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Linear Programming 15.0%OFF

Linear Programming

by J. K. Sharma

  • ISBN

    :  

    9780230634367

  • Publisher

    :  

    MACMILLAN INDIA LIMITED

  • Subject

    :  

    Business & Management

  • Binding

    :  

    Paperback

  • Pages

    :  

    512

  • Year

    :  

    2008

345.0

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  • Description

    The book helps readers in understanding problem-solving methods based on a careful discussion of model formulation, solution procedures and analysis. It is intended to serve as a core textbook for students of BBA, B Com, CA and ICWA courses who need to understand basic concepts of linear programming and apply results directly to real-life business problems. The book also suits requirements of students of BA / BSc (Maths and Statistics) BCA and BIT courses who need both theoretical and practical knowledge of linear programming.

  • Author Biography

    Prof. J K Sharma is Executive Director, Institute of Management Studies, Noida. He was formerly Professor in the Faculty of Management Studies, University of Delhi. He has over 28 years of teaching experience in Operations Research, Business Statistics, Business Mathematics and Logistics Management. He was awarded the Madan Mohan Gold Medal for securing First-class-First position in the MSc (Mathematics) examination. He was a Visiting Professor at Group ESSEC in France during 1992-93 and has written 16 books and over 100 research papers / case studies. He is a member of the Board of Studies/ Academic Council of several schools of management and universities in the country. He is also involved in conducting executive development programmes for both public and private sectors. Table of Contents 1. L P Approach to Decision Making 2. Applications and Model Formulation 3. Graphical Method 4. Theory of Simplex Method 5. Applications of Simplex Method 6. Duality 7. Sensitivity Analysis 8. Parametric Analysis 9. Dual-Simplex Method 10. Revised Simplex Method 11. Bounded Variables L P Problem 12. Integer Linear Programming 13. Goal Programming 14. Transportation Problem 15. Assignment Problem 16. Appendix A: Pre- study of Linear Programming

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