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2017第十届“大规模系统开发管理”国际会议（2017 Tenth International Conference "Management of Large-Scale System Development" (MLSD)）
2017 第十届 大规模系统开发管理 国际会议
2017/9/14
International Conference «Management of large-scale system development»(MLSD) is cross-disciplinary forum of academicians, researchers, teachers and practicians. Since 2007 Conferen...
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...
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...
Block Splitting for Large-Scale Distributed Learning
Block Splitting Large-Scale Distributed Learning
2015/7/9
Machine learning and statistics with very large datasets is now a topic of widespread interest, both in academia and industry. Many such tasks can be posed as convex optimization problems, so algorith...
User’s Guide for SNOPT Version 7: Software for Large-Scale Nonlinear Programming
optimization large-scale nonlinear programming nonlinear constraints
2015/7/3
SNOPT is a general-purpose system for constrained optimization. It minimizes a
linear or nonlinear function subject to bounds on the variables and sparse linear or
nonlinear constraints. It is suita...
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
large-scale optimization nonlinear programming
2015/7/3
Sequential quadratic programming (SQP) methods have proved highly effective for solving constrained optimization problems with smooth nonlinear functions in the objective
and constraints.Here w...
Stable and efficient updates to the basis matrix factors are vital to the simplex
method. The "best" updating method depends on the machine in use and how the update is implemented. For example, the ...
LARGE-SCALE LINEARLY CONSTRAINED OPTIMIZATION
Large-scale Systems Linear Constraints Linear Programming
2015/7/3
An algorithm for solving large-scale nonlinear' programs with linear constraints is presented.
The method combines efficient sparse-matrix techniques as in the revised simplex method
with stable q...