Sentence examples for ls objective from inspiring English sources

This advantage is not guaranteed in the regularly used least square (LS) objective function which might be non-convex in some cases as will be clarified in Section 4. The environment considered in this article is the outdoor suburban NLOS environment.

The reason for choosing such an objective function rather than the regular LS objective function given by F LS ( x ms, y ms ) = ∑ i = 1 3 α i ( l i - R i ) 2 (6). is the fact that using the objective function in (5) is assured to be convex.

This proposed objective function of the HNGP-CA algorithm has the guaranteed convexity advantage over the regularly used LS objective function.

αl,L is equal to the maximum among the 2 l objective values.

The biofilm was visualized at 42 h and at 48 h (after 6 h of the IPTG addition) with a TCS SP2 scanning confocal laser microscope (Leica Microsystems, Heidelberg, Germany) with a 40 X N PLAN L dry objective with a correction collar and a numerical aperture of 0.55.

Equations (16) and (17) are "fuzzy equal (e q u a l ˜ ) " objective functions that represent the fuzzy goals.

After surgical preparation, the synovial microcirculation was visualized under incident fluorescent light using a Leica DM2500 microscope with a HCX APO L 20X objective and a HC Plan 10X eyepiece (Leica Microsystems Inc., Richmond Hill ON, Canada; final magnification 200X).

Since the length of the motif is l, the final objective function (i.e. the information content score) would contain 3 l independent variables.

The term µ zl (x) indicates the desirability of solution X in terms of the objective l.

The latter is obtained as part of the solution satisfying the terminal constraints in Eq. 2c, which strictly impose the values for a subset of the model states (see Table 1), and by the quadratic term Φ(x k (L)) of the objective function in Eq. 1, which loosely imposes some desired conditions on final state.

Note that the unconstrained optimization step causes the constrained problem objective L to change between iterations, and therefore the optimality of its current solution.