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Mathematical methods and models in economic planning, management and budgeting / [Book] / Galimkair Mutanov.

By: Material type: TextTextEdition: Second editionDescription: xiv, 356 pages. : illustration. ; 25 cmISBN:
  • 9783662451410 (hard back)
Subject(s): DDC classification:
  • 332.015118
Other classification:
  • 332.015118
Summary: This book describes a system of mathematical models and methods that can be used to analyze real economic and managerial decisions and to improve their effectiveness. Application areas include: management of development and operation budgets, assessment and management of economic systems using an energy entropy approach, equation of exchange rates and forecasting foreign exchange operations, evaluation of innovative projects, monitoring of governmental programs, risk management of investment processes, decisions on the allocation of resources, and identification of competitive industrial clusters. The proposed methods and models were tested on the example of Kazakhstan’s economy, but the generated solutions will be useful for applications at other levels and in other countries. .
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books Junaid Zaidi Library, COMSATS University Islamabad Ground Floor 332.015118 MUT-M (Browse shelf(Opens below)) Available 52526
Books Books Junaid Zaidi Library, COMSATS University Islamabad 2nd Floor 332.015118 MUT-M (Browse shelf(Opens below)) Available 59692
Total holds: 0

This book describes a system of mathematical models and methods that can be used to analyze real economic and managerial decisions and to improve their effectiveness. Application areas include: management of development and operation budgets, assessment and management of economic systems using an energy entropy approach, equation of exchange rates and forecasting foreign exchange operations, evaluation of innovative projects, monitoring of governmental programs, risk management of investment processes, decisions on the allocation of resources, and identification of competitive industrial clusters. The proposed methods and models were tested on the example of Kazakhstan’s economy, but the generated solutions will be useful for applications at other levels and in other countries. .

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