نتایج جستجو برای: implementation considerations
تعداد نتایج: 433970 فیلتر نتایج به سال:
micropolar plasticity provides the capability to carry out post-failure simulations of geo-structures due to microstructural considerations and embedded length scale in its formulation. an essential part of the numerical implementation of a micropolar plasticity model is the integration of the rate constitutive equations. efficiency and robustness of the implementation hinge on the type of inte...
Heterologous vaccine regimens deliver antigens through different components or vector types at sequential time points. Clinical development shows promising results and several candidates may be progressing to licensure in the coming years. This study aimed exploring future acceptance uptake of such (also called heterologous prime-boost) identify implementation-associated benefits challenges. Su...
This report discusses some design and implementation issues in the HPJava language. Through example codes, we will illustrate how various language features have been designed to facilitate e cient implementation. This may help programming of real applications in the new style.
with the adoption of the new islamic penal code, the electronic monitoring was entered iranian criminal justice system, while in the system of other countries, have the older history. comprising more than five decades of history in america and adopted in thirty different countries act. in the new islamic penal code, implementation of electronic surveillance, as many of these institutions are su...
We show that delay impulsive systems are a natural framework to model wired and wireless NCSs with variable sampling intervals and delays as well as packet dropouts. Then, we employ discontinuous Lyapunov functionals to characterize admissible sampling intervals and delays such that exponential stability of NCS is guaranteed. These results allow us to determine requirements needed to establish ...
Nowadays, there are many optimization problems where exact methods do not exist or where deterministic methods are computationally too complex to implement. Simulated annealing may be the answer for these cases. It is not greedy in the sense that it is not fool with false minima, and is pretty easy to implement. Furthermore, because it does not require a mathematical model, it can be used to so...
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