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Two months later, Born and Jordan finished their paper, "On Quantum Mechanics", which is the first rigorous formulation of matrix mechanics.
In 1954, Heisenberg wrote an article honouring Planck for his insight in 1900, in which he credited Born and Jordan for the final mathematical formulation of matrix mechanics and Heisenberg went on to stress how great their contributions were to quantum mechanics, which were not "adequately acknowledged in the public eye".
If used in the formulation of matrix tablets, they can be utilized as controlled release systems.
In conjunction with the coating, the effect of filler type within the core formulation of matrix tablets was also evaluated.
The present study aimed at the formulation of matrix tablets for colon-specific drug delivery (CSDD) system of indomethacin (IDM) by applying liquisolid (LS) technique.
This study aimed at designing and formulation of matrix tablets for colon-specific drug delivery (CSDD) system of IDM by applying liquisolid technique.
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First, a general adjoint formulation is constructed for the entire optimization problem, including parameterization, mesh deformation, flow solution and computation of the objective function, which is followed by detailed formulations of matrix-vector products arising in the adjoint model.
From a formulation of the matrix inversion in [19], we can obtain the inverse matrix of R m (k) as R m k − 1 = R m − 1 k − 1 − R m − 1 k − 1 h m k H h m k R m − 1 k − 1 1 + h m k R m − 1 k − 1 h m k H. (8).
In synthesis, the conditions of finite-time stabilization turn out to be in the formulation of nonconvex matrix inequalities for discrete affine fuzzy system (DAFS) and bilinear matrix inequalities (BMIs) for continuous affine fuzzy system (CAFS).
Based on a piecewise continuous Lyapunov function combined with S-procedure and some matrix decoupling techniques, a novel control law is derived in the formulation of linear matrix inequalities (LMIs) in finite-frequency domain.
The stability analysis of the overall closed-loop fuzzy system leads to formulation of linear matrix inequalities (LMIs).
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