The adsorption performance was critically analyzed using response surface methodology (RS M, artificial neural network (ANN) and linear algebra based models and compared.
Since =, we obtain, for i = 1, 2. The matrix R can be thus written as Denoting by and the matrices which represent and in the bases and, respectively, we have, by linear algebra Since [ cf. equation (2)], we obtain for all and.
We present in this paper a new method to construct broadcast encryption schemes (BES), which uses Linear Algebra techniques and is based on the method to design key predistribution schemes already presented by the authors.
For numerical solution methods from linear algebra, auto-tuning techniques based on a global search engine as they are used for ATLAS or FFTW can be used successfully.
Sometimes you cannot solve exponential equations by just moving numbers like in traditional linear algebra until the bases are equal or the target variable is isolated.
Given a set of time equidistantly expression data, the weights w ji can be solved by using linear algebra when the number of data points is more than the number of variables.
The proof given by Kelisky and Rivlin is based on linear algebra tools, it involves the Stirling numbers of the second kind, and eigenvalues and eigenvectors of some matrices.
The process is based on linear algebra, and involves computing Jordan normal forms, joint spectral radii, and solving dilation equations.
An efficient optimization procedure based on linear algebra is developed to determine the optimum location and direction of each backup joint.
