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- Evgeny Shindin, Gideon Weiss
- SIAM Journal on Optimization
- 2014

We consider Continuous Linear Programs over a continuous finite time horizon T , with linear cost coefficient functions and linear right hand side functions and a constant coefficient matrix, where we search for optimal solutions in the space of measures or of functions of bounded variation. These models generalize the Separated Continuous Linear… (More)

- Henry Broodney, Michael Masin, +6 authors Imad Sanduka
- CSDM
- 2014

- Evgeny Shindin, Gideon Weiss
- SIAM Journal on Optimization
- 2015

We consider Continuous Linear Programs over a continuous finite time horizon T , with linear cost coefficient functions, linear right hand side functions, and a constant coefficient matrix, as well as their symmetric dual. We search for optimal solutions in the space of measures or of functions of bounded variation. These models generalize the Separated… (More)

- Michael Masin, Yael Dubinsky, Michal Iluz, Evgeny Shindin, Abraham Shtub
- CSDM
- 2015

- Evgeny Shindin, Odellia Boni, Michael Masin
- CSER
- 2014

The data of real-world optimization problems are usually uncertain, that is especially true for early stages of system design. Data uncertainty can significantly affect the quality of the nominal solution. Robust Optimization (RO) methodology uses chance and robust constraints to generate a robust solution immunized against the effect of data uncertainty.… (More)

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