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Titlebook: Applications of Interval Computations; R. Baker Kearfott,Vladik Kreinovich Book 1996 Springer Science+Business Media Dordrecht 1996 algori

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发表于 2025-3-21 19:25:37 | 显示全部楼层 |阅读模式
期刊全称Applications of Interval Computations
影响因子2023R. Baker Kearfott,Vladik Kreinovich
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学科分类Applied Optimization
图书封面Titlebook: Applications of Interval Computations;  R. Baker Kearfott,Vladik Kreinovich Book 1996 Springer Science+Business Media Dordrecht 1996 algori
影响因子Primary Audience for the Book • Specialists in numerical computations who are interested in algorithms with automatic result verification. • Engineers, scientists, and practitioners who desire results with automatic verification and who would therefore benefit from the experience of suc­ cessful applications. • Students in applied mathematics and computer science who want to learn these methods. Goal Of the Book This book contains surveys of applications of interval computations, i. e. , appli­ cations of numerical methods with automatic result verification, that were pre­ sented at an international workshop on the subject in EI Paso, Texas, February 23-25, 1995. The purpose of this book is to disseminate detailed and surveyed information about existing and potential applications of this new growing field. Brief Description of the Papers At the most fundamental level, interval arithmetic operations work with sets: The result of a single arithmetic operation is the set of all possible results as the operands range over the domain. For example, [0. 9,1. 1] + [2. 9,3. 1] = [3. 8,4. 2], where [3. 8,4. 2] = {x + ylx E [0. 9,1. 1] and y E [3. 8,4. 2]}. The power of interval arithmetic co
Pindex Book 1996
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Applications of Interval Computations to Regional Economic Input-Output Models,s industrial sectors of the economy are interrelated and in predicting how these sectors respond to changes in economic activity. In the United States state and regional models are frequently used to help formulate local economic policy. Wassily Leontief is generally credited with the first useful implementation [5].
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Reference work 2021Latest editionIt is proved that if there exists a polynomial-time algorithm for enclosing solutions of linear interval equations with relative overestimation better than . (where . is the number of equations), then P=NP. The result holds for the symmetric case as well.
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Linear Interval Equations: Computing Enclosures with Bounded Relative Overestimation is NP-Hard,It is proved that if there exists a polynomial-time algorithm for enclosing solutions of linear interval equations with relative overestimation better than . (where . is the number of equations), then P=NP. The result holds for the symmetric case as well.
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https://doi.org/10.1007/978-1-4615-9674-5s industrial sectors of the economy are interrelated and in predicting how these sectors respond to changes in economic activity. In the United States state and regional models are frequently used to help formulate local economic policy. Wassily Leontief is generally credited with the first useful implementation [5].
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