Results 91 to 100 of about 331,959 (146)

Sensitivity Analysis of SAR Estimators [PDF]

Estimators of spatial autoregressive (SAR) models depend in a highly non-linear way on the spatial correlation parameter and least squares (LS) estimators cannot be computed in closed form.
Sellner, Richard, Polasek, Wolfgang, Liu, Shuangzhe   +2 more
core  

Approximation Results: Szász–Kantorovich Operators Enhanced by Frobenius–Euler–Type Polynomials

Axioms
This research focuses on the approximation properties of Kantorovich-type operators using Frobenius–Euler–Simsek polynomials. The test functions and central moments are calculated as part of this study.
Nadeem Rao, Mohammad Farid, Mohd Raiz
doaj   +1 more source

Remark on Kantorovich theorem and Urabe's theorem

Remark on Kantorovich theorem and Urabe's theorem
Theoretical theorems are usually discussed on the real number system. But, in numerical computation, such system has to be approximated by real number system of a rather special type such as fixed point number system or floating point number system.
openaire   +1 more source

Parametrized Kantorovich-Rubinštein theorem and application to the coupling of random variables

, 2006
International audienceWe prove a version for random measures of the celebrated Kantorovich-Rubinstein duality theorem and we give an application to the coupling of random variables which extends and unifies known ...
Clémentine Prieur, Prieur, Clémentine, Dedecker, Jérôme, de Fitte, Paul Raynaud, Jérôme Dedecker, Paul Raynaud De Fitte   +5 more
core   +1 more source

On the comparison of a weak variant of the Newton–Kantorovich and Miranda theorems

Journal of Computational and Applied Mathematics, 2004
The author [J. Comput. Appl. Math. 157, 169--185 (2003; Zbl 1030.65060)] has shown a semi-local convergence theorem under weaker assumptions than those of the Newton-Kantorovich theorem. Operators satisfying the weakened Newton-Kantorovich conditions are shown to satisfy the conditions of the weakened Miranda theorem.
openaire   +2 more sources

The Kantorovich Theorem and interior point methods

, 2005
The Kantorovich Theorem is a fundamental tool in nonlinear analysis which has been extensively used in classical numerical analysis. In this paper we show that it can also be used in analyzing interior point methods. We obtain optimal bounds for Newton’s
Florian A. Potra
core  

Sensitivity Analysis of SAR Estimators: A Simulation Study [PDF]

Spatial autoregressive models come with a variety of estimators and it is interesting and useful to compare the estimators by location and covariance properties.
Richard Sellner, Shuangzhe Liu, Wolfgang Polasek   +2 more
core  

A theorem of stochastic representation related to Monge-Kantorovich problem

This paper specializes the Skorohod almost sure representation theorem when the stochastic representation is related to Monge-Kantorovich problem. It is a generalisation of the result of Tuero (1993) who treats the case of Lévy-Wasserstein metric.Monge ...
Belili, Nacereddine
core  

Mises, Kantorovich and Economic Computation [PDF]

An article that reviews the work of Kantorovich in the light of von Mises claim that rational calculations were impossible without markets. It gives a tutorial introduction to the use of Kantorovich's methods, compares his approach to that of Dantzig. An
Cockshott, W. Paul
core  

Evolutionary variational inequalities on the Hellinger-Kantorovich and spherical Hellinger-Kantorovich spaces

We study the minimizing movement scheme for families of geodesically semiconvex functionals defined on either the Hellinger--Kantorovich or the Spherical Hellinger--Kantorovich space.
Laschos, Vaios, Mielke, Alexander
core   +1 more source