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Here we adopt the formal series method because it is easier to compute by algebra system.
It is easier to compute the POA of the circular polarization using Eq. (4).
Although the bound in (8) is tighter than the bound in (2), it is easier to compute the bound in (2) for the M-spectral radius of a given tensor.
In Algorithm 3.1, the set (C_{k}) is a half-space, and hence it is easier to compute the generalized projection of the current iterate onto it than that onto a general closed convex set (H_{n}cap W_{n}) or (H_{n}) constructed in [9, 18] to obtain the next iterate.
(ii) In Algorithm 3.1, the set (C_{k}) is a half-space, and hence it is easier to compute the generalized projection of the current iterate onto it than that onto a general closed convex set (H_{n}cap W_{n}) or (H_{n}) constructed in [9, 18] to obtain the next iterate.
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The reason for its popularity is that it is easy to compute as a ratio of two areas in Lorenz curve diagrams.
For graph G we define strong component graph GSCC, the graph of SCC's of G. Nodes of GSCC are scc's of G, and edges are pairs of the form (SCC u), SCC v)) such that (u, v) is an edge of G. GSCC cannot have cycles of its own, and therefore it is easy to compute longest paths in that graphs (the algorithm is considered folklore).
The transformation used in this type of cryptography is called one-way; i.e., it is easy to compute a cipher when given the bank's key and the customer's PIN, but it is computationally infeasible to compute the plaintext PIN from the cipher even when the key is known.
Although it is easy to compute a modular square root (a number whose square leaves a designated remainder when divided by the product) if the prime factors are known, it is just as hard as factoring (in fact equivalent to factoring) the product if the primes are unknown.
It is easy to compute that, but.
Then it is easy to compute that.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com