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Elements of numerical mathematical e...
~
Romeo, Giovanni ((Independent financial advisor),)
Elements of numerical mathematical economics with Excel = static and dynamic optimization /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Elements of numerical mathematical economics with Excel/ Giovanni Romeo
其他題名:
static and dynamic optimization /
作者:
Romeo, Giovanni
出版者:
London ;Academic Press, an imprint of Elsevier, : 2020.,
面頁冊數:
1 online resource (vii, 808 p.) :ill. :
標題:
Electronic spreadsheets - Computer programs. -
電子資源:
https://www.sciencedirect.com/science/book/9780128176481
ISBN:
9780128176498 (electronic bk.)
Elements of numerical mathematical economics with Excel = static and dynamic optimization /
Romeo, Giovanni(Independent financial advisor),
Elements of numerical mathematical economics with Excel
static and dynamic optimization /[electronic resource] :Giovanni Romeo - London ;Academic Press, an imprint of Elsevier,2020. - 1 online resource (vii, 808 p.) :ill.
Includes bibliographical references and index
Elements of Numerical Mathematical Economics with Excel: Static and Dynamic Optimization shows readers how to apply static and dynamic optimization theory in an easy and practical manner, without requiring the mastery of specific programming languages that are often difficult and expensive to learn. Featuring user-friendly numerical discrete calculations developed within the Excel worksheets, the book includes key examples and economic applications solved step-by-stepand then replicated in Excel. After introducing the fundamental tools of mathematical economics, the book explores the classical static optimization theory of linear and nonlinear programming, applying the core concepts of microeconomics and some portfolio theory. This provides a background for the more challenging worksheet applications of the dynamic optimization theory. The book also covers special complementary topics such as inventory modelling, data analysis for business and economics, and the essential elements of Monte Carlo analysis. Practical and accessible, Elements of Numerical Mathematical Economics with Excel: Static and Dynamic Optimization increases the computing power of economists worldwide. This book is accompanied by a companion website that includes Excel examples presented in the book, exercises, and other supplementary materials that will further assist in understanding this useful framework.
ISBN: 9780128176498 (electronic bk.)Subjects--Uniform Titles:
Microsoft Excel (Computer file)
Subjects--Topical Terms:
567925
Electronic spreadsheets
--Computer programs.Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: HB143.7 / .R65 2020
Dewey Class. No.: 519.6
Elements of numerical mathematical economics with Excel = static and dynamic optimization /
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Elements of Numerical Mathematical Economics with Excel: Static and Dynamic Optimization shows readers how to apply static and dynamic optimization theory in an easy and practical manner, without requiring the mastery of specific programming languages that are often difficult and expensive to learn. Featuring user-friendly numerical discrete calculations developed within the Excel worksheets, the book includes key examples and economic applications solved step-by-stepand then replicated in Excel. After introducing the fundamental tools of mathematical economics, the book explores the classical static optimization theory of linear and nonlinear programming, applying the core concepts of microeconomics and some portfolio theory. This provides a background for the more challenging worksheet applications of the dynamic optimization theory. The book also covers special complementary topics such as inventory modelling, data analysis for business and economics, and the essential elements of Monte Carlo analysis. Practical and accessible, Elements of Numerical Mathematical Economics with Excel: Static and Dynamic Optimization increases the computing power of economists worldwide. This book is accompanied by a companion website that includes Excel examples presented in the book, exercises, and other supplementary materials that will further assist in understanding this useful framework.
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https://www.sciencedirect.com/science/book/9780128176481
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