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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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楼主: metabolism
发表于 2025-3-26 21:22:52 | 显示全部楼层
Interval Arithmetic in Quantum Mechanics,le [9, 13, 20, 39, 38], and their applications in [10, 11, 12, 3, 4, 5,14,15,16,17,18,19, 20]). The purpose of this review is to select a piece of that body of work, and to give a more or less detailed account, both of the quantum mechanical problem surrounding the computer work and of the computer
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Solving Optimization Problems with Help of the UniCalc Solver,possibly inexact data. UniCalc uses the computation techniques based on . [13], which can be regarded as an analogue of constraint propagation with interval labels [4]. To implement this method, algorithms of interval mathematics are used, so UniCalc can also be used to solve interval problems. Anot
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Automatically Verified Arithmetic on Probability Distributions and Intervals, histograms. Histograms are composed of bars, each with an associated interval and probability mass. A histogram discretizes a probability distribution function in that each bar represents a portion of it, with the area of the bar equal to the area of the distribution function over that part of its
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Nested Intervals and Sets: Concepts, Relations to Fuzzy Sets, and Applications,e obtained an estimate . for a quantity . = .(xi,…,xn); we know the intervals x. of possible values of . ., and we want to find the interval y of possible values of .. Interval computations are one of the main techniques for solving this problem..In some cases, for each i, in addition to the . inter
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Fuzzy Interval Inference Utilizing the Checklist Paradigm and BK-Relational Products, It is often overlooked that many-valued logic (MVL) reasoning has a richer inference rule base than the crisp (i.e. classical two-valued) logic. Indeed some rules that are not possible in the crisp logic (which is point-based) . to existence when we accept intervals as the basic elements of the sem
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Computing Uncertainty in Interval Based Sets,rval-Valued Fuzzy Sets (IVFS) will be shown to describe both fuzziness and nonspecificity in their membership degrees, while a structure called an . further introduces conflict. A more realistic model of uncertainty is described by .-fuzzy sets, interval-valued .-fuzzy sets, and .-evidence sets, whe
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Software and Hardware Techniques for Accurate, Self-Validating Arithmetic,-validating arithmetic. Software tools include variable-precision software packages, interval arithmetic libraries, scientific programming languages, computer algebra systems, and numerical problem solving environments. Hardware designs include coprocessors that support the directed rounding modes a
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