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For an arrow in a decorated tree, let its value be the minimal value of the leaves of the subtree grafted to its end.
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This is accomplished by dividing each numeric attribute A into m discrete intervals where D={[d0,d1],…d1, dm−1,(dm−1,d m ]} where d0 is the minimal value, d m is the maximal value and d i
It has been shown in [15, 24] that the above-constrained optimization problem can be considered as equivalent to the following problem (4), where is the minimal value among all, that is,.
Here, q i is the attribute value of context c i, qmax is the maximal value of the context c i ; correspondingly, qmin is the minimal value of the context c i. ∑ i = 1 M β i = 1 (3) C i = ( q i - q min ) / ( q max - q min ) q max - q min ≠ 0 1 q max - q min = 0 (4).
One would assume that the crystalline area per molecule is the minimal value that can be obtained within the monolayer.
Then z∗= E R R is the minimal value of E R R. These optimal values are functions γ∗(U), λ∗(U), z∗(U) of the partial vector of parameters U in.
The relationship was fitted with a Boltzmann function, (1) Po V = Min + 1 − Min / 1 + exp V − V 0.5 / S where Min is the minimal value of Po, V0.5 is the half-maximal activation potential, and S is the slope factor.
The range of values in row i is determined by formula: Δ i = max y i ) − min y i ), where max y i ) is the maximum value of data in row i and min y i ) is the minimal value of data in row i.
A useful lower bound is the minimal values that ensures that the HMM parameters remain valid.
Primitive In Out Cost (cycles) Max Min 95 Time ( s) (48 MHz) Max Minin 1.977 : is the data length (byte),, ( = the buffer length 2); In the IN primitive, the maximal value is the execution time of reading bytes from the thread tuple when a message is ready; the minimal value is the execution time of calling thread_scheduler when no data is available.
The sequence similarity scores of protein pairs were calculated by using the Smith-Waterman algorithm in the EMBOSS water program (parameters: gap open penalty = 10.0, gap extension penalty = 0.5), and they were normalized via a cosine operation such that the maximal value was 1 and the minimal value was 0 [ 28, 29].
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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