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2018 Workshop on New Methods for Zimmer’s Conjecture
2018 Workshop New Methods for Zimmer’s Conjecture
2017/12/20
The purpose of this workshop is to bring focused attention on a recent breakthrough by Brown, Fisher and ZIM2018_imageHurtado on Zimmer’s Conjecture. The conjecture concerns low dimensional actions of...
2017年计算机视觉矩阵和张量因子分解方法研讨会（Workshop on Matrix and Tensor Factorization Methods in Computer Vision）
2017年 计算机视觉矩阵和张量因子分解方法 研讨会
2017/9/21
Matrix and tensor factorizations have a long history in machine learning. Being able to recover latent factors in the data and flexible enough to accommodate a large set of constraints and regularizat...
The International Conference Numerical Methods and Applied Mathematics (NMAM2016)
Numerical Methods Applied Mathematics
2016/7/20
You are invited to participate in The International Conference Numerical Methods and Applied Mathematics (NMAM2016) that will be held in Lodz, Poland on September 19-21, 2016. The event will be held o...
A pedestrian introduction to fast multipole methods
fast multipole method non-oscillatory kernels oscillatory kernels multiscale methods
2015/7/14
This paper provides a conceptual and non-rigorous description of the fast multipole methods for evaluating convolution kernel functions with source distributions. Both the non-oscillatory and the osci...
SWEEPING PRECONDITIONERS FOR ELASTIC WAVE PROPAGATION WITH SPECTRAL ELEMENT METHODS
Elastic wave seismic wave time-harmonic frequency domain spectral elements parallel preconditioner iterative solver sparse-direct perfectly matched layers full waveform inversion
2015/7/14
We present a parallel preconditioning method for the iterative solution of the time-harmonicelastic wave equation which makes use of higher-order spectral elements to reduce pollution error. In partic...
An analytic comparison of permutation methods for tests of partial regression coefficients in the linear model
analytic comparison permutation methods linear model
2010/9/21
An analytic comparison of permutation methods for tests of partial regression coefficients in the linear model.
Implementation of 2-point 2-step methods for the solution of first order ODEs
Block methods Ordinary Differential Equation
2010/9/20
In this paper the 2 point 2 step methods (2PG, M2PG, M2PF) for solving system of first order ordinary differential equations are proposed. These methods at each step will approximate the solutions of ...
Convergence of iterative methods for Solving Painleve equation
Painlev´ e equation Adomian decomposition method
2010/9/25
In this paper, a Painlev´e equation is solved by using the Adomian’s decomposition method (ADM) , modified Adomian’s decomposition method (MADM), variational iteration method (VIM), modified var...
A comparison of various influential points diagnostic methods and robust regression approaches: Reanalysis of interstitial lung disease data
robust regression methods local influence likelihood displacement
2010/9/25
In a linear regression model, the estimation of regression parameters by ordinary least squares method is affected by some anomalous points in the data set. Thus, detection of these abnormal points is...
The Validity of Company Valuation Using Discounted Cash Flow Methods
Discounted Cash Flow valuation method
2010/4/27
This paper closely examines theoretical and practical aspects of the widely used discounted cash flows (DCF) valuation method. It assesses its potentials as well as several weaknesses. A special empha...
Preconditioned global FOM and GMRES methods for solving Lyapunov matrix equations
Lyapunov matrix equations SSOR Preconditioning
2010/9/10
This paper presents, a preconditioned version of global FOM and GMRES methods for solving Lyapunov matrix equations AX + XAT = −BTB.These preconditioned methods are based on the global full orth...
Sensitivity and stability analysis in DEA on interval data by using MOLP methods
Data envelopment analysis Sensitivity and radius stability analysis MOLP Interval dat
2010/9/13
In this paper, we suppose a method for analyzing sensitivity and stability of all the decision making units, while inputs and outputs are interval data. Therefore, for estimating radius of stability o...
Some modified extragradient approximation methods for variational inequality problems and equilibrium problems of nonexpansive mappings
Nonexpansive mappings Monotone L-Lipschitz continuous mapping
2010/9/13
In this paper, we introduce a modified extragradient approximation method for finding the common element of the set of fixed points of nonexpansive mapping, the set of solutions of an equilibrium prob...
Design of new diagonally implicit Runge朘utta methods for stiff problems
ODE solver Runge-Kutta method
2010/9/15
This paper presents new fifth-order diagonally implicit Runge-Kutta integration formulas for stiff initial value problems, designed to be Lstable method. The stability of the method is analyzed and nu...
A Monte Carlo comparison between ridge and principal components regression methods
Multicollinearity ridge regression principal component regression
2010/9/15
A basic assumption concerned with general linear regression model is that there is no correlation (or no multicollinearity) between the explanatory variables. When this assumption is not satisfied, th...