Accordingly elements have been classed as monads, dyads, triads, etc.
"Scientific American Supplement, No. 324, March 18, 1882" by Various
This suggests that the elements, called by the chemists monads, dyads, triads and so on, consist of one, two, etc.
"Aether and Gravitation" by William George Hooper
In figure 130 one lagging chromosome shows the dyad nature of the products of the division of the tetrad.
"Studies in Spermatogenesis (Part 1 of 2)" by Nettie Maria Stevens
There being six pairs of parallel edges on an octahedron, there are consequently six dyad axes of symmetry.
"Encyclopaedia Britannica, 11th Edition, Volume 7, Slice 7" by Various
What is to become two, must partake of the Dyad: what is to become one, of the Monad.
"Plato and the Other Companions of Sokrates, 3rd ed. Volume II (of 4)" by George Grote
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Jij = Jij − (RiPj − Rj Pi ) Dij = Dij − (RiPj + Rj Pi ) , Similarly remove from the quadrupole and stress tensors the CM coordinate and momentum dyads.
Areal Theory
Yau, International Press Company, 157–223 (1994) [NR69] Nazarova, L.A., Roiter, A.V.: Finitely generated modules over a dyad of two local Dedekind rings, and ﬁnite groups with an Abelian normal divisor of index p.
Simple vector bundles on plane degenerations of an elliptic curve
AA = fA · pAA is the AA dyad probability, and so on.
Random copolymer adsorption: Morita approximation compared to exact numerical simulations
Beyond values depending on the sole distribution of symbols, one may consider pairs (dyads) or sequences of three (triads) adjacent outcomes.
Assessing Cognitive Randomness: A Kolmogorov Complexity Approach
In a truly (inﬁnite) random sequence, any dyad should appear with the same probability.
Assessing Cognitive Randomness: A Kolmogorov Complexity Approach
Any distance between the distribution of dyads or triads (and so on) and uniformity may therefore be thought of as a measure of randomness.
Assessing Cognitive Randomness: A Kolmogorov Complexity Approach
One may also consider dyads of outcomes separated by 1, 2 or k elements in the sequence, which is done, for instance, through C Ck and CRk coeﬃcients, a generalization of C C1 and CR1 .
Assessing Cognitive Randomness: A Kolmogorov Complexity Approach
The algorithm alternates between proposing a change to a dyad with probability pdyad and proposing a change to a nodal variable.
Exponential-family Random Network Models
Because the graphs for social networks are usually sparse, when proposing a dyad change the algorithm selects an edge to remove with probability pedge and a random dyad to toggle with probability 1 − pedge .
Exponential-family Random Network Models
We found that this leads to better mixing than simply toggling a random dyad (Morris et al., 2008).
Exponential-family Random Network Models
This, of course, is because neither of these dyads is made up of two equal elements.
A Mathematical Random Number Generator (MRNG)
The digits obtained by the procedure described, from the dyads appearing explicitly in ﬁgure 1, are shown in ﬁgure 2.
A Mathematical Random Number Generator (MRNG)
Only the digits obtained from the dyads appearing explicitly in ﬁgure 1 are shown.
A Mathematical Random Number Generator (MRNG)
The expression p(0, 0) refers to the probability that a dyad (i.e., a sequence of two consecutive bits) selected at random from that string will be (0, 0).
A Mathematical Random Number Generator (MRNG)
Considering the above, for random binary strings of various lengths, one can calculate – from a theoretical perspective – the most probable numbers for the different dyads, triads, tetrads, pentads and the transitions that will be present in them.
A Mathematical Random Number Generator (MRNG)
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