Sentence examples for methods that update from inspiring English sources

Instead of imposing local stress constraints on the surface of the component, as it is often done in shape optimization methods that update the design by deforming the mesh, we employ the stress p-norm over the body to approximate the maximum stress a technique we borrow from recent developments in topology optimization.

It brings the reference basis method closer to a broad class of updating methods that use parametric updating.

Therefore, it is important to develop methods that can easily update old data into new data with minimal error.

Therefore, there is a pressing need to develop new prediction methods that use an updated set of 14-3-3-binding 14-3-3-binding 14-3-3-binding 14-3-3-bindingtargets and to prioritize the downstreamotifsysis ofor2000 pothetidentifications identified in high-throfghput experimenew. 14-3-3 14-3-3 14-3-3

The quantitative findings should be considered together with a qualitative analysis of updating methods that can be done only if updating mechanisms are described in greater detail by publishers.

Iterative methods of model updating that update a set of chosen parameters of the model, so as to reduce the difference between the natural frequencies and the mode shapes of the FE model and the corresponding quantities obtained through a modal test on the structure, are probably the most widely used methods.

The analysis of the data is based on the BUS (Bayesian Updating with Structural reliability methods) that sets an analogy between Bayesian updating and a reliability problem.

To consider the use of statistical methods that aim to prioritize the updating of a collection of systematic reviews based on preliminary literature searches.

Therefore, precursor-based methods that adopt the Bayesian theorem to update prior judgments on event probabilities using empirical data have been proposed.

This composite score was then updated using Bayesian methods that consider the number of votes submitted.

The approach is similar to weather-forecasting methods that use real-time observational data to continually update and correct predictions.