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David H. Marks

Researcher at Massachusetts Institute of Technology

Publications -  40
Citations -  2465

David H. Marks is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Redistribution of income and wealth & Stochastic programming. The author has an hindex of 17, co-authored 40 publications receiving 2317 citations.

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A review and evaluation of multiobjective programing techniques

TL;DR: In this article, three criteria are established for the evaluation of the utility of multiobjective programing techniques for water resource planning: computational efficiency, explicitness of trade offs among objectives, and the amount of information generated for decision making.
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Water Distribution Reliability: Simulation Methods

TL;DR: Simulation enables computation of a much broader class of reliability measures than do analytical methods, but it requires considerably more computer time and its results are less easy to generalize.
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An Analysis of Private and Public Sector Location Models

TL;DR: In this paper, the authors draw together recent models of location and compare them as to structure, criteria, and constraints, showing that the two types of problem have the same conceptual foundation, but formats which differ of necessity due to our inability to relate social utility to dollar value.
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Water Distribution Reliability: Analytical Methods

TL;DR: Two probabilistic measures, reachability and connectivity, are explored for use in water distribution systems and two algorithms for their computation are presented, one for series-parallel networks and one for general networks.
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A new methodology for modelling break failure patterns in deteriorating water distribution systems: Theory

TL;DR: In this article, two case studies are presented, where Proportional Hazards and Poisson type models are applied to predict failure probabilities in deteriorating water pipes, and it is shown that breaks follow a nonhomogeneous Markov Process during the early stages of deterioration, that is, the failure probability is a function of time and also depends, among other things, on the number of previous breaks.