## Computational complexity and feasibility of data processing and interval computationsThe input data for data processing algorithms come from measurements and are hence not precise. We therefore need to estimate the accuracy of the results of data processing. It turns out that even for the simplest data processing algorithms, this problem is, in general, intractable. This book describes for what classes of problems interval computations (i.e. data processing with automatic results verification) are feasible, and when they are intractable. This knowledge is important, e.g. for algorithm developers, because it will enable them to concentrate on the classes of problems for which general algorithms are possible. |

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### Contents

THE NOTIONS OF FEASIBILITY | 23 |

IN THE GENERAL CASE | 41 |

BASIC PROBLEM OF INTERVAL | 53 |

Copyright | |

23 other sections not shown

### Other editions - View all

Computational Complexity and Feasibility of Data Processing and Interval ... V. Kreinovich,A.V. Lakeyev,J. Rohn,P.T. Kahl No preview available - 2010 |

Computational Complexity and Feasibility of Data Processing and Interval ... V. Kreinovich,A.V. Lakeyev,J. Rohn,P.T. Kahl No preview available - 2013 |

### Common terms and phrases

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