior.  The author describes techniques to reduce significantly the time required for simulations involving large-scale ordinary differential equations, which sometimes take several days or even weeks.  This method is called model order reduction (MOR), which reduces the complexity of the original large system and generates a reduced-order model (ROM) to represent the original one.  Readers will gain in-depth knowledge of machine learning and model order reduction concepts, the tradeoffs involved with using various algorithms, and how to apply the techniques presented to circuit simulations and numerical analysis.

  • Introduces machine learning algorithms at the architecture level and the algorithm levels of abstraction;

  • Describes new, hybrid solutions for model order reduction;

  • Presents machine learning algorithms in depth, but simply;

  • Uses real, industrial applications to verify algorithms.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This Book discusses machine learning for model order reduction, which can be used in modern VLSI design to predict the behavior of an electronic circuit, via mathematical models that predict behavior.  The author describes techniques to reduce significantly the time required for simulations involving large-scale ordinary differential equations, which sometimes take several days or even weeks.  This method is called model order reduction (MOR), which reduces the complexity of the original large system and generates a reduced-order model (ROM) to represent the original one.  Readers will gain in-depth knowledge of machine learning and model order reduction concepts, the tradeoffs involved with using various algorithms, and how to apply the techniques presented to circuit simulations and numerical analysis.

More books from Springer International Publishing

Cover of the book Endodontic Irrigation by Khaled Salah Mohamed
Cover of the book Statistical Language and Speech Processing by Khaled Salah Mohamed
Cover of the book Galactic and Intergalactic Magnetic Fields by Khaled Salah Mohamed
Cover of the book Handbook of Biometrics for Forensic Science by Khaled Salah Mohamed
Cover of the book Urban Planning for Healthy European Cities by Khaled Salah Mohamed
Cover of the book Handbook of Biometric Anti-Spoofing by Khaled Salah Mohamed
Cover of the book Sustainable Value Management for Construction Projects by Khaled Salah Mohamed
Cover of the book Pattern Recognition by Khaled Salah Mohamed
Cover of the book Surrogate Motherhood Families by Khaled Salah Mohamed
Cover of the book Implications of Pyrite Oxidation for Engineering Works by Khaled Salah Mohamed
Cover of the book Modification of K0s and Lambda(AntiLambda) Transverse Momentum Spectra in Pb-Pb Collisions at √sNN = 2.76 TeV with ALICE by Khaled Salah Mohamed
Cover of the book Topology by Khaled Salah Mohamed
Cover of the book Muslim Citizenship in Liberal Democracies by Khaled Salah Mohamed
Cover of the book Intelligent Web Data Management: Software Architectures and Emerging Technologies by Khaled Salah Mohamed
Cover of the book The Mathematics of Networks of Linear Systems by Khaled Salah Mohamed
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy