Mathematics in Engineering Sciences : Novel Theories, Technologies, and Applications (Mathematical Engineering, Manufacturing, and Management Sciences)

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Mathematics in Engineering Sciences : Novel Theories, Technologies, and Applications (Mathematical Engineering, Manufacturing, and Management Sciences)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 368 p.
  • 言語 ENG
  • 商品コード 9780367776640
  • DDC分類 620.00151

Full Description

This book includes research studies, novel theory, as well as new methodology and applications in mathematics and management sciences. The book will provide a comprehensive range of mathematics applied to engineering areas for different tasks. It will offer an international perspective and a bridge between classical theory and new methodology in many areas, along with real-life applications.

Features


Offers solutions to multi-objective transportation problem under cost reliability using utility function




Presents optimization techniques to support eco-efficiency assessment in manufacturing processes




Covers distance-based function approach for optimal design of engineering processes with multiple quality characteristics




Provides discrete time sliding mode control for non-linear networked control systems




Discusses second law of thermodynamics as instruments for optimizing fluid dynamic systems and aerodynamic systems

Contents

Introduction to Mathematical Techniques in Engineering. Performance Evaluation of Complex Engineering System. Modeling and Simulation in Engineering Sciences. Case Study 1. Case Study 2. Case Study 3. Case Study 4. Applications of Astrophysics. Finite Element Methods in Engineering. Applied Mathematical Problems and Methods in Research and Education. Differential Equations and its Applications. Fluid Dynamics and its Applications in Engineering. Inventory Problems, Probability and Statistics Applications. Mathematical Modeling in Environmental and Bio Sciences. Mathematical Modelling and Simulation. Operations Research. Optimization Techniques. Recent Mathematical Tools and Techniques in Engineering and Technology. Reliability and Availability Assessment of Multi-State Systems. Reliability Modeling and Testing for Complex Systems. Risk and Supply Chain Management. Soft Computing, Genetic Algorithm, Neural Network, and Fuzzy Logic Applications. Stochastic Process and System Engineering.

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