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The stability of the equilibrium and linear normal modes (LNMs) are analyzed using a linearized matrix of the system equation.
Under assumptions (H1) and (H2), it is clear that the linearized matrix of (3.3) (3.3).
Let λ 1 and λ 2 be two roots of the linearized matrix of system (27) at the equilibrium P ∗ i.
48, then λ 1 = − 0.5981 and λ 2 = − 0.8314 are the real eigenvalues of the linearized matrix J of model (3) at the positive equilibrium E ( 0.1085, 0.1085 ).
The linearized matrix that the Kalman filter algorithm needed was concluded; thus, the feedforward automatic gauge control architecture was dynamically optimized.
If we take θ = 0.6, then λ 1 = λ ¯ 2 = 0.7252 + 0.6551 i are the complex eigenvalues of the linearized matrix J of model (3) at the positive equilibrium E ( 0.1085, 0.1085 ).
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First, we adapt an existing linearized source receptor matrix.
In this work, pseudopressure and pseudotime functions are used to linearize the matrix governing flow equation so that the constant fracture pressure solution is obtained in terms of pseudotime function.
In this Account, we primarily focus on semiempirical models where the divide and conquer (D&C) approach linearizes the matrix diagonalization step with respect to the system size.
This is achieved by means of parametrization for the output-feedback linear controllers that linearizes the closed-loop H2 and H∞ norm conditions and provides equivalent linear matrix inequalities (LMIs).
Mantel tests between the geographical distances and the Slatkin linearized Фst (Rst) matrices were conducted in Arlequin 3.1 with 10,000 permutations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com