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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...
Sixth Method as a Simplified Measurement for SMEs?
BEPS Simplified measurements Sixth method SMEs Transfer pricing
2016/1/27
In December 2014, OECD issued a Discussion Draft on Transfer Pricing aspects of cross-border commodity transactions through BEPS action 10, where the adoption of the sixth method in the form of the qu...
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...
Jackknife Empirical Likelihood Method for Some Risk Measures and Related Quantities
Confidence interval jackknife empirical likelihood risk measure
2016/1/25
Quantifying risks is of importance in insurance. In this paper, we employ the jackknife empirical likelihood method to construct confidence intervals for some risk measures and related quantities stud...
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...
As technology continues to scale beyond 100nm, there is a significant increase in performance uncertainty of CMOS logic due to process and environmental variations. Traditional circuit optimization me...
A Heuristic Method for Statistical Digital Circuit Sizing
Design for manufacturing design for yield statistical circuit sizing
2015/7/10
In this paper we give a brief overview of a heuristic method for approximately solving a statistical digital circuit sizing problem, by reducing it to a related deterministic sizing problem that inclu...
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...
An Interior-Point Method for Large Scale Network Utility Maximization
An Interior-Point Method Large Scale Network Utility Maximization
2015/7/10
We describe a specialized truncated Newton primal-dual interior-point method that solves large scale network utility maximization problems, with concave utility functions, efficiently and reliably. Ou...
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...
An Efficient Method for Large-scale Slack Allocation
timing graph, slack allocation delay budgeting convex optimization
2015/7/9
We consider a timing or project graph, with given delays on the edges and given arrival times at the source and sink nodes. We are to find the arrival times at the other nodes; these determine the tim...
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...