American Journal of Modeling and Optimization
ISSN (Print): 2333-1143 ISSN (Online): 2333-1267 Website: http://www.sciepub.com/journal/ajmo Editor-in-chief: Dr Anil Kumar Gupta
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American Journal of Modeling and Optimization. 2016, 4(1), 1-12
DOI: 10.12691/ajmo-4-1-1
Open AccessArticle

Modeling and Optimization of Dynamical Systems by Unconventional Spreadsheet Functions

Chahid Kamel Ghaddar1,

1ExcelWorks LLC, Sharon, MA,USA

Pub. Date: March 09, 2016

Cite this paper:
Chahid Kamel Ghaddar. Modeling and Optimization of Dynamical Systems by Unconventional Spreadsheet Functions. American Journal of Modeling and Optimization. 2016; 4(1):1-12. doi: 10.12691/ajmo-4-1-1

Abstract

The spreadsheet computational engine is exploited via a nonstandard mechanism to support a functional formulation for constrained optimization of parameterized differential systems by unconventional spreadsheet functions. The nonstandard mechanism enables encapsulation of numerical algorithms into functions which take variable formulas as a new type of input argument while retaining purity and recursion properties. This is in contrast to conventional spreadsheet functions which are restricted to static input types. Several solvers for differential equations and nonlinear minimization are developed which serve as building blocks for the functional formulation. The latter makes it possible to express a program for a constrained dynamical minimization problem in as few as three formula evaluations in Excel as demonstrated by several examples. The solver functions integrate seamlessly with MS Excel, and propel the spreadsheet beyond traditional applications as a powerful tool for exploring dynamical optimization problems.

Keywords:
dynamical optimization optimal control differential equations spreadsheet functional paradigm

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