Xu Han - Böcker
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12 produkter
12 produkter
258 kr
Skickas inom 5-8 vardagar
258 kr
Skickas inom 5-8 vardagar
258 kr
Skickas inom 5-8 vardagar
258 kr
Skickas inom 5-8 vardagar
258 kr
Skickas inom 5-8 vardagar
258 kr
Skickas inom 5-8 vardagar
258 kr
Skickas inom 5-8 vardagar
258 kr
Skickas inom 5-8 vardagar
1 593 kr
Skickas inom 10-15 vardagar
This book focuses on numerical simulation-based design theory and methods inmechanical engineering. The simulation-based design of mechanical equipmentinvolves considerable scientific challenges including extremely complex systems,extreme working conditions, multi-source uncertainties, multi-physics coupling, andlarge-scale computation. In order to overcome these technical difficulties, this booksystematically elaborates upon the advanced design methods, covering high-fidelitysimulation modeling, rapid structural analysis, multi-objective design optimization,uncertainty analysis and optimization, which can effectively improve the designaccuracy, efficiency, multi-functionality and reliability of complicated mechanicalstructures.This book is primarily intended for researchers, engineers and postgraduate studentsin mechanical engineering, especially in mechanical design, numerical simulation andengineering optimization.
The Startup Legal Guide: The Disaster-Free Startup and Fundraising Handbook for Founders and Investors
Häftad, Engelska
230 kr
Skickas inom 3-6 vardagar
1 487 kr
Skickas inom 10-15 vardagar
Firstly, adopting a mathematical programming theory perspective, it develops an innovative mathematical transformation model to deal with general nonlinear interval uncertain optimization problems, which is able to equivalently convert complex interval uncertain optimization problems to simple deterministic optimization problems.
1 487 kr
Skickas inom 10-15 vardagar
Firstly, adopting a mathematical programming theory perspective, it develops an innovative mathematical transformation model to deal with general nonlinear interval uncertain optimization problems, which is able to equivalently convert complex interval uncertain optimization problems to simple deterministic optimization problems.