Abstract:
:Many dynamic programming algorithms consist of a 'forward pass' computation to optimize a cost function, followed by a 'choice recovery' computation to construct a configuration that optimizes the cost function. 'Checkpointing' is a method to perform choice recovery using limited storage. During a forward pass, checkpoints in an optimal configuration are identified. Then recursion is used to fill in the portions of an optimal configuration between successive checkpoints. Choosing the number of checkpoints to use mediates a tradeoff between storage and speed.
journal_name
Bull Math Bioljournal_title
Bulletin of mathematical biologyauthors
Bax Edoi
10.1016/j.bulm.2004.10.002subject
Has Abstractpub_date
2005-07-01 00:00:00pages
719-36issue
4eissn
0092-8240issn
1522-9602pii
S0092-8240(04)00114-4journal_volume
67pub_type
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journal_title:Bulletin of mathematical biology
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更新日期:2005-09-01 00:00:00
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journal_title:Bulletin of mathematical biology
pub_type: 杂志文章
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journal_title:Bulletin of mathematical biology
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journal_title:Bulletin of mathematical biology
pub_type: 杂志文章
doi:10.1007/s11538-012-9752-y
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journal_title:Bulletin of mathematical biology
pub_type: 杂志文章
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journal_title:Bulletin of mathematical biology
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更新日期:2018-07-01 00:00:00
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journal_title:Bulletin of mathematical biology
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journal_title:Bulletin of mathematical biology
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journal_title:Bulletin of mathematical biology
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journal_title:Bulletin of mathematical biology
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