Sentence examples for maps and maximum from inspiring English sources

The effects of auxiliary bearings stiffness and rotational speed on the dynamic behavior of the system are investigated by the bifurcation diagrams, dynamic trajectories, power spectra analysis, Poincare´ maps and maximum Lyapunov exponent.

Multi-scroll chaotic attractors are generated by extending the number of saddle equilibrium points with index 2. Poincaré map and maximum Lyapunov exponents are applied to verifying the chaotic behaviors of the generated multi-scroll chaotic attractors.

Various forms of speaker adaptation techniques like maximum a posteriori (MAP) and maximum likelihood linear regression (MLLR) [13], speaker adaptive training (SAT) [20, 21], constrained MLLR speaker normalization (CMLSN) [22], and their combinations [13] have also been tried so as to reduce the mismatch of children's speech with adults' speech trained models.

Here, we test one fundamental difference between stochastic mapping and maximum parsimony inference methodologies.

For blood pressure goals, nine studies (69%) included MAP goals, with the minimum MAP and maximum target MAP ranging from 60 to 100 mmHg (Table 2).

Thus, in all cases, the performance difference between stochastic mapping and maximum parsimony became higher when rate variability is allowed.

Our main interest is to evaluate the performance of stochastic mapping and maximum parsimony in accurately detecting lineage-specific gain and loss events along a phylogenetic tree.

Thus, the differences between stochastic mapping and maximum parsimony for all other scenarios (with 10,000 sites) are also highly statistically significant (data not shown).

The COGParsimony is the simulation scenario in which the difference in performance between stochastic mapping and maximum parsimony is the smallest.

In Table 3, we provide the performance of stochastic mapping and maximum parsimony for each of these subsets as well as for all branches (called "Reference" in Table 3).

The use of regression interval mapping and maximum likelihood methods for QTL detection provided consistent results in many cases, although the high variation observed for traits mean among families made it difficult to evaluate QTL effects.