Complementarity-based nonlinear programming techniques for optimal mixing in gas networks

We consider nonlinear and nonsmooth mixing aspects in gas transport optimization problems. As mixed-integer reformulations of pooling-type mixing models already render small-size instances computationally intractable, we investigate the applicability of smooth nonlinear programming techniques for eq...

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Auteurs principaux: FalkM. Hante, Martin Schmidt
Format: article
Langue:EN
Publié: Elsevier 2019
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Accès en ligne:https://doaj.org/article/46fe41ee91ba46ccbd56fbfe84dedbbc
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