公理 发表于 2025-3-27 00:24:00

Novel Reconstructability Analysis Circuits and their Reversible Realizations, Analysis (RA) is an important decomposition technique that is used widely in system science area to decompose qualitative data . This kind of decomposition is commonly used in the decomposition of data obtained in the social and system science fields, and overlaps with othe

全部逛商店 发表于 2025-3-27 02:00:11

New Reversible Structures: Reversible Nets, Reversible Decision Diagarams, and Reversible Cascades,e these reversible structures exhibit certain regularities, yet they generate a big “garbage” at the output which requires the use of the mirror image (i.e., inverse) reversible circuit to eliminate such “garbage”. This Chapt. will provide a variety of new reversible structures, which can possess ad

鸟笼 发表于 2025-3-27 08:10:41

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胰脏 发表于 2025-3-27 13:30:45

Quantum Logic Circuits for Reversible Structures,y possible technologies, including optical , and CMOS . We are interested in this Chapt. with the implementation of the reversible structures using quantum logic circuits. This will be a second step, after the reversibility step from Chapts. 6, 7, and 8,

Insensate 发表于 2025-3-27 17:21:45

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陪审团每个人 发表于 2025-3-27 19:17:10

Conclusions, dense ICs. The real challenge is to design reliable systems that consume as little power as possible and in which the signals are processed and transmitted at very high speeds with very high signal integrity. The tools that are used to design ICs using the conventional design methodologies apply th

人类的发源 发表于 2025-3-28 01:53:02

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optic-nerve 发表于 2025-3-28 04:22:29

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BIBLE 发表于 2025-3-28 06:38:07

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软弱 发表于 2025-3-28 13:57:53

Novel Reconstructability Analysis Circuits and their Reversible Realizations,est decomposition of qualitative data using Lattice-Of-Structure (LOS) (cf. Fig. 7.1) as representation (generation) and contingency tables (for probabilistic data) for evaluation (minimization of error).
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查看完整版本: Titlebook: Reversible Logic Synthesis; From Fundamentals to Anas N. Al-Rabadi Book 2004 Springer-Verlag Berlin Heidelberg 2004 Boolean function.Comput