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You are cordially invited to apply for the IACMR Research Methods Workshop to be held from July 9-13, 2017, at Huazhong University of Science & Technology, Wuhan, China. The purposes of the workshop a...
Usefulness of K-means Method in Detection Corporate Crisis
Assets turnover Average collection period Cluster analysis Current ratio
2016/1/27
Market situation and business environment of construction companies influence significantly decisions met by this group of entities. These decisions are reflected in financial statements, later on. Th...
Method of centers for minimizing generalized eigenvalues
quasiconvex nondifferentiable optimization generalized eigenvalue
2015/7/13
We consider the problem of minimizing the largest generalized eigenvalue of a pair of symmetric matrices, each of which depends affinely on the decision variables. Although this problem may appear spe...
A Primal-Dual Potential Reduction Method for Problems Involving Matrix Inequalities
Interior point algorithms Linear matrix inequaliües Semidefinite programming
2015/7/13
We describe a potential reduction method for convex optimization problems involving matrix inequalities. The method is based on the theory developed by Nesterov and Nemirovsky and generalizes Gonzaga ...
A path-following method for solving BMI problems in control
Bilinear matrix inequality (BMI) equality (LMI) low-authority control
2015/7/10
In this paper we present a path-following (homotopy) method for (locally) solving bilinear matrix inequality (BMI) problems in control. The method is to linearize the BMI using a first order perturbat...
An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression
logistic regression feature selection regularization regularization path
2015/7/10
Logistic regression with l1 regularization has been proposed as a promising method for feature selection in classification problems. In this paper we describe an efficient interior-point method for so...
A Tractable Method for Robust Downlink Beamforming in Wireless Communications
Tractable Method Robust Downlink Beamforming Wireless Communications
2015/7/10
In downlink beamforming in a multiple-input multiple-output (MIMO) wireless communication system, we design beamformers that minimize the power subject to guaranteeing given signal-to-interference noi...
We consider the problem of choosing the gate sizes or scale factors in a combinational logic circuit in order to minimize the total area, subject to simple RC timing constraints, and a minimum allowed...
Compressed Sensing Based Cone-Beam Computed Tomography Reconstruction with a First-Order Method
cone-beam computed tomography compressed sensing weighted least-squares
2015/7/9
This article considers the problem of reconstructing cone-beam computed tomography (CBCT) images from a set of undersampled and potentially noisy projection measurements. The authors cast the reconstr...
We apply an operator splitting technique to a generic linear-convex optimal control problem, which results in an algorithm that alternates between solving a quadratic control problem, for which there ...
A Primal-Dual Operator Splitting Method for Conic Optimization
Primal-Dual Operator Splitting Method Conic Optimization
2015/7/9
We develop a simple operator splitting method for solving a primal conic optimization problem; we show that the iterates also solve the dual problem. The resulting algorithm is very simple to describe...
Grid-Based Simulation and the Method of Conditional Least Squares
Grid-Based Simulation Method Conditional Least Squares
2015/7/8
This paper is concerned with the use of simulation to compute the conditional expectations that arise in the method of conditional least squares. Our approach involves performing simulations at each p...
Can the Regenerative Method be Applied to Discrete-Event Simulations?
Regenerative Method Applied Discrete-Event Simulations
2015/7/8
The regenerative method enjoys asymptotic properties that make it a highly desirable approach for steady-state simulation output analysis. It has been shown that virtually all discrete-event simulatio...
Constrained Monte Carlo and the Method of Control Variates
Constrained Monte Carlo Method Control Variates
2015/7/8
A constrained Monte Carlo problem arises when one computes an expectation in the presence of a priori computable constraints on the expectations of quantities that are correlated with the estimand. Th...
Some New Perspectives on the Method of Control Variates
Some New Perspectives Method Control Variates
2015/7/8
The method of control variates is one of the most widely used variance reduction techniques associated with Monte Carlo simulation. This paper studies the method of control variates from several diffe...