1. Preface: Special Issue on Data-Driven Optimization Models and Algorithms

   • Yan-Qin Bai
   • Yu-Hong Dai
   • Nai-Hua Xiu

   OriginalPaper 21 December 2015 Pages: 389 - 390

2. PPA-Like Contraction Methods for Convex Optimization: A Framework Using Variational Inequality Approach

   • Bing-Sheng He

   OriginalPaper 17 December 2015 Pages: 391 - 420

   

3. On Solutions of Sparsity Constrained Optimization

   • Li-Li Pan
   • Nai-Hua Xiu
   • Sheng-Long Zhou

   OriginalPaper 30 October 2015 Pages: 421 - 439

   

4. Entropy Function-Based Algorithms for Solving a Class of Nonconvex Minimization Problems

   • Yu-Fan Li
   • Zheng-Hai Huang
   • Min Zhang

   OriginalPaper 16 November 2015 Pages: 441 - 458

   

5. A Note on the Complexity of Proximal Iterative Hard Thresholding Algorithm

   • Xue Zhang
   • Xiao-Qun Zhang

   OriginalPaper 27 November 2015 Pages: 459 - 473

   

6. A Sequential Regression Model for Big Data with Attributive Explanatory Variables

   • Qing-Ting Zhang
   • Yuan Liu
   • Zhou-Wang Yang

   OriginalPaper 14 December 2015 Pages: 475 - 488

   

7. A Linear Mixed Integer Programming Model for N-Vehicle Exploration Problem

   • Li-Li Wang
   • Bing-Ling She
   • Jin-Chaun Cui

   OriginalPaper 14 October 2015 Pages: 489 - 498

8. Nonparallel Support Vector Machine Based on One Optimization Problem for Pattern Recognition

   • Ying-Jie Tian
   • Xu-Chan Ju

   OriginalPaper 09 October 2015 Pages: 499 - 519

   

9. The First-Order Necessary Conditions for Sparsity Constrained Optimization

   • Xue Li
   • Wen Song

   OriginalPaper 09 December 2015 Pages: 521 - 535

   

10. Online Learning over a Decentralized Network Through ADMM

    • Hao-Feng Xu
    • Qing Ling
    • Alejandro Ribeiro

    OriginalPaper 07 December 2015 Pages: 537 - 562

    

11. Convergence Analysis of L-ADMM for Multi-block Linear-Constrained Separable Convex Minimization Problem

    • Jun-Kai Feng
    • Hai-Bin Zhang
    • Hui-Min Pei

    OriginalPaper 11 July 2015 Pages: 563 - 579