搜索结果: 91-105 共查到“知识库 管理信息系统”相关记录2040条 . 查询时间(1.406 秒)
CVXGEN:A Code Generator for Embedded Convex Optimization
Convex optimization Code generation Embedded optimization
2015/7/9
CVXGEN is a software tool that takes a high level description of a convex optimization problem family, and automatically generates custom C code that compiles into a reliable, high speed solver for th...
Moving Horizon Estimation for Staged QP Problems
Moving Horizon Estimation Staged QP Problems
2015/7/9
This paper considers moving horizon estimation (MHE) approach to solution of staged quadratic programming (QP) problems. Using an insight into the constrained solution structure for the growing horizo...
An ADMM Algorithm for a Class of Total Variation Regularized Estimation Problems
Signal processing algorithms stochastic parameters parameter estimation
2015/7/9
We present an alternating augmented Lagrangian method for convex optimization problems where the cost function is the sum of two terms, one that is separable in the variable blocks, and a second that ...
Robust Optimization of Adiabatic Tapers for Coupling to Slow-Light Photonic-Crystal Waveguides
Computational electromagnetic methods Optoelectronics Photonic crystal waveguides Photonic integrated circuits
2015/7/9
We investigate the design of taper structures for coupling to slow-light modes of various photonic-crystal waveguides while taking into account parameter uncertainties inherent in practical fabricatio...
Accuracy at the Top
Accuracy at the Top
2015/7/9
We introduce a new notion of classification accuracy based on the top tau-quantile values of a scoring function, a relevant criterion in a number of problems arising for search engines. We de...
A Distributed Algorithm for Fitting Generalized Additive Models
Convex optimization Distributed optimization Generalized additive models
2015/7/9
Generalized additive models are an effective regression tool, popular in the statistics literature, that provide an automatic extension of traditional linear models to nonlinear systems. We pres...
Code Generation for Embedded Second-Order Cone Programming
Code Generation Embedded Second-Order Cone Programming
2015/7/9
This paper describes a framework for generating easily verifiable code to solve convex optimization problems in embedded applications by transforming them into equivalent second-order cone programs. I...
The problem of maximizing a sum of sigmoidal functions over a convex constraint set arises in many application areas. This objective captures the idea of decreasing marginal returns to investment, and...
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...
Dynamic Network Energy Management via Proximal Message Passing
Network Energy Management Proximal Message Passing
2015/7/9
We consider a network of devices, such as generators, fixed loads, deferrable loads, and storage devices, each with its own dynamic constraints and objective, connected by AC and DC lines. The problem...
Block Splitting for Distributed Optimization
Distributed optimization · Alternating direction method of multipliers Operator splitting Proximal operators Cone programming Machine learning
2015/7/9
This paper describes a general purpose method for solving convex optimization problems in a distributed computing environment. In particular, if the problem data includes a large linear operator or ma...
Security Constrained Optimal Power Flow via Proximal Message Passing
Constrained Optimal Power Flow Proximal Message Passing
2015/7/9
In this paper, we propose a distributed algorithm to solve the Security Constrained Optimal Power Flow (SC-OPF) Problem. We consider a network of devices, each with its own dynamic constraints and obj...
We formulate multi-input multi-output (MIMO) proportional-integral-derivative (PID) controller design as an optimization problem that involves nonconvex quadratic matrix inequalities. We propose a sim...
Convex Optimization in Julia
Convex programming automatic verifcation symbolic computation multiple dispatch
2015/7/9
This paper describes Convex.jl, a convex optimization modeling framework in Julia. Convex.jl translates problems from a user-friendly functional language into an abstract syntax tree describing the pr...
Principal components analysis (PCA) is a well-known technique for approximating a data set represented by a matrix by a low rank matrix. Here, we extend the idea of PCA to handle arbitrary data sets c...