Sentence examples for a constrained method of from inspiring English sources
This work presents a constrained method of linear filtering for microphone arrays which minimizes the total signal present on the array channels while preserving the signal from a targeted spatial location.
To validate the STRUCTURE clustering, we compared its output with that obtained using a less constrained method of clustering.
It's a constrained method that gives little room for scaling without adding more machines that require manual intervention.
In this work, we proposed a constrained optimization method for getting constrained optimal high pressure equation of CO2 transcritical cycle.
Our aim is to examine the use of the constrained method when group means are ordered and the exposures are mis-measured and not available completely in an epidemiological cohort.
In this case, ∂ N ∂ t = 0 ; Initial conditions: N = 0, 5, 10, 25, 50 or 100 nM, RNA target = 0. Unknown parameters were then retrieved through minimization of the residual sum of squared errors for the fitted model using the Nelder-Mead simplex method (using a constrained version of the MATLAB function fminsearch) using three different initial guesses spanning the parameter space.
It consists of a combination of a constrained dynamic optimization method and an extended Kalman filter for unknown parameters identification and non-measured state estimation within a closed-loop control.
In the present paper we propose a method of constrained curve drawing using certain C1-quadratic trigonometric splines having shape parameters, which have been recently introduced in [Han X. Quadratic trigonometric polynomial curves with a shape parameter. Computer Aided Geometric Design 2002 19 503 12].
The Temporal Correlation Method has been shown to be a constrained version of the Eigensystem Realization Algorithm.
A hybrid method of chance-constrained programming (CCP) combined with variance expectation (VE) is proposed to find the optimal solution of the original problem.
The first algorithm is a two-step positioning algorithm that combines semidefinite programming (SDP) with a Taylor series method to achieve global convergence as well as superior estimation accuracy, and the second algorithm is a constrained least-squares method that has the advantage of low complexity and fast convergence while maintaining good performance.
