Výsledky vyhľadávania - "Convex Programming"

Blind Deconvolution Using Convex Programming Autor Ahmed, Ali, Recht, Benjamin, Romberg, Justin

“…We consider the problem of recovering two unknown vectors, w and x, of length L from their circular convolution. We make the structural assumption that the two…”
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SMC: Satisfiability Modulo Convex Programming Autor Shoukry, Yasser, Nuzzo, Pierluigi, Sangiovanni-Vincentelli, Alberto L., Seshia, Sanjit A., Pappas, George J., Tabuada, Paulo

“… On the other hand, problems in control, communications, signal processing, and machine learning often rely on convex programming as a powerful solution engine…”
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Microgrids Energy Management Using Robust Convex Programming Autor Giraldo, Juan S., Castrillon, Jhon A., Lopez, Juan Camilo, Rider, Marcos J., Castro, Carlos A.

“…This paper presents an energy management system (EMS) for single-phase or balanced three-phase microgrids via robust convex optimization. Along a finite…”
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Automatic robust convex programming Autor Lofberg, Johan

“…This paper presents the robust optimization framework in the modelling language YALMIP, which carries out robust modelling and uncertainty elimination…”
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A Strictly Contractive Peaceman--Rachford Splitting Method for Convex Programming Autor He, Bingsheng, Liu, Han, Wang, Zhaoran, Yuan, Xiaoming

“…In this paper, we focus on the application of the Peaceman-Rachford splitting method (PRSM) to a convex minimization model with linear constraints and a…”
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Weak Loss Convexification for Sequential Convex Programming Autor Deng, Yunshan, Xia, Yuanqing, Sun, Zhongqi, Li, Chang, Hu, Rui

“…This article presents a methodology to reduce the convexification loss in sequential convex programming for a class of nonconvex optimal control problems…”
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Max-Linear Regression by Convex Programming Autor Kim, Seonho, Bahmani, Sohail, Lee, Kiryung

“…We consider the multivariate max-linear regression problem where the model parameters <inline-formula> <tex-math notation="LaTeX"> {\beta }_{1},\dotsc, {\beta…”
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Minimum Loss Network Reconfiguration Using Mixed-Integer Convex Programming Autor Jabr, R. A., Singh, R., Pal, B. C.

“…This paper proposes a mixed-integer conic programming formulation for the minimum loss distribution network reconfiguration problem. This formulation has two…”
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Optimal Dimensioning and Power Management of a Fuel Cell/Battery Hybrid Bus via Convex Programming Autor Hu, Xiaosong, Murgovski, Nikolce, Johannesson, Lars Mardh, Egardt, Bo

“… This paper adds three important contributions to the FCHVs-related literature. First, convex programming is extended to rapidly and efficiently optimize both the power management strategy and sizes of the fuel cell system (FCS…”
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Convex programming based spectral clustering Autor Mizutani, Tomohiko

“… The use of the k -means method in the grouping stage is currently standard practice. We present a spectral clustering algorithm that uses convex programming in the grouping stage and study how well it works…”
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Optimal battery sizing of smart home via convex programming Autor Wu, Xiaohua, Hu, Xiaosong, Yin, Xiaofeng, Zhang, Caiping, Qian, Shide

“…This paper develops a convex programming (CP) framework for optimal sizing and energy management of smart home with battery energy storage system (BESS) and photovoltaic (PV…”
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Convex programming energy management and components sizing of a plug-in fuel cell urban logistics vehicle Autor Wu, Xiaohua, Hu, Xiaosong, Yin, Xiaofeng, Li, Lei, Zeng, Zhaowei, Pickert, Volker

“… Based on the propulsion system structure, fuel cell system model, and convex battery health model, a convex programming problem is formulated to simultaneously optimize both the control decision…”
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PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming Autor Candès, Emmanuel J., Strohmer, Thomas, Voroninski, Vladislav

“…Suppose we wish to recover a signal \input amssym $\font\abc=cmmib10\def\bi#1{\hbox{\abc#1}} {\bi x} \in {\Bbb C}^n$ from m intensity measurements of the form…”
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Improved sequential convex programming using modified Chebyshev–Picard iteration for ascent trajectory optimization Autor Ma, Yangyang, Pan, Binfeng, Hao, Chuanchuan, Tang, Shuo

“…This paper presents an improved sequential convex programming (SCP) algorithm for ascent trajectory optimization of launch vehicles, by exploiting the state-of-the-art modified Chebyshev–Picard iteration (MCPI) technique…”
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Difference of Convex programming in adversarial SVM Autor Astorino, Annabella, Gaudioso, Manlio, Gorgone, Enrico, Manca, Benedetto

“…We present two models in adversarial machine learning, focussing on the Support Vector Machine framework. In particular, we consider both an evasion and a…”
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Reduced Space Sequential Convex Programming for Rapid Trajectory Optimization Autor Ma, Yangyang, Pan, Binfeng, Tang, Jingyuan

“… Motivated by the real-time requirements of onboard aerospac applications, this article presents a unified framework for reduced space sequential convex programming formulations, emphasizing…”
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NURBS-Based Sequential Convex Programming for Onboard Trajectory Optimization Autor Zhao, Mengxin, Pan, Binfeng, Ran, Yunting, Huang, Longxin

“…This article proposes an enhanced approach to sequential convex programming for optimizing onboard trajectories by incorporating nonuniform rational basis splines (NURBS) curves…”
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Model Predictive Convex Programming for Constrained Vehicle Guidance Autor Hong, Haichao, Maity, Arnab, Holzapfel, Florian, Tang, Shengjing

“…A new model predictive convex programming is proposed in this paper for state and input constrained vehicle guidance design…”
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Exact and Stable Covariance Estimation From Quadratic Sampling via Convex Programming Autor Yuxin Chen, Yuejie Chi, Goldsmith, Andrea J.

“…Statistical inference and information processing of high-dimensional data often require an efficient and accurate estimation of their second-order statistics…”
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Robust 1-bit Compressed Sensing and Sparse Logistic Regression: A Convex Programming Approach Autor Plan, Y., Vershynin, R.

“…This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program…”
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