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        Mathematics of Economics and Business

        Proposal review

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        Author(s)
        Werner, Frank
        Sotskov, Yuri N.
        Language
        English
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        Abstract
        For all students who wish to understand current economic and business literature, knowledge of mathematical methods has become a prerequisite. Clear and concise, with precise definitions and theorems, Werner and Sotskov cover all the major topics required to gain a firm grounding in this subject including sequences, series, applications in finance, functions, differentiations, differentials and difference equations, optimizations with and without constraints, integrations and much more. Containing exercises and worked examples, precise definitions and theorems as well as economic applications, this book provides the reader with a comprehensive understanding of the mathematical models and tools used in both economics and business.
        URI
        https://library.oapen.org/handle/20.500.12657/102241
        Keywords
        Basic Feasible Solution; inverse; Non-basic Variable; mapping; Local Extreme Point; horners; Pivot Row; scheme; Pivot Column; linear; Linear Equation; real; Point X0; number; Pivoting Step; cos; Linear Inequalities; equations; Horner’s Scheme; matrix; Characteristic Equation; Closed Interval; Raw Material R1; Basic Variable; Extreme Point; Nonbasic Variable; Objective Row; Local Maximum Point; Cos 2x; Coefficients Gj
        DOI
        10.4324/9780203401385
        ISBN
        9781134319312, 9781134319312, 9780203401385, 9780415332811, 9780415332804, 9781134319305, 9781134319268
        OCN
        1058424246
        Publisher
        Taylor & Francis
        Publisher website
        https://taylorandfrancis.com/
        Publication date and place
        Oxford, 2006
        Imprint
        Routledge
        Classification
        Applied mathematics
        Econometrics and economic statistics
        Pages
        536
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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