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Construction Management and Economics Volume 31, 2013 - Issue 3
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Articles

Supporting financial decision-making based on time value of money with singularity functions in cash flow models

Gunnar Lucko Department of Civil Engineering, Catholic University of America, Washington, 20064, USACorrespondence[email protected]
Pages 238-253 | Received 16 Jul 2012, Accepted 13 Nov 2012, Published online: 05 Mar 2013

Citations (9)

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Yi Su & Gunnar Lucko. (2015) Synthetic cash flow model with singularity functions for unbalanced bidding scenarios. Construction Management and Economics 33:1, pages 35-54.
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Articles from other publishers (8)

Haiyan Xie, Ying HongIoannis Brilakis. (2022) Analysis of User Needs in Time-Related Risk Management for Holistic Project Understanding. Journal of Construction Engineering and Management 148:4.
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Emre Cevikcan & Yildiz Kose. (2021) Optimization of profitability and liquidity for residential projects under debt and equity financing. Built Environment Project and Asset Management 11:2, pages 369-391.
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Sameh T. Al-Shihabi & Mohammad M. AlDurgam. (2017) A max-min ant system for the finance-based scheduling problem. Computers & Industrial Engineering 110, pages 264-276.
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Yi SuGunnar Lucko. (2015) Optimum Present Value Scheduling Based on Synthetic Cash Flow Model with Singularity Functions. Journal of Construction Engineering and Management 141:11.
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Yi SuGunnar Lucko. (2015) Synthetic Cash Flow Model with Singularity Functions. I: Theory for Periodic Phenomena and Time Value of Money. Journal of Construction Engineering and Management 141:3.
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Yi Su & Gunnar Lucko. (2014) Unevenly Distributed Markup in Cash Flow Modeling with Singularity Functions. Unevenly Distributed Markup in Cash Flow Modeling with Singularity Functions.
Gunnar Lucko & Yi Su. (2014) Singularity Functions as New Tool for Integrated Project Management. Procedia Engineering 85, pages 339-350.
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Yi Su & Gunnar Lucko. (2013) Novel use of singularity functions to model periodic phenomena in cash flow analysis. Novel use of singularity functions to model periodic phenomena in cash flow analysis.

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