Sentence examples for matrix and linear from inspiring English sources
The physics background, matrix and linear envelope-code computations, and particle-in-cell simulations of beam transport over a long propagation distance in UMER are presented.
A novel polymeric electrolyte system has been developed using oligo ethylene oxide -grafted poxide -graftede matrix and linear polymethacrylatedissolves matrixium sands.
First we present a methodology for using a combination of computer assistance and human intervention to discover highly algebraic theorems in operator, matrix, and linear systems engineering theory.
A description of strategies, a high-level description of the algorithms, a description of the applications to operator, matrix, and linear system engineering theory, and a description of how one would use a strategy to "discover" four different theorems are presented in the first part of the paper.
Similarly, if the Eigen matrix and linear algebra library is not found, any classes that require fast matrix manipulation (such as OBAlign, which performs least squares alignment) will not be compiled.
Essentially, the steps of the term-order-free reverse engineering comprise standard matrix and linear algebra calculations.
During curing and subsequent mechanical loading, the periodic mesostructure defined by a visco-elastic polymeric matrix and linear-thermo-elastic carbon fibres is taken into account as a representative unit cell (meso-RVE) subjected to thermo-mechanical loading on the mesoscale.
Based on free-weighting matrix approach and linear matrix inequality theory, a new set of sufficient conditions that guaranteeing the robust stochastic stability is presented by choosing an appropriate Lyapunov Krasovskii functional candidate.
In [12], under some suitable assumptions, utilizing a matrix decomposition and linear matrix inequality (LMI) method, the authors have proposed some the new global asymptotic stability sufficient conditions for RDNNs with continuously distributed delays.
Additional topics are quadratic forms and inner product spaces, canonical forms for various classes of matrices and linear transformations.
Discusses matrices and linear transformations, linear independence and dimension, bases and coordinates, determinants, orthogonal projection, least squares, eigenvalues and their applications to quadratic forms and dynamical systems.
