Sentence examples for be presented using linear from inspiring English sources

Implementation examples will be presented using Linear Algebra Problems and problems from Computational Finance.

First, a unified controller design framework for the asynchronous control of switched positive systems is presented using linear programming and matrix transformation, where the "unified" property means that most of the asynchronous control problems of positive switched systems can be solved by employing the presented controller framework.

An evaluation of two alignment approaches is presented: using a linear affine transformation and a set of piecewise linear affine transformations.

The estimation of the state-matching error is presented using the linear matrix inequality (LMI) techniques.

Fusion images were presented using a linear rainbow color scale with seven colors ranging from purple to red.

Delay- and fault-range-dependent estimate for the domain of attraction of the origin is presented using the linear matrix inequalities (LMIs) techniques.

Both of them are presented using the linear matrix inequality approaches, with the help of the LMI toolbox in MATLAB, and three numerical examples have been given to demonstrate the effectiveness of the proposed method.

In [11], different feature combinations were presented using MFCC and linear prediction cepstrum coefficients (LPCC) to improve the recognition rate.

First, a deterministic multi-objective mixed integer linear programming is developed; then, the robust counterpart of the proposed mixed integer linear programming is presented using the recent extension in robust optimization theory.

As a second step, we analysed the total native biomass from all pots where knotweed was present using a linear model that tested the effects of knotweed taxa, clones nested within taxa, AC and their interactions, with the same contrasts as above.

Hence, many modified projected Landweber algorithms for the split-equality problem will be presented by using the related algorithms for the linear inverse problem.