The ideal review for your intro to mathematical economics course
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Автор: M.C. Kemp; Y. Kimura Название: Introduction to Mathematical Economics ISBN: 1461262801 ISBN-13(EAN): 9781461262800 Издательство: Springer Рейтинг: Цена: 11173.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: First, we have sought to provide a compact and digestible exposition of some sub-branches of mathematics which are of interest to economists but which are underplayed in mathematical texts and dispersed in the journal literature.
Описание: This is a book on Linear-Fractional Programming (here and in what follows we will refer to it as "LFP"). In linear-fractional programming, the goal is to determine a per- missible allocation of resources that will maximize or minimize some specific showing, such as profit gained per unit of cost, or cost of unit of product produced, etc.
Автор: Kiyotaka Shimizu; Yo Ishizuka; Jonathan F. Bard Название: Nondifferentiable and Two-Level Mathematical Programming ISBN: 1461378958 ISBN-13(EAN): 9781461378952 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The analysis and design of engineering and industrial systems has come to rely heavily on the use of optimization techniques. As the title of the book indicates, our chief concern is with (i) nondifferentiable mathematical programs, and (ii) two-level optimization problems.
Описание: The book demonstrates that scheduling must be combined with project selection and financing, and that scheduling helps to give an answer to the planning issue of the amount of resources required for a project.
Описание: MATLAB is a programme which lends itself to the implementation of most numerical algorithms. This text, which uses MATLAB, gives an overview of structured programming and numerical methods and covers numerical methods for solving a range of problems, from integration to the numerical solution of differential equations.
Описание: Welcome to ANALYZE, designed to provide computer assistance for analyzing linear programs and their solutions. Chapter 4 goes through some elementary exercises to demonstrate computer- assisted analysis and introduce additional conventions of the ANALYZE language.
Описание: Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground in linear programming theory. During the last ten years, a new body of research within the field of optimization research has emerged, which seeks to develop good approximation algorithms for classes of linear programming problems.
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