• CVX

  • Referenced in 794 articles [sw04594]
  • much more complex convex optimization problems, including many involving nondifferentiable functions, such as ℓ1 norms...
  • PNEW

  • Referenced in 75 articles [sw06157]
  • Algorithm 811: NDA: algorithms for nondifferentiable optimization We present four basic Fortran subroutines for nondifferentiable...
  • NIMBUS

  • Referenced in 63 articles [sw04339]
  • NIMBUS, an interactive method for nondifferentiable multiobjective optimization problems, is described. The algorithm is based ... According to the classification, a new (multiobjective) optimization problem is formed, which is solved ... proximal bundle approach for nondifferentiable single objective optimization into the multiobjective case. The multiple objective ... continuous objective functions subject to nonlinear (possibly nondifferentiable) constraints. Finally, numerical experiments with two academic...
  • NDA

  • Referenced in 14 articles [sw04663]
  • Algorithm 811: NDA: algorithms for nondifferentiable optimization. We present four basic Fortran subroutines for nondifferentiable...
  • NOA

  • Referenced in 14 articles [sw08659]
  • design of a system of nondifferentiable optimization algorithms. This paper describes NOA, a package...
  • DISPRO

  • Referenced in 7 articles [sw14791]
  • optimization and approximation [61]; NDO, nondifferentiable and stochastic optimization [62]; and other less known packages...
  • iPiano

  • Referenced in 53 articles [sw09623]
  • iPiano: inertial proximal algorithm for nonconvex optimization. In this paper we study an algorithm ... differentiable (possibly nonconvex) and a convex (possibly nondifferentiable) function. The algorithm iPiano combines forward-backward...
  • MPBNGC

  • Referenced in 21 articles [sw11891]
  • Multiobjective proximal bundle method for nonconvex nonsmooth optimization: Fortran subroutine MPBNGC 2.0. MPBNGC ... multiobjective proximal bundle method for nonconvex, nonsmooth (nondifferentiable) and generally constrained minimization. The software...
  • NESVM

  • Referenced in 6 articles [sw08753]
  • primal SVM), NESVM achieves the optimal convergence rate at O(1/k2) and a linear time ... nondifferentiable hinge loss and ℓ1-norm in the primal SVM. Then the optimal gradient method...
  • LiPsMin

  • Referenced in 3 articles [sw26236]
  • smooth functions: a case study for robust optimization. This paper presents a minimization method ... that all nondifferentiabilities are caused by abs(), min(), and max(). The optimization method generates successively...
  • libcgrpp

  • Referenced in 2 articles [sw07205]
  • procedure (C-GRASP) for bound constrained global optimization. C-GRASP is an extension ... solve unstable and nondifferentiable problems, as well as hard global optimization problems, such as chemical...
  • ZOOjl

  • Referenced in 1 article [sw22397]
  • space. It is suitable for optimizing functions that are nondifferentiable, with many local minima...
  • amodMC

  • Referenced in 5 articles [sw06614]
  • Barton}, SIAM J. Optim. 20, No. 2, 573--601 (2009; Zbl 1192.65083)], a method similar ... which allows the propagation of, in general nondifferentiable, McCormick relaxations ... application of derivative-based methods to possibly nondifferentiable convex and concave functions. The software package ... subgradients are used in a deterministic global optimization algorithm based on a branch-and-bound...
  • DISNEL

  • Referenced in 5 articles [sw00207]
  • packages of the same family: DISPRO (discrete optimization) and PLANER (nonlinear programming).\parIn addition ... third author [Minimization methods for nondifferentiable functions and their applications (1979; Zbl. 524.49002)]. Among special...
  • DCCP

  • Referenced in 3 articles [sw14722]
  • structured way to define convex optimization problems, based on a family of basic convex ... functions, and the issue of nondifferentiability on the boundary of the domains. We describe...
  • StoDCuP

  • Referenced in 2 articles [sw39816]
  • SDDP) algorithm to solve multistage stochastic convex optimization problems. At each iteration, the algorithm builds ... errors. Finally, numerical experiments are presented on nondifferentiable multistage stochastic programs where Inexact StoDCuP computes...
  • ANSYS

  • Referenced in 685 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • KNITRO

  • Referenced in 191 articles [sw00490]
  • KNITRO is a solver for nonlinear optimization. It...
  • LANCELOT

  • Referenced in 304 articles [sw00500]
  • LANCELOT. A Fortran package for large-scale nonlinear...