Sentence examples for matrix for which from inspiring English sources

However, this approach does not always provide a positive semi-definite matrix for which a closed form solution exists.

We provide a proof that converts the exogenous asymmetric matrix to a symmetric matrix for which a closed form solution does exist.

This leads to a modified mass matrix called a pseudo-static matrix, for which its inverse is known at each time step without any numerical effort.

This paper explores the fracture properties of a novel and sustainable glass-fiber reinforced composite, the matrix for which is formed through the aqueous, anoxic, room-temperature carbonation of (waste) metallic iron powder along with other minor ingredients.

The fibers themselves do not swell, setting up a competition between the matrix, for which swelling tends to open the tube, and the fibers, for which swelling tends to constrict the tube.

The ideal controller is then obtained which is in general a complicated irrational transfer matrix, for which model reduction with recursive least squares is applied in the frequency domain to obtain a much simpler transfer matrix with its elements in the form of rational transfer function plus delay.

The chapter introduces the concept of vectors and matrices, for which there are many applications in engineering and science.

In fact, in the previous studies, this technique has given eigenvalue problems for non-symmetric matrices for which the problem of the existence of complex eigenvalues arises.

We show that the traditional (Faddeev Marchenko) condition is too restrictive to define the class of CMV matrices for which there exists a unique scattering representation.

The corresponding multidimensional arrays are approximated by low-rank tensor-train decompositions reducing them to combinations of small low-dimensional arrays, eventually to matrices for which we can use fast algorithms of linear algebra.

The assignment equations are then used within an algorithm for global optimization to solve the problem of exactly assigning the eigenvalues of the nominal plant, while maximizing the norm of perturbation matrices for which the perturbed eigenvalues remain in specified regions of the complex plane.