今天介绍的这种算法,Difference of Convex Algorithm,也就是DCA,以便咱们解决非凸优化问题。 但这种问题仅仅针对某些特定情况。 首先,咱们对这串英文进行解读,Difference理解为差,convex是凸,即凸函数,algorithm嘛,你们自己查词典,哈哈哈。所以呢,DCA就是两个凸函数的差的算法。 你们肯定懵逼了,啥凸函数的差?Emmm, ...
A proximal difference-of-convex algorithm with extrapolation. Computational Optimization and Applications, 69(2):297-324, Mar 2018.B. Wen, X. J. Chen, and T. K. Pong. A proximal difference-of-convex algorithm with extrapolation. Compu- tational Optimization and Applications, 69(2):297-324,...
optimization, Bosted difference of convex... Learn more about optimization, dc-problem, mathematics Optimization Toolbox
Support vector machine (SVM) is a supervised machine learning algorithm for classification and regression problems. SVM performs better when combined with ... SA Abdulraheem,S Aliyu,FB Abdullahi - 《Journal of Nigerian Society of Physical Sciences》 被引量: 0发表: 2023年 Hyperparameter tuning via...
Proofof3) 4.DCProgramming •4.1PrimalProblem •4.2DualProblem •4.3DCAlgorithm(DCA) 4.1PrimalProblem •Ageneralform 0 inf{():,()0,1,2,...,} n i fxxXRfximα=∈⊆≤= Wheref i =g i -h i ,i=1,2,…,mareDCfunctionsandXis aclosedconvexsubsetofR n . Constrained(closed)SetX...
This paper studies the difference-of-convex (DC) penalty formulations and the associated difference-of-convex algorithm (DCA) for computing stationary solutions of linear programs with complementarity constraints (LPCCs). We focus on three such formulations and establish connections between their stationar...
The union of the L e-2e regularization and L 0 -gradient improves the performance of image deblurring and yields high-quality blur kernel estimates. Finally, we design a new solution format that alternately iterates the difference of convex algorithm, the split Bregman method, and the approach ...
characteristics of the spectrum for the indefinite kernel matrix, IKSVM-DC decomposes the objective function into the subtraction of two convex functions and thus reformulates the primal problem as a difference of convex functions (DC) programming which can be optimized by the DC algorithm (DCA)....
Two new penalty methods for sparse reconstruction are proposed based on two types of difference of convex functions (DC for short) programming in which the DC objective functions are the difference of l1 and lσ q norms and the difference of l1 and lr norms with r > 1. By introducing a ...
To fill this gap, we investigate the non-asymptotic convergence analysis of neural TD combined with Adam-type algorithm under Markovian model. In fact, there are three challenges in bridging the gap: (1) The update of TD algorithm does not follow the direction of stochastic gradient in the op...