Sentence examples for norm problem from inspiring English sources

Namely, the source distribution consisting of pre-defined source types is solved as an L1 norm problem using iteratively re-weighted least squares (IRLS).

Fixed point theory plays a major role in many applications including variational and linear inequalities, optimization and applications in the field of approximation theory and minimum norm problem.

end{aligned} (25) The least norm problem begin{aligned} |X_{H}|=min_{Xin H_{E}}|X| end{aligned} has a unique solution (X_{H}in H_{E}) and (X_{H}) can be expressed as (19).

Then the sequence { x n } converges strongly to a point x ˜ in F ( T ) ∩ ( A + B ) − 1 0, which is the unique solution of the minimum norm problem (3.26).

Then the net { x t } defined by the implicit method (3.3) converges strongly, as t → 0, to x ˜, which solves the following minimum norm problem: find x ˜ ∈ F ( T ) ∩ ( A + B ) − 1 0 such that ∥ x ˜ ∥ = min x ∈ F ( T ) ∩ ( A + B ) − 1 0 ∥ x ∥. (3.26).

It has a puerile male norm problem, apparently well-informed by lad-mags.

An alternative online mixed-norm problem is also proposed that can further reduce estimation errors at the cost of increased computational burden.

Based on this fault estimation error analysis, we formulate a mixed-norm problem for the offline robust design that regards online I/O data as unknown.

Introducing an impulse function enables us to transform the original DQO output feedback control (DQO-OFC) problem into an optimal L2-norm problem, which can be solved in the standard frame of an LMI approach.

Under this context, the JSR model finally becomes a mixed-norm problem.

When x i is a non-zero value, then 1 − e − x i 2 / 2 σ 2 approximates to 1, so this function can approximate to ℓ0-norm problem smoothly.