Optimization and Industry: New Frontiers:
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Boston, MA
Springer US
2003
|
| Schriftenreihe: | Applied Optimization
78 |
| Schlagwörter: | |
| Links: | https://doi.org/10.1007/978-1-4613-0233-9 |
| Beschreibung: | Optimization from Human Genes to Cutting Edge Technologies The challenges faced by industry today are so complex that they can only be solved through the help and participation of optimization ex perts. For example, many industries in e-commerce, finance, medicine, and engineering, face several computational challenges due to the mas sive data sets that arise in their applications. Some of the challenges include, extended memory algorithms and data structures, new program ming environments, software systems, cryptographic protocols, storage devices, data compression, mathematical and statistical methods for knowledge mining, and information visualization. With advances in computer and information systems technologies, and many interdisci plinary efforts, many of the "data avalanche challenges" are beginning to be addressed. Optimization is the most crucial component in these efforts. Nowadays, the main task of optimization is to investigate the cutting edge frontiers of these technologies and systems and find the best solutions for their realization. Optimization principles are evident in nature (the perfect optimizer) and appeared early in human history. Did you ever watch how a spider catches a fly or a mosquito? Usually a spider hides at the edge of its net. When a fly or a mosquito hits the net the spider will pick up each line in the net to choose the tense line? Some biologists explain that the line gives the shortest path from the spider to its prey |
| Umfang: | 1 Online-Ressource (XII, 340 p) |
| ISBN: | 9781461302339 9781461379539 |
| ISSN: | 1384-6485 |
| DOI: | 10.1007/978-1-4613-0233-9 |
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| 500 | |a Optimization from Human Genes to Cutting Edge Technologies The challenges faced by industry today are so complex that they can only be solved through the help and participation of optimization ex perts. For example, many industries in e-commerce, finance, medicine, and engineering, face several computational challenges due to the mas sive data sets that arise in their applications. Some of the challenges include, extended memory algorithms and data structures, new program ming environments, software systems, cryptographic protocols, storage devices, data compression, mathematical and statistical methods for knowledge mining, and information visualization. With advances in computer and information systems technologies, and many interdisci plinary efforts, many of the "data avalanche challenges" are beginning to be addressed. Optimization is the most crucial component in these efforts. Nowadays, the main task of optimization is to investigate the cutting edge frontiers of these technologies and systems and find the best solutions for their realization. Optimization principles are evident in nature (the perfect optimizer) and appeared early in human history. Did you ever watch how a spider catches a fly or a mosquito? Usually a spider hides at the edge of its net. When a fly or a mosquito hits the net the spider will pick up each line in the net to choose the tense line? Some biologists explain that the line gives the shortest path from the spider to its prey | ||
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| id | DE-604.BV042420570 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T17:10:42Z |
| institution | BVB |
| isbn | 9781461302339 9781461379539 |
| issn | 1384-6485 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027855987 |
| oclc_num | 905470309 |
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| physical | 1 Online-Ressource (XII, 340 p) |
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| publishDate | 2003 |
| publishDateSearch | 2003 |
| publishDateSort | 2003 |
| publisher | Springer US |
| record_format | marc |
| series2 | Applied Optimization |
| spellingShingle | Pardalos, Panos M. Optimization and Industry: New Frontiers Mathematics Computer science Mathematical optimization Optimization Operations Research/Decision Theory Operations Research, Management Science Mathematics of Computing Applications of Mathematics Informatik Mathematik |
| title | Optimization and Industry: New Frontiers |
| title_auth | Optimization and Industry: New Frontiers |
| title_exact_search | Optimization and Industry: New Frontiers |
| title_full | Optimization and Industry: New Frontiers edited by Panos M. Pardalos, Victor Korotkikh |
| title_fullStr | Optimization and Industry: New Frontiers edited by Panos M. Pardalos, Victor Korotkikh |
| title_full_unstemmed | Optimization and Industry: New Frontiers edited by Panos M. Pardalos, Victor Korotkikh |
| title_short | Optimization and Industry: New Frontiers |
| title_sort | optimization and industry new frontiers |
| topic | Mathematics Computer science Mathematical optimization Optimization Operations Research/Decision Theory Operations Research, Management Science Mathematics of Computing Applications of Mathematics Informatik Mathematik |
| topic_facet | Mathematics Computer science Mathematical optimization Optimization Operations Research/Decision Theory Operations Research, Management Science Mathematics of Computing Applications of Mathematics Informatik Mathematik |
| url | https://doi.org/10.1007/978-1-4613-0233-9 |
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