Introduction optimization techniques von sharma vikrant (16 Ergebnisse)

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Hardback. Zustand: New. 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.FeaturesEach chapter begins with the Learning Outcomes (LO) section, which highlights the critical points of that chapterAll learning outcomes, solved examples and questions are mapped to six Bloom Taxonomy levels (BT Level)Book offers fundamental concepts of optimization without becoming too complicatedA wide range of solved examples are presented in each section after the theoretical discussion to clarify the concept of that sectionA separate chapter on the application of spreadsheets to solve different optimization techniquesAt the end of each chapter, a summary reinforces key ideas and helps readers recall the concepts discussedThe 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.…

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Hardback. Zustand: New. 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.FeaturesEach chapter begins with the Learning Outcomes (LO) section, which highlights the critical points of that chapterAll learning outcomes, solved examples and questions are mapped to six Bloom Taxonomy levels (BT Level)Book offers fundamental concepts of optimization without becoming too complicatedA wide range of solved examples are presented in each section after the theoretical discussion to clarify the concept of that sectionA separate chapter on the application of spreadsheets to solve different optimization techniquesAt the end of each chapter, a summary reinforces key ideas and helps readers recall the concepts discussedThe 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.…

Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 Pun.…

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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book introduces the basic ideas and techniques of optimization. It 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.…