Principles of mathematics in operations research
Material type: TextPublication details: Springer New York 2007Description: xii, 297 pISBN:- 9781441942500
- 658.4033 KAN
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Book | Indian Institute of Management LRC General Stacks | Operations Management & Quantitative Techniques | 658.4033 KAN (Browse shelf(Opens below)) | 1 | Available | 001174 |
Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: Operations Management & Quantitative Techniques Close shelf browser (Hides shelf browser)
658.4033 AND Quantitative methods for business | 658.4033 DAE Management science: decision making through systems thinking | 658.4033 GUP Quantitative techniques for decision making | 658.4033 KAN Principles of mathematics in operations research | 658.4033 KEL Statistics for management and economics | 658.4033 KEL BSTAT: a South-Asian perspective | 658.4033 MIR Introduction to optimization-based decision making |
About this Textbook
Reviews
Principles of Mathematics in Operations Research is a comprehensive survey of the mathematical concepts and principles of industrial mathematics. Its purpose is to provide students and professionals with an understanding of the fundamental mathematical principles used in Industrial Mathematics/OR in modeling problems and application solutions.
All the concepts presented in each chapter have undergone the learning scrutiny of the author and his students. The conceptual relationships within the chapter material have been developed in the classroom experience working with the students' level of understanding. The illustrative material throughout the book (i.e., worked-out problems and examples of the mathematical principles) was refined for student comprehension as the manuscript developed through its iterations, and the chapter exercises are refined from the previous year's exercises. In sum, the author has carefully developed a pedagogically strong survey textbook of OR and Industrial Mathematics.
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