£97.00

CRC Press An Introduction to Optimization Techniques

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Description

Product Description An Introduction to Optimization Techniques introduces the basic ideas and techniques of optimization. Optimization is a precise procedure using design constraints and criteria to enable the planner to find the optimal solution. Optimization techniques have been applied in numerous fields to deal with different practical problems. This book is designed to give the reader a sense of the challenge of analyzing a given situation and formulating a model for it while explaining the assumptions and inner structure of the methods discussed as fully as possible. It includes real-world examples and applications making the book accessible to a broader readership. Features Each chapter begins with the Learning Outcomes (LO) section, which highlights the critical points of that chapter. All learning outcomes, solved examples and questions are mapped to six Bloom Taxonomy levels (BT Level). Book offers fundamental concepts of optimization without becoming too complicated. A wide range of solved examples are presented in each section after the theoretical discussion to clarify the concept of that section. A separate chapter on the application of spreadsheets to solve different optimization techniques. At the end of each chapter, a summary reinforces key ideas and helps readers recall the concepts discussed. The wide and emerging uses of optimization techniques make it essential for students and professionals. Optimization techniques have been applied in numerous fields to deal with different practical problems. This book serves as a textbook for UG and PG students of science, engineering, and management programs. It will be equally useful for Professionals, Consultants, and Managers. About the Author Vikrant Sharma is working as an Assistant Professor in the Department of Mechanical Engineering, Mody University of Science and Technology, Lakshmangarh, Rajasthan. India. He was graduated in Production Engineering from University of Pune in the year 2004. He obtained Master’s degree in Manufacturing System Engineering from MNIT Jaipur in the year 2007. He has research and teaching experience of about 13 years and about 10 publications in international journals of repute. He attended Two months course on Operation Research by NPTEL and conducted by IIT Madras, April 2015. He also won the first prize (100000 INR) for the book ‘CNC Machines and Automation’ from AICTE in the all India level competition under the scheme named “TAKNIKI PATHYAPUSTAK PURASKAR YOJANA-2014” (Technical Text Book Prize distribution Scheme of 2014). He is life member of the Institution of Engineers (India) and Institution of Engineering and Technology (IET, UK). His research interests include Industrial engineering, optimization techniques, production and operations management, plant layout, multicriteria decision making and product design. Dr. Vinod Kumar Jain earned an MBA, M Tech (CS), and a PhD in Computer Science from Devi Ahilya University, Indore. He has been involved in teaching, training, research, and administration for the past 24 years, which includes his 14 years of experience as Director/Dean/Dean Academics in various Institutions/Universities of repute in India. He has rich experiences in autonomy implementation, ABET (Accreditation Board for Engineering and Technology), United States; IET Accreditation, UK; NBA (National Board of Accreditation), India; and NAAC (National Assessment and Accreditation Council), India accreditations. He is a recipient of Rashtriya Shiksha Gaurav Puruskar-2016 by Center for Education Growth and Research (CEGR), New Delhi, Academic leader of the year 2018 Award by ICCI,New Delhi and an Accredited Management Teacher by AIMA (All India Management Association), New Delhi. There are more than 220 publications to his credit, including Books, Monographs, Research Papers, popular articles etc. Dr. Jain has organized many Conferences/ Seminars/QIPs and delivered more than 50 keynot

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
20 April 2021
Listed Since
09 August 2020

Barcode

No barcode data available

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