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However, only a single lower bound has been applied in existing methods, which does not fit the multi-stage rough-to-finish machining.
In 2002, Fletcher and Leyffer [3] proposed a class of filter methods, which does not require any penalty parameter and has promising numerical results.
Moreover, TSC offsetting is specific to hardware-assisted virtualization, thus it cannot be used with other virtualization methods, which does not meet our flexibility requirement.
Despite its merits, it is limited to new Intel processor and works only for hardware-assisted virtualization, thus it cannot be used with other virtualization methods, which does not meet our flexibility requirement.
However, the MABCA, different from the conventional fast search methods, which does not rely on the unimodal error surface assumption, can jump out of local optimum and find the global optimum.
This represents the major drawback of all of these methods, which does not affect the performance of the GTI.
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There are some methods which do not use a location map.
In contrast, autonomous navigation methods, which do not depend on artificial landmarks, have been recently proposed.
Methods which do not interfere with the fixation in any way are therefore preferable [1].
This technique produced more contiguous zones than other cluster methods which do not use spatiality.
The laser projection method avoids the "gapped pixels" in other projection methods, which do indeed have blank areas at perfect focus.
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