CVX is a modeling system for constructing and solving disciplined convex programs (DCPs). CVX supports a number of standard problem types, including linear and quadratic programs (LPs/QPs), second-order cone programs (SOCPs), and semidefinite programs (SDPs). CVX can also solve much more complex convex optimization problems, including many involving nondifferentiable functions, such as ℓ1 norms. You can use CVX to conveniently formulate and solve constrained norm minimization, entropy maximization, determinant maximization, and many other convex programs. As of version 2.0, CVX also solves mixed integer disciplined convex programs (MIDCPs) as well, with an appropriate integer-capable solver.

References in zbMATH (referenced in 517 articles , 1 standard article )

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  1. Chai, Jing; Liu, Hongwei; Chen, Bo; Bao, Zheng: Large margin nearest local mean classifier (2010)
  2. Fourer, Robert; Maheshwari, Chandrakant; Neumaier, Arnold; Orban, Dominique; Schichl, Hermann: Convexity and concavity detection in computational graphs: tree walks for convexity assessment (2010)
  3. He, Simai; Li, Zhening; Zhang, Shuzhong: Approximation algorithms for homogeneous polynomial optimization with quadratic constraints (2010)
  4. Jiang, Jun-Zheng; Shui, Peng-Lang: Design of 2D linear phase DFT modulated filter banks using bi-iterative second-order cone program (2010)
  5. Jin, Yong; Liu, Ligang; Wu, Qingbiao: Nonhomogeneous scaling optimization for realtime image resizing (2010) ioport
  6. Kolar, Mladen; Song, Le; Ahmed, Amr; Xing, Eric P.: Estimating time-varying networks (2010)
  7. Mittelmann, Hans; Peng, Jiming: Estimating bounds for quadratic assignment problems associated with Hamming and Manhattan distance matrices based on semidefinite programming (2010)
  8. Nguyen, Dinh Hoa; Banjerdpongchai, David: Robust iterative learning control for linear systems with multiple time-invariant parametric uncertainties (2010)
  9. Nguyen, Minh Hoai; de la Torre, Fernando: Optimal feature selection for support vector machines (2010)
  10. Nguyen, Minh Hoai; De La Torre, Fernando: Metric learning for image alignment (2010) ioport
  11. Ohlsson, Henrik; Ljung, Lennart; Boyd, Stephen: Segmentation of ARX-models using sum-of-norms regularization (2010)
  12. Peng, Jiming; Mittelmann, Hans; Li, Xiaoxue: A new relaxation framework for quadratic assignment problems based on matrix splitting (2010)
  13. Pólik, Imre; Terlaky, Tamás: Interior point methods for nonlinear optimization (2010)
  14. Qiu, Wanzhi; Skafidas, Efstratios: Robust estimation of GCD with sparse coefficients (2010)
  15. Rübsamen, Michael; El-Keyi, Amr; Gershman, Alex B.; Kirubarajan, Thia: Robust broadband adaptive beamforming using convex optimization (2010)
  16. Singhal, Harsh; Michailidis, George: Optimal experiment design in a filtering context with application to sampled network data (2010)
  17. Sturmfels, Bernd; Uhler, Caroline: Multivariate Gaussians, semidefinite matrix completion, and convex algebraic geometry (2010)
  18. Vera, Julio; González-Alcón, Carlos; Marín-Sanguino, Alberto; Torres, Néstor: Optimization of biochemical systems through mathematical programming: methods and applications (2010)
  19. Zheng, Xiaojin; Sun, Xiaoling; Li, Duan; Xia, Yong: Duality gap estimation of linear equality constrained binary quadratic programming (2010)
  20. Gokbayrak, Kagan; Selvi, Omer: A subgradient descent algorithm for optimization of initially controllable flow shop systems (2009)

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