Advanced Mathematical Techniques in Engineering Sciences

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  • 電子書籍
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Advanced Mathematical Techniques in Engineering Sciences

  • 著者名:Ram, Mangey (EDT)/Davim, J. Paulo (EDT)
  • 価格 ¥10,447 (本体¥9,498)
  • CRC Press(2018/05/04発売)
  • 夏の総決算!Kinoppy 電子書籍・電子洋書 全点ポイント30倍(~8/31)
  • ポイント 2,820pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9780367781286
  • eISBN:9781351371889

ファイル: /

Description

The goal of this book is to publish the latest mathematical techniques, research, and developments in engineering. This book includes a comprehensive range of mathematics applied in engineering areas for different tasks. Various mathematical tools, techniques, strategies, and methods in engineering applications are covered in each chapter.

Mathematical techniques are the strength of engineering sciences and form the common foundation of all novel disciplines within the field. Advanced Mathematical Techniques in Engineering Sciences provides an ample range of mathematical tools and techniques applied across various fields of engineering sciences. Using this book, engineers will gain a greater understanding of the practical applications of mathematics in engineering sciences.

Features

  • Covers the mathematical techniques applied in engineering sciences
  • Focuses on the latest research in the field of engineering applications
  • Provides insights on an international and transnational scale
  • Offers new studies and research in modeling and simulation

Table of Contents

Chapter 1 Application of the Laplace transform in problems of studying

the dynamic properties of a material system and in engineering

technologies

Lubov Mironova and Leonid Kondratenko

Chapter 2 Fourier series and its applications in engineering

Smita Sonker and Alka Munjal

Chapter 3 Soft computing techniques and applications

Pankaj Kumar Srivastava, Dinesh Bisht, and Mangey Ram

Chapter 4 New approach for solving multi-objective transportation problem

Gurupada Maity and Sankar Kumar Roy

Chapter 5 An application of dual-response surface optimization methodology

to improve the yield of pulp cooking process

Boby John and K.K. Chowdhury

Chapter 6 Time-dependent conflicting bifuzzy set and its applications in

reliability evaluation

Shshank Chaube, S.B. Singh, Sangeeta Pant, and Anuj Kumar

Chapter 7 Recent progress on failure time data analysis of repairable system

Yasuhiro Saito and Tadashi Dohi

Chapter 8 View-count based modeling for YouTube videos and weighted

criteria–based ranking

N. Aggrawal, A. Arora, A. Anand, and M.S. Irshad

Chapter 9 Market segmentation-based modeling: An approach to understand

multiple modes in diffusion curves

A. Anand, R. Aggarwal, and O. Singh

Chapter 10 Kernel estimators for data analysis

Piotr Kulczycki

Chapter 11 A new technique for constructing exact tolerance limits on future

outcomes under parametric uncertainty

N.A. Nechval, K.N. Nechval, and G. Berzins

Chapter 12 Design of neural network–based PID controller for biped robot

while ascending and descending the staircase

Ravi Kumar Mandava and Pandu R. Vundavilli

Chapter 13 Modeling fertility in Murrah bulls with intelligent algorithms

Adesh Kumar Sharma, Ravinder Malhotra, and Atish Kumar Chakravarty

Chapter 14 Computational study of the Coanda flow for V/STOL

Maharshi Subhash and Michele Trancossi

Chapter 15 Introduction to collocation method with application of B-spline

basis functions to solve differential equations

Geeta Arora

Chapter 16 Rayleigh’s approximation method on reflection/refraction

phenomena of plane SH-wave in a corrugated anisotropic structure

Neelima Bhengra

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