Dimensioning and Allocation of the Financial Founds of the Company by Using Dynamic Programming

Sãlãgean Liana Ramona () and Pantazi Paula Iulia ()
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Sãlãgean Liana Ramona: „George Bariþiu” University of Braºov, Faculty of Economic Studies
Pantazi Paula Iulia: „George Bariþiu” University of Braºov, Faculty of Economic Studies

Ovidius University Annals, Economic Sciences Series, 2014, vol. XIV, issue 1, 726-731

Abstract: Dynamic Programming is a general algorithm design technique for solving problems defined by or formulated as recurrences with overlapping sub-instances. Dynamic programming is regarded as a particular approach to optimization problems in which a considerable number of decision variables and the objective function and functions that define the restrictions of the problem may have various shapes and properties.[1] Dynamic programming is a very powerful algorithmic paradigm in which a problem is solved by identifying a collection of subproblems and tackling them one by one, smallest first, using the answers to small problems to help figure out larger ones, until the whole lot of them is solved. In dynamic programming we are not given a dag; the dag is implicit

Keywords: Dynamic Programming; Mathematical Models; Programming Model; Financial; Quantitative Methods. (search for similar items in EconPapers)
JEL-codes: C61 (search for similar items in EconPapers)
Date: 2014
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