نتایج جستجو برای: constant and time
تعداد نتایج: 17005768 فیلتر نتایج به سال:
While the relationship of time and space is an established topic in traditional centralised complexity theory, this is not the case in distributed computing. We aim to remedy this by studying the time and space complexity of algorithms in a weak message-passing model of distributed computing. While a constant number of communication rounds implies a constant number of states visited during the ...
what miller wants is a theatre of heightened consciousness. he speaks of two passions in a man, the passion to "feel" and the passion "know". he belives that we can have more of the latter. he says: drama is akin to the other inventions of man in that it ought to help us know more and not merely to spend our feelings. the writing of the crucible shows us that he is trying to give more heightene...
abstract previous researches have shown success of growth hormones usage on flower production increase, pod and prevention of abscission of them in some of the pulses. two tests were done, in order to find out the effects of growth hormones to on flower production increase, pod and chick pea yield composites in farmer conditions (2010-11) and green house conditions as factorial on the proje...
This paper introduces a new key space for CSIDH and algorithm constant-time evaluation of the group action. The is not useful with previous algorithms, spaces, but combining produces speed records CSIDH. For example, CSIDH-512 256-bit space, best results used 789000 multiplications more than 200 million Skylake cycles; this uses 438006 125.53 cycles.
The study of time has a long history and is still ongoing. term formulated by Isaac Newton was coined in the 17th century, so naturally it could not relate to thermodynamics. Since passage aging are inalienable components human experience, Newton's concept alive. W.G. Leibniz I. Kant mainly questioned absoluteness time. This paper introduces definition justifies thesis that thermodynamic proces...
The recent advancements in graph neural networks (GNNs) have led to state-of-the-art performances various applications, including chemo-informatics, question-answering systems, and recommender systems. However, scaling up these methods huge graphs, such as social Web remains a challenge. In particular, the existing for accelerating GNNs either are not theoretically guaranteed terms of approxima...
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