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Formulation of the matrix equations for the stiffness method is done routinely and the solution procedure is systematic.
To reduce primary dependent variables (PDVs), Gauss-Jordan decomposition is applied to the governing matrix equations for transport, resulting in mobile components and mobile kinetic variables as PDVs.
The latter results from solving the matrix equations for q 3 in terms of the heating rate difference (q 1 − q 2).
The proposed method is based on the statistical analysis of an augmented measurement prediction error leading to a system of linear matrix equations for the elements of the noise covariance matrices.
Sub-system matrix equations for the two sub-plates are extracted by applying the simply supported boundary condition to the edges of each sub-plate (excepting the common interface of the two sub-plates).
Starting from the dynamic stiffness matrix of a single multi-coupled periodic element, it derives matrix equations for the magnitudes of the characteristic free waves excited in the whole structure by prescribed harmonic forces and/or displacements acting at a single periodic junction.
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Based on the ellipse eccentricity, the ellipse matrix equation for non-equidistant systems has been constructed.
By modifying the polynomial matrix equation for the filter in the regular case, a new simple polynomial matrix equation for a reduced order H∞ filter in the case of partially perfect measurements is obtained.
A matrix equation for solving the system resonance frequencies and loss factors is obtained by using the Rayleigh-Ritz method.
Consequently, substituting (3.5) in equation (3.4), yields the fundamental matrix equation for problem (3.1), ∑ k = 1 n ( Q k F D k ) A = G, n ≤ N, (3.6).
Furthermore, when (1.2) is written as a matrix equation (for details, see Section 5), its associated abstract Cauchy problem has the following form: (1.3).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com