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预订Sparse Polynomial Optimization: Theory and Practice [ISBN:9781800612945] 【全球购】进口原版图书,约5-8周到达国内后发出 作者:Magron,Victor;Wang,Jie出版社:World Scientific Publishing Europe Ltd出版时间:2023年06月 手机专享价 ¥ 当当价 降价通知 ¥1060 ...
SparseSubspaceClustering:Algorithm,Theory,andApplicationsEhsanElhamifar,StudentMember,IEEE,andRene´Vidal,SeniorMember,IEEEAbstract—Manyreal-worldproblemsdealwithcollectionsofhigh-dimensionaldata,suchasimages,videos,text,andwebdocuments,DNAmicroarraydata,andmore.Often,suchhigh-dimensionaldatalieclosetolow-...
information about the distance to global optimaGlobal optimization methods find the global solution worst-case complexity grows exponentially with problem size.These methods are often based on solving convex subproblems.10 / 30Brief history of convex optimizationtheory (convex analysis): 1900–1970s ...
G. 其他基于邻近算法的优化方法(OTHER PROXIMITY ALGORITHM BASED OPTIMIZATION METHODS) 邻近算法(proximity algorithm)的理论基础是首先构建一个邻近操作(proximal operator),接着使用这个邻近操作来求解凸优化问题。 [29] N. Parikh and S. Boyd, ‘‘Proximal algorithms,’’ Found. Trends Optim., vol. 1, no...
K Lee,Y Wu,Y Bresler - 《IEEE Transactions on Information Theory》 被引量: 81发表: 2013年 Worst-Case Complexity of Smoothing Quadratic Regularization Methods for Non-Lipschitzian Optimization Summary: In this paper, we propose a smoothing quadratic regularization (SQR) algorithm for solving a class...
L Luksan,C Matonoha,J Vlcek - Institute of Information Theory and Automation of the Academy of Sciences of the Czech Republic 被引量: 0发表: 2009年 加载更多来源期刊 Optimization Methods and Software 研究点推荐 large sparse l 1 optimization interior-point method Trust-region interior-point met...
出版者:Society for Industrial and Applied Mathematics 作者:Yousef Saad 出品人: 页数:184 译者: 出版时间:2003-04-30 价格:USD 102.00 装帧:Paperback isbn号码:9780898715347 丛书系列: 图书标签:数学算法数值分析math线性代数稀疏矩阵数值代数 Iterative Methods for Sparse Linear Systems, Second Edition 2024 pdf...
. The public availability of the source code used in the numerical experiments throughout the book could help students make the transition from theory to practice and allow them to get hands-on experience with the inner workings of the various algorithms.” (Ewout van den Berg, SIAM...
optimization method improves the convergence rate and stability, and ii) L1-penalized logistic regression (L1-LogReg) by our method identifies a smaller subgraph set, keeping the competitive performance, iii) the learned subgraphs by L1-LogReg are more size-balanced than competing methods, which are...