Sentence examples for problem is the sum of from inspiring English sources

It turns out that the objective function of this unconstrained optimization problem is the sum of the ℓ 0-norm and the indicator function composing with a matrix associated with the 1-bit measurements.

The objective function of such optimization problems is the sum of three convex functions.

'Total problems' is the sum score of all ninety-nine problem items.

The Total Problems score is the sum of all problem items.

18 19 The internalising problems scale is the sum of items in the withdrawn and anxious/depressed subscales, and the externalising problems scale is the sum of items from the aggressive and delinquent behaviour subscales.

The total problems score is the sum of all the responses comprising of the different syndromes in YSR, whose reliability and validity has been established across diverse cultural settings [ 10, 12, 30].

The solution of the problem (26) (which is the sum of the two functions f3 and f4) is obtained by the following iterative algorithm: Set t j, 0 ∈ " j, γ > 0, λ ∈ ] 0, 2 [, and, for k = 0, 1, 2, … z j, k = prox γ f 4 t j, k t j, k + 1 = t j, k + λ ( prox γ f 3 ( 2 z j, k − t j, k ) − z j, k ). (37).

Non-linear regression applied to equation (2) leads to the following minimisation problem: where S is the sum of the error squares; and n is the total number of data points in the relation of diffusion coefficients (D) versus absolute temperature (T).

The Total Problems (T) score is the sum of the scores on the specific problem items plus the highest score on any additional problems entered by the respondent for the open-ended item 100, and is computed by summing the scores for the problems.

We consider the following separable convex minimization problem whose objective function is the sum of three functions without coupled variables: begin{aligned} &min theta_{1}(x_{1})+ theta_{2}(x_{2})+theta_{3}(x_{3}) &quad mbox{s.t.

The inverse problem is posed as a minimization problem of the performance function, which is the sum of square residuals between calculated and observed temperature, by means of a conjugate gradient method employing the adjoint variable method.