Sentence examples for constraining simultaneously from inspiring English sources

The magnitude of rotation about this axis was estimated by constraining simultaneously the radius of all tags to lie within 12.0 nm of the rotation axis (for details, see Figure S4).

This approach can be extended to the more general problem when PAPR, EVM, and FCPO are constrained simultaneously.

However, it is important to know what are upper abounds on the achievable performance, e.g., in the case when all the three system parameters are constrained simultaneously.

The proposed algorithm can maximize average throughput and satisfy all constrains simultaneously to achieve better performance for SUs and the QoS of PU.

Moreover, in the case when all the three system parameters are constrained simultaneously, the proposed approach outperforms the convex approaches in terms of infeasibility rate, PAPR, and bit error rate (BER) performances.

Specifically, we envisage that such phantoms will play a significant role in the testing of software paradigms which enable EEG source localisation to be constrained by simultaneously recorded optical tomography images.

Data presented in Figure  11 were obtained as follows: Rosetta was adapted (OE, XA, BK) to constrain sequences simultaneously for two backbones provided as scaffolds with the additional constraint that substitutions at each position have complementary codons, assuring that the resulting gene was fully sense/antisense.

Since the IM model assumes that divergence and expansion occur simultaneously, constraining the time of the expansion also requires identical constraint of the divergence date.

Simultaneously constraining rG as 1.0 and VA in the two experience categories as equal did not lead to a significantly different model likelihood compared to the unconstrained model (χ2 = 0.70, df = 1, p = 0.403).

The optimization problem (Eq. 1.13) satisfies the known gene spatial patterns while simultaneously constraining the model with the gene-to-gene interaction topology from the steady-state equations in the ODE model (Eq. 1.1), so we call (Eq. 1.13) ODE spatial prediction model, which is a quadratic programming and can be solved by the MATLAB function 'lsqlin'.

Later, in the 1990s, he collaborated with mathematicians Nick Monk and Philip Maini to show just what sorts of patterns Notch and Delta signaling could and could not produce [ 4], simultaneously constraining a great number of empirical studies and establishing the Notch/Delta system as a hotbed of quantitative biological research.