Description

Book Synopsis

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

    Table of 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.

Mathematics in Engineering Sciences

    Product form

    £137.75

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    RRP £145.00 – you save £7.25 (5%)

    Order before 4pm today for delivery by Wed 24 Jun 2026.

    A Hardback by Mangey Ram

    15 in stock


      View other formats and editions of Mathematics in Engineering Sciences by Mangey Ram

      Publisher: Taylor & Francis Ltd
      Publication Date: 1/16/2019 12:09:00 AM
      ISBN13: 9781138577671, 978-1138577671
      ISBN10: 1138577677

      Description

      Book Synopsis

      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

        Table of 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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