Your English writing platform
Discover LudwigSuggestions(5)
Exact(8)
Explicitly, we define the vector of received packets at time t at the decoder: Z ̲ ( t ) = Y e ( t ) : e ∈ In ( v 0 ) = B · Y ̲ ( t ), (13).
Then, we define the vector of coefficients (mathbf {w}(k) = text {vec}left (mathbf {W} k)right)) to be the vectorization of W k)—i.e. (mathbf {w}(k) in mathbb {C}^{N(L+1)} ) is formed by stacking the columns of the matrix W(k) into a single column vector.
First, define the vector of parameters to be estimated z ≜ [ x R, x I, a R, a I, b R, b I, ε ] T and mean observation vector q ≜ [ ( P U x ) R T + a R l T + b R c T, ( P U x ) I T + a I l T + b I c T ] T, where the subscript R and I represent the real and imaginary parts of a complex number, respectively.
We define the vector of the path following error variables for the position of the CM of the robot as p ~ = p x ( t ) − p xd , p y ( t ) − p yd T ∈ ℝ 2. Subsequently, the third part of the control objectives is defined as practical convergence (see, e.g. [4]) of the position of the CM of the robot to the desired path such that lim t → ∞ sup ∥ p ~ ( t ) ∥ ≤ ε (40).
This seems to define the vector of evolution quite clearly.
We define the vector of the node-level statistics as d.
Similar(52)
# Define the vectors of membrane conductances and capacitances.
We, respectively, define the vectors of g and ĝ as ϕ* = [ϕ(l)', h']' and ϕ ^ = [ ϕ ( l ) ′, 0 ′ ] ′ in the same way as ϕ i and ϕ ^ i.
We also define the vectors of edge contents, Y ̲ ( t ), and quantization noises, N ̲ ( t ), according to Y ̲ ( t ) = Y e ( t ) : e ∈ E, (10) N ̲ ( t ) = N e ( t ) : e ∈ E. (11).
The form of the robust optimization model is as follows: {text{Min}}; c^{T} x + d^{T} y (1) Ax = b (2) Bx + Cy = e (3) x,y ge 0 (4)where x defines the vector of decision variables that should be determined under the uncertainty of model parameters.
Although we applied CSMinfinder specifically to K27HMD, it can be used for the detection of regions with other types of epigenetic combinations by defining the vector of focal epigenetic states appropriately.
Write better and faster with AI suggestions while staying true to your unique style.
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