Sentence examples for minimizing a sum from inspiring English sources

We study the problem of minimizing a sum of Euclidean norms.

Recently, in 2014, Bačák [26] employed a split version of the PPA for minimizing a sum of convex functions in complete (operatorname{CAT}(0)) spaces.

To find the numerical values of the model parameters in order to calibrate the model, we have used an optimization technique based on a genetic evolutionary algorithm, minimizing a sum of chi square functions, [23], [27].

Our method involves minimizing a sum of products functional which penalizes points of the image far away from the pupil border defined by the candidate curve parameters.

The rate parameter estimation problem can naturally be formulated as minimizing a sum of squared errors (SSE), where each error is a difference between simulated concentration and observed concentration, and the summation is over time points and/or experimental treatments.

Antoniewiecz et al. approached the problem of defining confidence regions for flux estimates by minimizing a sum of squared residuals objective function as a function of the flux value [ 17].

The problem is nonlinear and the numerical solution which minimizes the gap between the measured and the computed data is achieved using the Matlab toolbox routine lsqnonlin which is designed to minimize a sum of squares starting from an initial guess and with no gradient required to be supplied by the user.

We have tested several generic cost minimization approaches (see [ 33- 35]) such as "genetic algorithms", as well as "gradient descent" to minimize a sum of squared modeling residuals.

We choose the PAM algorithm because, compared to the k-means approach, it: (a) accepts a dissimilarity matrix (missing values allowed), (b) is more robust as it minimizes a sum of dissimilarities instead of a sum of squared Euclidean distances, (c) provides a graphical display, the silhouette plot, which allows the user to select the optimal number of clusters [ 110].

By minimizing a weighted sum of the total annual cost and primary exergy input, the problem is solved by branch-and-cut.

Controller gains were optimized by minimizing a weighted sum of position errors, orientation errors, and muscle activations.