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This technique, which may be named the augmented block pulse function method, reduces a system of high-order boundary value problems of ordinary differential equations to a system of algebraic equations.
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This method reduces an identification problem dimension, defines potentially hazardous sections and evaluates technical condition of metal shells with help of aggregated models, which accumulate extensive information about geometric characteristics of damages registered with nondestructive testing.
We note that the NLS method reduces to a linear least-squares method when the fundamental frequency is given, but the joint estimator is still nonlinear.
If the constant (mu=0), then the TMPRP1 method and TMPRP2 method reduce to the methods proposed by Cheng [9] and Zhang et al. [10], respectively, and the TMPRP3 method reduces to a method similar to that proposed by Yu et al. [20].
The propagator method reduces to a finite difference scheme at small Δx, Δt and gives correct results across a wide range of parameters.
When predicting new drugs under setting S2, the KronRLS method reduces to a standard QSAR model, in which no target similarities are needed.
This method reduces the solution of a problem to the solution of a system of algebraic equations.
The method reduces the study of a hypoelliptic operator to that of a non-autonomous elliptic one.
This method reduces the problem to a system of algebraic equations, which is easier to solve.
Applying our method to Kolodny's library, our method reduces its size by a factor of 8 while achieving the same accuracy.
Here, the method reduces the Robin problem to a RH problem, which leads to a system of integral equations.
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