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This paper gives new algorithms for convex quadratic programming and linear programming. The algorithms mainly deal with nonconstrained maximization problems with simple concave objective functions. T...
In this paper, authors consider Bahadur asymptotic efficiency of MLE {\bar β}_{ML} of β, which is an unknown parameter vector in the semiparametric regression model Y_i=X_i~T β + g(T_i) + i, where g i...
By means of the perturbation theorem of simple eigenvalue of linear operator and the stability theorem of bifurcation solutions, we discuss one of the open questions pointed out in [1], and prove that...
A method for solving nonlinear polynomial equations is given which avoids the appearance of redundant factors as in the previous characteristic set method developed by the present author. The new meth...
We develop the interpolated finite element method to solve second-order hyperbolic equations. The standard linear finite element solution is used to generate a newsolution by quadratic interpolation o...
The analysis and evaluation of an actual port system containing R differentship's kinds and N subsystems each of which consists of M.(i=1, 2,…, N) ports arederived. The external arrivals of ships to t...
A new feasible algorithm is proposed for the minimization of a continuously differentiable function subject to inequality constraints. This algorithm only needs to solve one quadratic programming subp...
In this paper, we discuss the accelerating convergence method for finite element approximation of integro-differential equations with parameters. As applications, we give the error estimates of finite...
A MODEL FOR MEDIUM-OR LONG-TERM PLANNINGA          2007/8/7
The PDAS(Production Distribution Area,Spatial)is an efficient method for optimalanalysis of the existing industrial production spatial distribution. As the main problem formedium- and long-term progra...
In this paper we study Galerkin approximations to the solution of the nonlinear Sobolev equation c(u)u_t=▽·{a(u)▽u_t+b(u)▽u}+f(u) in two spatial dimensions and derive optimal L~2 error estimates for t...
MODELLING RANDOM CONVEX SETS          2007/8/7
A model is developed for convex-set valued data, which are the Minkowski sum of aconvex parameter set and a convex noise set. This model is generalized to include location and scale parameters. A furt...
In this paper,a numerical analysis of finite element methods for Fredholm equations of the first kind, which is based upon regularization, is made. It shows that extrapolation algorithms can accelerat...
The Dantzig/Wolfe linear programming decomposition algorithm has had important economic interpretations as well as a widespread impact on solving large scale linear programming problem. In this paper ...
The purpose of this paper is to simplify the computations of the normal bordism groups Ω_i(W_f,M×P~∞;\phi_f) and Ω_i(C_f,\partial W;θ_f) which Salomonsen and Dax introduced respectively to study the e...
In this paper the bootstrap theories, which are based on the author's former paper, of M-typ eprincipal components and dispersion matrices and M-type PP tests for multivariate locationand scale are ob...

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