Sentence examples for excessive convergence from inspiring English sources

The excessive "convergence" of bond yields over the decade reversed as investors have factored in the risk of sovereign default.

This involves adjusting TBM operational parameters such as machine thrust and penetration to avoid potential problems caused by face collapse or excessive convergence and subsequent machine seizure that can cause long delays.

On this basis, the performance functions of surrounding rock slabbing, cavern tightness, excessive volume convergence and surface subsidence were proposed.

They recognized tree failure modes, namely, inadequate support capacity, excessive tunnel convergence, and insufficient rock bolt length and evaluated the failure probability of each failure mode using a deterministic model of ground-support interaction.

Based upon current models of accommodation and vergence, we hypothesize that the reduced vergence adaptation in CI leads to excessive amounts of convergence accommodation (CA).

Although the Bayesian MCMC approach is good at handling complex models, there is a risk of over-parameterization, which can result in problems with convergence and excessive variance in parameter estimates [ 81].

These factors give rise to excessive eigenvalue spread and slow convergence rate of a gradient descent algorithm.

First, learning such solutions may be computationally efficient, leading to quick convergence and avoiding excessive numbers of random restarts.

Moore Penrose generalized the inverse based on singular value decomposition and alternating iterative strategy to improve the performance of trilinear decomposition; the loss function reaches a minimum because of developed insensitivity to excessive component numbers, thus resulting in improved convergence.

While an excessive contraction or deficient contraction corresponding to the cowl convergence angle of 0° and 16° suffer a harder starting which resulted from the pressure rise and severe separation on the ramp wall at the inlet entrance.

This improper adjustment of exploration and exploitation search processes can introduce an inappropriate level of diversity into the swarm, thereby either decelerating the convergence rate of the algorithm (caused by the excessive diversity) or inducing premature convergence (as a result of insufficient diversity).