Results 31 to 40 of about 172,072 (313)

THE DEVELOPMENT METHOD OF APPROXIMATION THE OBJECTIVE FUNCTION TO SOLVE FRACTIONAL LINEAR FRACTIONAL PROBLEMS. [PDF]

مجلة جامعة الانبار للعلوم الصرفة, 2012
Approximation of Fractional objective function one of methods to solve Fractional linear programming problems(F.L.P.P.) using steps and Approximation of objective function.
WALEED KH. JABER, ABBAS A. HASSAN
doaj   +1 more source

Approximation of 2π-periodic functions by Taylor—Abel—Poisson operators in the integral metric

Доповiдi Нацiональної академiї наук України
We obtain direct and inverse approximation theorems of 2π-periodic functions by Taylor — Abel — Poisson operators in the integral metric.
J. Prestin, V.V. Savchuk, A.L. Shidlich
doaj   +1 more source

A Penalized-Equation-Based Generalized Newton Method for Solving Absolute-Value Linear Complementarity Problems

Journal of Mathematics, 2014
We consider a class of absolute-value linear complementarity problems. We propose a new approximation reformulation of absolute value linear complementarity problems by using a nonlinear penalized equation.
Yuan Li, Hai-Shan Han, Dan-Dan Yang
doaj   +1 more source

Cálculo do Volume Molar de um Gás de van der Waals em SCILAB: o Método Newton-Raphson na Resolução de um Problema Físico-Químico

Orbital: The Electronic Journal of Chemistry, 2014
The use of software in chemical calculations is a constant reality in both laboratories as well as in simulation processes of chemical transformations.
Diogenes Filho, Antonio Alves de Melo Filho   +1 more
doaj   +1 more source

Koopman Operator Framework for Spectral Analysis and Identification of Infinite-Dimensional Systems

Mathematics, 2021
We consider the Koopman operator theory in the context of nonlinear infinite-dimensional systems, where the operator is defined over a space of bounded continuous functionals. The properties of the Koopman semigroup are described and a finite-dimensional
Alexandre Mauroy
doaj   +1 more source

A Linear Approximation Method for Probabilistic Inference

CoRR, 2013
An approximation method is presented for probabilistic inference with continuous random variables. These problems can arise in many practical problems, in particular where there are "second order" probabilities. The approximation, based on the Gaussian influence diagram, iterates over linear approximations to the inference problem.
openaire   +2 more sources

Orthogonal Functions Solving Linear functional Differential EquationsUsing Chebyshev Polynomial

مجلة بغداد للعلوم, 2008
A method for Approximated evaluation of linear functional differential equations is described. where a function approximation as a linear combination of a set of orthogonal basis functions which are chebyshev functions .The coefficients of the ...
Baghdad Science Journal
doaj   +1 more source

An Efficient Method for Solving [PDF]

Kirkuk Journal of Science, 2008
This paper presents a new method for solving fractional partial differential equations (FPDE) which is called the polynomial approximation method based on the polynomial approximation uN(x,t) and on its general fractional derivative formula.By modifying ...
Omar M. Al-Faour
doaj   +1 more source

Method of Chebyshev centers for best linear one-sided \(L_p\)-approximation

Journal of Numerical Analysis and Approximation Theory, 1977
Not available.
I. Maruşciac
doaj   +2 more sources

An efficient method for the discrete linear 𝐿₁ approximation problem [PDF]

Mathematics of Computation, 1975
An improved dual simplex algorithm for the solution of the discrete linear L 1
openaire   +1 more source