The linear time algorithm called Dual-Threshold Algorithm Class DA3(ε), where ε is an optional parameter, is proposed.

In this paper, we mainly consider linear time algorithms for the maximum weighted forest problem and the multicut problem.

In this paper, by using the methods of temporal linearity and spatial linearity, thegeomagnetic data before and after July 28, 1976 Tangshan earthquake (Ms=7.

With this,she resisted the linear time concept generally held by modern Chinese intellectuals,by deliberately obscuring the purpose,direction and era significance of time.

The paper suggests the forecasting model about objects that have nonlinear time sequence by using neural network model, and verifies in through an example.

The complexity measure is an important dynamic index to describe nonlinear time sequence.

Correlation dimension is an important parameter to measure a nonlinear time sequence quantitatively,and it is widely used to analyze harmonic component of power system and biomedical signal.

Study and application of PSO-RBFNN model to nonlinear time series forecasting for geotechnical engineering;

Determining the input time delay τ of a neural network for nonlinear time series prediction;

Inter-well connectivityanalysis based on nonlinear time series