This paper aims to focus on inclusive growth and its impact on multidimensional poverty and inequality in Iran's provinces on the basis of social mobility index. The results suggest, that although the multi-dimensional poverty has decreased, participation of active labor force has a decisive role in inclusive growth and reduction of absolute multi-dimensional poverty of the provinces. But l...

The d-dimensional Euclidean space Rd is the d-dimensional vector space over the real numbers R where we have the familiar notions of distances and angles from classical plane geometry. The space Rd is comprised of vectors (or points), which can be added (z := x + y for x,y ∈ Rd) and scaled by real numbers (z := cx for c ∈ R and x ∈ Rd) to obtain other vectors in Rd. Every vector x ∈ Rd has a (E...

In this paper, we focus on the structured multi-frame vectors in Hilbert $C^*$-modules. More precisely, it will be shown that the set of all complete multi-frame vectors for a unitary system can be parameterized by the set of all surjective operators, in the local commutant. Similar results hold for the set of all complete wandering vectors and complete multi-Riesz vectors, when the surjective ...

We examine a new optimization problem formulated in the tropical mathematics setting as a further extension of certain known problems. The problem is to minimize a nonlinear objective function, which is defined on vectors over an idempotent semifield by using multiplicative conjugate transposition, subject to inequality constraints. As compared to the known problems, the new one has a more gene...

Hermite-Hadamard inequality is one of the fundamental applications of convex functions in Theory of Inequality. In this paper, Hermite-Hadamard inequalities for $mathbb{B}$-convex and $mathbb{B}^{-1}$-convex functions are proven.

We establish a quantitative bound on the entropy jump associated to the sum of independent, identically distributed (IID) radially symmetric random vectors having dimension greater than one. Following the usual approach, we first consider the analogous problem of Fisher information dissipation, and then integrate along the Ornstein-Uhlenbeck semigroup to obtain an entropic inequality. In a depa...

Vector quantization is an eecient lossy digital signal compression method. It encodes a k-dimensional vector by a reference in a dictionary { or code-book { of representative vectors called codewords. Mean-shape-gain vector quantizers (MSGVQ) encode separately the mean and the length { or gain { of the vector, using two scalar quantizers. The mean-removed, normalized vector is called the shape,...

For time-delay systems with mismatched disturbances and uncertainties, this paper developed an integral sliding mode control algorithm using output information only to stabilize the system. An integral sliding surface is comprised of output vectors and an auxiliary full-order compensator. The proposed output feedback sliding mode controller can satisfy the reaching and sliding condition and mai...