搜索结果: 16-30 共查到“理学 convex optimization”相关记录30条 . 查询时间(0.14 秒)
Upper bounds on algebraic connectivity via convex optimization
Laplace operator matrix algebra connection Laplacian invariant subset matrix convex function
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2015/8/10
The second smallest eigenvalue of the Laplacian matrix L of a graph is called its algebraic connectivity. We describe a method for obtaining an upper bound on the algebraic connectivity of a family of...
Learning the kernel via convex optimization
Convex optimization kernel methods machine learning support vector machine
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2015/8/10
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel itself from given train...
Cutting-set methods for robust convex optimization with pessimizing oracles
robust optimization cutting-set methods semi-infi nite programming minimax optimization games
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2015/8/10
We consider a general worst-case robust convex optimization problem, with arbitrary dependence on the uncertain parameters, which are assumed to lie in some given set of possible values. We describe a...
Operation and configuration of a storage portfolio via convex optimization
Convex optimization Predictive control Energy management systems
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2015/8/7
We consider a portfolio of storage devices which is used to modify a commodity flow so as to minimize an average cost function. The individual storage devices have different parameters that characteri...
Convex optimization in Julia
Convex programming automati cerification symbolic computation multiple dispatch
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2015/8/7
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...
Exact Matrix Completion via Convex Optimization
Matrix completion low-rank matrices convex optimization duality in optimization nuclear norm minimization random matrices noncommutative Khintchine inequality decoupling compressed sensing
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2015/6/17
We consider a problem of considerable practical interest: the recovery of a data matrix from a sampling of its entries. Suppose that we observe m entries selected uniformly at random from a matrix M. ...
Discussion of “Latent Variable Graphical Model Selection via Convex Optimization”
Latent Variable Graphical Model Selection Convex Optimization
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2015/6/17
We wish to congratulate the authors for their innovative contribution, which is bound to inspire much further research. We find latent variable model selection to be a fantastic application of matrix ...
SLOPE – Adaptive Variable Selection via Convex Optimization
Sparse regression variable selection false discovery rate lasso sorted `1 penalized estimation (SLOPE)
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2015/6/17
We introduce a new estimator for the vector of coefficients β in the linear model y = Xβ +z, where X has dimensions n × p with p possibly larger than n. SLOPE, short for Sorted L-One Penalized Estimat...
Lambert’s theorem, convex optimization, and minimizing solutions of the n-body problems
Lambert’s theorem convex optimization minimizing solutions n-body problems
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2015/3/18
Lambert’s theorem, convex optimization, and minimizing solutions of the n-body problems.
Estimating a Signal from a Magnitude Spectrogram via Convex Optimization
Estimating a Signal Magnitude Spectrogram Convex Optimization
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2012/11/22
The problem of recovering a signal from the magnitude of its short-time Fourier transform (STFT) is a longstanding one in audio signal processing. Existing approaches rely on heuristics that often per...
Continuous-time distributed convex optimization on directed graphs
Continuous-time convex optimization directed graphs Optimization and Control
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2012/4/17
This paper studies the continuous-time distributed optimization of a sum of convex functions over directed graphs. Contrary to what is known in the consensus literature, where the same dynamics works ...
Stochastic convex optimization with bandit feedback
Stochastic convex optimization bandit feedback Optimization and Control
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2011/8/31
Abstract: This paper addresses the problem of minimizing a convex, Lipschitz function $f$ over a convex, compact set $\xset$ under a stochastic bandit feedback model. In this model, the algorithm is a...
Convex Optimization In Identification Of Stable Non-Linear State Space Models
Convex Optimization Identification Stable Non-Linear State Space Models
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2010/12/1
A new framework for nonlinear system identification is presented in terms of optimal fitting of stable nonlinear state space equations to input/output/state data, with a performance objective defined ...
A general algorithm for manipulating non-linear and linear entanglement witnesses by using exact convex optimization
manipulating non-linear linear entanglement witnesses exact convex optimization
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2010/4/9
A generic algorithm is developed to reduce the problem of obtaining linear and nonlinear entanglement witnesses of a given quantum system, to convex optimization problem. This approach is completely g...
Sensitivity analysis in parametrized convex optimization
Sensitivity analysis convex programming
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2010/9/16
In this paper, we study the behavior of the optimal value function associated to a convex minimization problem subject possibly to a nonlinear convex constraint without assuming the existence of optim...