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D-optimal design is a rigorous design based on quadratic regression.
And then welding experiments based on quadratic regression orthogonal design were conducted to figure out the relationship between Rw and primary welding parameters.
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We developed an efficient algorithm based on quadratic programming for estimating the regression coefficients under GFlasso.
It is a quadratic model-based gradient-free trust-region algorithm based on quadratic interpolation.
Because we had no prior expectation for the observed correlations, and quadratic regressions generally yielded slightly higher R2 values and equal or greater significance levels, analyses of residuals were performed based on quadratic models.
Two synthesis methods based on quadratic and non-quadratic Lyapunov functions are considered.
In [22], authors propose a feature selection method based on quadratic unconstrained binary optimization (QUBO) algorithm.
For many different sampling procedures models based on quadratic programming are the most accurate.
An analysis of bias is based on quadratic Taylor series approximations and the properties of expectations.
Some estimation algorithms, based on regression and auto-regression, for parabolic distributed parameters systems, are developed.
The molecular composition of the P. putida KT2440 cell remained fairly stable over the whole measured range of D. The biomass fractions of RNA, lipids, water-soluble proteins, and carbohydrates showed no significant dependency on the μ, based on linear regression, whereas DNA exhibited an increase (quadratic regression, p-value: 9.0E-6).
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