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Record Nr. |
UNINA9910703504903321 |
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Autore |
Zinaman Owen |
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Titolo |
A valuation-based framework for considering distributed generation photovoltaic tariff design : preprint / / Owen R. Zinaman, Naìˆm R. Darghouth |
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Pubbl/distr/stampa |
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[Golden, Colo.] : , : National Renewable Energy Laboratory, , 2015 |
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Descrizione fisica |
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1 online resource (5 pages) |
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Collana |
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Soggetti |
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Photovoltaic power generation - Finance |
Distributed resources (Electric utilities) - Costs |
Cost effectiveness |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from title screen (viewed Apr. 16, 2015). |
"February 2015." |
"To be presented at India Smart Grid Week, Bangalore, India, March 2-6, 2015." |
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Nota di bibliografia |
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Includes bibliographical references (pages 4-5). |
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2. |
Record Nr. |
UNINA9910739475303321 |
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Autore |
Sergeyev Yaroslav D. <1963-> |
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Titolo |
Introduction to global optimization exploiting space-filling curves / / Yaroslav D. Sergeyev, Roman G. Strongin, Daniela Lera |
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Pubbl/distr/stampa |
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New York, : Springer, 2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (x, 125 pages) : illustrations (some color) |
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Collana |
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SpringerBriefs in optimization |
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Altri autori (Persone) |
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StronginRoman G |
LeraDaniela |
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Disciplina |
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Soggetti |
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Curves - Mathematical models |
Curves on surfaces - Mathematical models |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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"ISSN: 2190-8354." |
"ISSN: 2191-575X (electronic)." |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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1. Introduction -- 2. Approximations to Peano curves -- 3. Global optimization algorithms using curves to reduce dimensionality of the problem -- 4. Ideas for acceleration -- 5. A brief conclusion -- References. |
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Sommario/riassunto |
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Introduction to Global Optimization Exploiting Space-Filling Curves provides an overview of classical and new results pertaining to the usage of space-filling curves in global optimization. The authors look at a family of derivative-free numerical algorithms applying space-filling curves to reduce the dimensionality of the global optimization problem; along with a number of unconventional ideas, such as adaptive strategies for estimating Lipschitz constant, balancing global and local information to accelerate the search. Convergence conditions of the described algorithms are studied in depth and theoretical considerations are illustrated through numerical examples. This work also contains a code for implementing space-filling curves that can be used for constructing new global optimization algorithms. Basic ideas from this text can be applied to a number of problems including problems with multiextremal and partially defined constraints and non-redundant parallel computations can be organized. Professors, students, researchers, engineers, and other professionals in the fields |
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of pure mathematics, nonlinear sciences studying fractals, operations research, management science, industrial and applied mathematics, computer science, engineering, economics, and the environmental sciences will find this title useful . . |
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