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Advances in Optimization and Linear Programming

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Paperback / softback
194 Pages
8 July 2024
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This new volume provides the information needed to understand the simplex method, the revised simplex method, dual simplex method, and more for solving linear programming problems.

Following a logical order, the book first gives a mathematical model of the linear problem programming and describes the usual assumptions under which the problem is solved. It gives a brief description of classic algorithms for solving linear programming problems as well as some theoretical results. It goes on to explain the definitions and solutions of linear programming problems, outlining the simplest geometric methods and showing how they can be implemented. Practical examples are included along the way. The book concludes with a discussion of multi-criteria decision-making methods.

Advances in Optimization and Linear Programming is a highly useful guide to linear programming for professors and students in optimization and linear programming.

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    Product Details
    ISBN-13
    9781774637418
    Author
    Ivan Stanimirović
    Publisher
    Apple Academic Press
    Published
    8 July 2024
    Format
    Paperback / softback
    Pages
    194

    This product hasn't received any reviews yet. Be the first to review this product!

    RRP: $174.99
    $173.00
    Ships in 2-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Advances in Optimization and Linear Programming

    RRP: $174.99
    $173.00

    Description

    This new volume provides the information needed to understand the simplex method, the revised simplex method, dual simplex method, and more for solving linear programming problems.

    Following a logical order, the book first gives a mathematical model of the linear problem programming and describes the usual assumptions under which the problem is solved. It gives a brief description of classic algorithms for solving linear programming problems as well as some theoretical results. It goes on to explain the definitions and solutions of linear programming problems, outlining the simplest geometric methods and showing how they can be implemented. Practical examples are included along the way. The book concludes with a discussion of multi-criteria decision-making methods.

    Advances in Optimization and Linear Programming is a highly useful guide to linear programming for professors and students in optimization and linear programming.

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