Sentence examples for an input configuration from inspiring English sources

An input configuration of (M") does not have letters from (A") and its subword written on the first k tapes is an input configuration of (M').

Then an input configuration corresponding to a word u over (A_1) is a configuration ({mathrm {inp}} u)) of the form begin{aligned} alpha _1uq_1^1omega _1hbox alpha _2q_2^1omega _2hbox cdots hbox alpha _Kq_K^1omega _K.

Indeed let c be an input configuration of length at most n such that ( MM _4) halts after exactly (Psi (n)) steps starting at c. Suppose that the word w(c) in (tilde{S}( MM _4)) corresponding to the configuration c can be separated from 0 in a homomorphic image E of (tilde{S}( MM _4)) with at most (Psi (n -1) elemen -1

If at the end of the scanning the history tape, the word written on the first k tapes is an input configuration of (M"), M executes on the first k tapes the history written on the history tape in the natural order, scanning the history tape from right to left.

Therefore c is equivalent to a configuration of the form (dalpha _{k+1}q_{k+1}omega _{k+1}) where (q_{k+1}in Q_{k+1}) which is an input configuration of M (and we need linear time in terms of |c| to find this configuration).

Therefore by the definition of M every computation (Theta ) ending at c and having length ({ge } |c|) must arrive at a configuration (c=c_1c_2) where (c_1) is an input configuration of (M') and (c") is the content of the history tape of c with the state letter moved next to (omega _{k+1}).

The goal is to get the network to automatically come up with the best next move given any input configuration.

It functions with level repulsion and destructive interferences effects using 4 molecule electronic states in a quantum Hamiltonian computing approach (QHC) with the abrupt change of the molecular orbital weight of those 4 calculating states as a function of the logical input configuration.

To assess the stability of the LMH predictions, we calculated the percentage of instances in which there is a prediction from one tissue input configuration that does not agree with another tissue input configuration in terms of class membership, for all exons and tissues.

The proposed algorithm will be applied to the input configuration file in a batch (offline) manner, and its time complexity is tolerable considering the overhead reduction obtained by having the optimal sequence of frames in run-time configuration decompression.

Combinatorial optimization is used first to generate an optimized test suite by sampling the input configuration.