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A cost function that minimizes the square error between the desired variable settings and the current sensed values is developed.
The final control law only minimizes the square of prediction errors over a small future prediction horizon and at steady state.
The solution to a transfer which minimizes the square of the thrust magnitude is used as a preliminary guess for the minimum fuel problem, thus allowing for faster convergence to a wider range of problems.
For example, in simple linear regression (which we will cover in ENV710), we fit a line through a set of (x,y) data points that minimizes the square of the y-distances from each point to the line.
Because zonal SH terms are most affected by these gaps, a norm which minimizes the square of the magnetic potential of the lithospheric field for degrees n ≥ 60 at both the north and south geographic poles was developed.
Next, we perform a space time grid search to infer the best point source position x 0 and origin time correction (Delta tau) that minimizes the square residual (Eq. 2).
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We introduce a new minimization that simultaneously minimizes the squared flows and the squared differences between flows.
Wu et al. in [10] suggested a new technique (FxlogLMS) based on fair M-estimator that minimizes the squared logarithmic transformations of error signal to achieve robustness.
To find a best match, the observed foundress numbers and the simulated foundress numbers are binned in ranges: 1 3, 4 6, >6, with the best match being that which minimizes the squared deviations between observed and simulated distributions.
The estimates were the values that minimized the square root of the sum of standardized squared errors (RSE) and/or the square root of the sum of squared standardized errors (RMSE).
The controller is defined by minimizing the square of the response at a point denoted as error sensor location.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com