Sentence examples for nest problem from inspiring English sources

A profile in American Vogue last month elicited little new information except that she wears size-0 Lucky jeans, tried to cure her 'emptying nest' problem by buying two Yorkshire terriers; and laments that she'll be limited to American fashion if she becomes the First Lady.

Customers like Clayton and Richard (seen above) have been flocking to social media to report Nest problems ranging from annoyance to disaster.

Theodore Sider proposes a different solution to the nesting problem (Sider 2002).

To treat this "nesting problem", the improved GSI-ELM (IGSI-ELM) is generated with an elimination mechanism.

Traditionally, the nesting problem has been an issue to improve the efficiency of raw materials; further, research into mainly 2D optimization has progressed.

Other solutions to the nesting problem include the claim that despite strong appearance to the contrary, there are no modal statements about objects which do not actually exist; see Adams 1981, Fitch 1996.

For each specific design vector, an interval analysis method is applied to calculate the interval of the objective function caused by uncertainty, and whereby the optimization nesting problem can be solved.

Based on the definition of the mixed reliability index for structural safety evaluation with probabilistic and non-probabilistic uncertainties, the reliability-based optimization incorporating such mixed reliability constraints are mathematically formulated as a nested problem.

One of the reasons that make SFS and SFFS perform similarly when is small (i.e., 4) is that the nesting problem associated with SFS will not affect the system in the same manner as in the situation when several features are used.

Problem formulations for flexibility include nested optimization problems and these can often be refined by substituting the optimality conditions for these nested problems.

The key contribution is to use an incremental nonlinear homogenization technique in tandem with a model reduction method, in order to alleviate the complexity of multiscale procedures, which usually involve a large number of nonlinear nested problems to be solved.