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The population projection of the Indian subcontinent, which is closely related to the future development of this region and even the whole world, has catched great attention among sociologists as well as scientists. However, most of the former researches are just based on fertility, mortality or other individual quantifiable factors by using some traditional statistical models and thus may lack all-sidedness...
Finite state machines (FSMs) are basic computation models that play essential roles in many applications. Enabling efficient parallel FSM execution is critical to the performance of these applications. However, they are very challenging to parallelize due to their inherent data dependencies that occur at each step of computations.
The recovery and prediction of Northern American population data, which are closely related to the future development of Northern America and even the whole world, have become significant subjects and captured great attention among sociologists as well as scientists. However, most of the relevant researches are just based on fertility, mortality or other individual quantifiable factors by traditional...
This paper presents and investigates two new numerical algorithms (i.e., E47 algorithm and 94LVI algorithm) for solving the quadratic programming (QP) problem subject to inequality and bound constraints. Such a constrained QP problem is firstly converted equivalently into a linear variational inequality (LVI), and then converted equivalently into a piecewise-linear projection equation (PLPE). The...
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