Results 1 to 10 of about 92 (88)
Abstract Parenting interventions can improve parenting outcomes, with widespread implications for children's developmental trajectories. Relational savoring (RS) is a brief attachment‐based intervention with high potential for dissemination. Here we examine data from a recent intervention trial in order to isolate the mechanisms by which savoring ...
Jessica L. Borelli +5 more
wiley +1 more source
ABSTRACT Latina immigrant women are vulnerable to traumatic stress and sexual health disparities. Without autonomy over their reproductive health and related decision‐making, reproductive justice is elusive. We analyzed behavioral health data from 175 Latina immigrant participants (M age = 35; range = 18–64) of the International Latino Research ...
Lisa R. Fortuna +7 more
wiley +1 more source
On Hilbert extensions of Weierstrass′ theorem with weights
In this paper we study the set of ℊ‐valued functions which can be approximated by ℊ‐valued continuous functions in the norm Lℊ∞(I,w), where I ⊂ ℝ is a compact interval, ℊ is a separable real Hilbert space and w is a certain ℊ‐valued weakly measurable weight. Thus, we obtain a new extension of the celebrated Weierstrass approximation theorem.
Yamilet Quintana, Wilfredo Urbina
wiley +1 more source
On the denseness of Jacobi polynomials
Let X represent either a space C[−1, 1] or Lα,βp(w), 1 ≤ p < ∞, of functions on [−1, 1]. It is well known that X are Banach spaces under the sup and the p‐norms, respectively. We prove that there exist the best possible normalized Banach subspaces Xα,βk of X such that the system of Jacobi polynomials is densely spread on these, or, in other words, each
Sarjoo Prasad Yadav
wiley +1 more source
Shape‐preserving multivariate polynomial approximation in C[−1,1]m
We construct multivariate polynomials attached to a function f of m variables, m ≥ 2 , which approximate f with Jackson‐type rate involving a multivariate Ditzian‐Totik ω2φ‐modulus and preserve some natural kinds of multivariate monotonicity and convexity of function.
Ciprian S. Gal, Sorin G. Gal
wiley +1 more source
Numerical approximation for integral equations
A numerical algorithm, based on a decomposition technique, is presented for solving a class of nonlinear integral equations. The scheme is shown to be highly accurate, and only few terms are required to obtain accurate computable solutions.
Elias Deeba, Shishen Xie
wiley +1 more source
Asymptotic‐group analysis of algebraic equations
Both the method of asymptotic analysis and the theory of extension group are applied to study the Descates equation. The proposed algorithm allows to obtain various variants of simplification and can be easily generalized to their algebraic and differential equations.
A. D. Shamrovskii +2 more
wiley +1 more source
A linear numerical scheme for nonlinear BSDEs with uniformly continuous coefficients
We attempt to present a new numerical approach to solve nonlinear backward stochastic differential equations. First, we present some definitions and theorems to obtain the condition, from which we can approximate the nonlinear term of the backward stochastic differential equation (BSDE) and we get a continuous piecewise linear BSDE corresponding to the
Omid. S. Fard, Ali V. Kamyad
wiley +1 more source
On the convergence properties of basic series representing Clifford valued functions
It is shown that certain classes of special monogenic functions cannot be represented by the basic series in the whole space. New definitions for the order of basis of special monogenic polynomials are given, together with theorems on the representation of classes of special monogenic functions in certain balls and at a point.
M. A. Abul-Ez, D. Constales
wiley +1 more source
On constrained uniform approximation
The problem of uniform approximants subject to Hermite interpolatory constraints is considered with an alternate approach. The uniqueness and the convergence aspects of this problem are also discussed. Our approach is based on work of P. Kirchberger (1903) and a generalization of Weierstrass approximation theorem.
M. A. Bokhari
wiley +1 more source

