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In this paper, we extend some definitions and properties for the 2-dimensional matrices to the 3-dimensional matrices. We present some basic concepts of the 3-dimensional matrices. Moreover, we introduce the matrix inversion, determinant and condition number vectors for the 3-D matrices. Furthermore, we state and prove Cauchy-Schwarz inequality and some other inequalities related to the 3-dimensional matrix norms. We finally investigate the effects of the third dimension with the new definitions and inequalities by some examples. [ABSTRACT FROM AUTHOR]

In this work, we introduce alternative numerical procedures based on a combination of split-step and partially implicit methods to solve a class of nonlinear stochastic differential equation that arise from certain physical and financial applications. Considering certain monotonicity and polynomial growth conditions, we focus on the moment estimates of both the actual and the numerical solutions of a generalized version of stochastic Ginzburg-Landau equations. [ABSTRACT FROM AUTHOR]