CVX

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 632 articles , 1 standard article )

Showing results 481 to 500 of 632.
Sorted by year (citations)

previous 1 2 3 ... 23 24 25 26 27 ... 30 31 32 next

  1. Ren, Wen; Xu, Bugong: Distributed wireless networked (H_\infty) control for a class of Lurie-type nonlinear systems (2014)
  2. Roger Koenker and Ivan Mizera: Convex Optimization in R (2014) not zbMATH
  3. Shen, Fumin; Shen, Chunhua; Hill, Rhys; van den Hengel, Anton; Tang, Zhenmin: Fast approximate (L_\infty) minimization: speeding up robust regression (2014)
  4. Skjäl, Anders; Westerlund, Tapio: New methods for calculating (\alpha)BB-type underestimators (2014)
  5. Song, Bongsob; Hedrick, J. Karl; Kang, Yeonsik: Dynamic surface control and its application to lateral vehicle control (2014)
  6. Tan, Ken Seng; Weng, Chengguo: Empirical approach for optimal reinsurance design (2014)
  7. Thomas, Doreen A.; Weng, Jia F.: Euclidean Steiner trees optimal with respect to swapping 4-point subtrees (2014)
  8. Xia, Yong: On local convexity of quadratic transformations (2014)
  9. Xia, Yong; Han, Ying-Wei: Partial Lagrangian relaxation for the unbalanced orthogonal Procrustes problem (2014)
  10. Xia, Yu; McNicholas, Paul D.: A gradient method for the monotone fused least absolute shrinkage and selection operator (2014)
  11. Yen, Yu-Min; Yen, Tso-Jung: Solving norm constrained portfolio optimization via coordinate-wise descent algorithms (2014)
  12. Zhang, Weihong; Deng, Jiansong; Yang, Zhouwang; Liu, Ligang: Parametric curve with an implicit domain (2014)
  13. Zhao, Weihua; Go, Tiauw Hiong: Quadcopter formation flight control combining MPC and robust feedback linearization (2014)
  14. Zheng, Xiaojin; Sun, Xiaoling; Li, Duan: Improving the performance of MIQP solvers for quadratic programs with cardinality and minimum threshold constraints: a semidefinite program approach (2014)
  15. Zhu, Wei; Shu, Shi; Cheng, Li-zhi: Proximity point algorithm for low-rank matrix recovery from sparse noise corrupted data (2014)
  16. Ahmadi, Amir Ali; Olshevsky, Alex; Parrilo, Pablo A.; Tsitsiklis, John N.: NP-hardness of deciding convexity of quartic polynomials and related problems (2013)
  17. Björnson, Emil; Jorswieck, Eduard: Optimal resource allocation in coordinated multi-cell systems (2013)
  18. Breitenreicher, Dirk; Lellmann, Jan; Schnörr, Christoph: COAL: a generic modelling and prototyping framework for convex optimization problems of variational image analysis (2013)
  19. Candès, Emmanuel J.; Fernandez-Granda, Carlos: Super-resolution from noisy data (2013)
  20. Chen, Xin; Peng, Jiming; Zhang, Shuzhong: Sparse solutions to random standard quadratic optimization problems (2013)

previous 1 2 3 ... 23 24 25 26 27 ... 30 31 32 next