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Author: Eliahu Zahavi
Publisher: CRC Press
ISBN: 1420039377
Category : Technology & Engineering
Languages : en
Pages : 435
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Book Description
Modern machine design challenges engineers with a myriad of nonlinear problems, among them fatigue, friction, plasticity, and excessive deformation. Today's advanced numerical computer programs bring optimal solutions to these complex problems within reach, but not without a trained and experienced overseer. Nonlinear Problems in Machine Des
Author: Eliahu Zahavi
Publisher: CRC Press
ISBN: 1420039377
Category : Technology & Engineering
Languages : en
Pages : 435
Get Book Here
Book Description
Modern machine design challenges engineers with a myriad of nonlinear problems, among them fatigue, friction, plasticity, and excessive deformation. Today's advanced numerical computer programs bring optimal solutions to these complex problems within reach, but not without a trained and experienced overseer. Nonlinear Problems in Machine Des
Author: Eliahu Zahavi
Publisher: CRC Press
ISBN: 9780849320378
Category : Technology & Engineering
Languages : en
Pages : 440
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Book Description
Modern machine design challenges engineers with a myriad of nonlinear problems, among them fatigue, friction, plasticity, and excessive deformation. Today's advanced numerical computer programs bring optimal solutions to these complex problems within reach, but not without a trained and experienced overseer. Nonlinear Problems in Machine Design provides that training and experience. It acquaints readers with the modern analytical methods of machine design and enables them to use those methods in daily applications. The authors first build the theoretical foundation, then focus on the application of the finite element method to machine design problems. They offer practical examples with solutions generated using both the ANSYS and MSC.NASTRAN finite element programs, demonstrating the reliability of the results, offering readers experience with the two most widely used programs in industry. Developed through the authors' extensive knowledge of engineering theory and their experience in verifying the accuracy and applicability of computer generated solutions, this book helps ensure foolproof results when designing machine parts. Nonlinear Problems in Machine Design is unique in its focus, will prove equally valuable to students and practitioners, and appears destined to become a standard in its field.
Author: Jerome Lange
Publisher: CRC Press
ISBN: 9780824774790
Category : Technology & Engineering
Languages : en
Pages : 428
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Book Description
This book acquaints the reader with interactive computer graphics and how they are being used in the analysis of mechanical design problems. It covers four mechanical design topics: the graphics model, mass properties, stress and strain, and kinematic and kinetic analysis.
Author:
Publisher: Research & Education Assoc.
ISBN: 9780738670829
Category : Machine design
Languages : en
Pages : 932
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Book Description
Author: Charles Herbert Innes
Publisher:
ISBN:
Category : Machine design
Languages : en
Pages : 216
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Book Description
Author: Oscar Adolph Leutwiler
Publisher:
ISBN:
Category : Machine design
Languages : en
Pages : 152
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Book Description
Author: Virgil Moring Faires
Publisher:
ISBN:
Category : Machine design
Languages : en
Pages : 166
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Book Description
Author: Norton
Publisher: Pearson Education India
ISBN: 9788131705339
Category :
Languages : en
Pages : 1110
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Book Description
Author: Valliappa Lakshmanan
Publisher: O'Reilly Media
ISBN: 1098115759
Category : Computers
Languages : en
Pages : 408
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Book Description
The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice. In this book, you will find detailed explanations of 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the best technique for your situation. You'll learn how to: Identify and mitigate common challenges when training, evaluating, and deploying ML models Represent data for different ML model types, including embeddings, feature crosses, and more Choose the right model type for specific problems Build a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning Deploy scalable ML systems that you can retrain and update to reflect new data Interpret model predictions for stakeholders and ensure models are treating users fairly
Author: Franklin DeRonde Furman
Publisher:
ISBN:
Category : Machine-shop practice
Languages : en
Pages : 98
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Book Description
