• DCCP

  • Referenced in 3 articles [sw14722]
  • concave term. DCP is a structured way to define convex optimization problems, based...
  • BUQO

  • Referenced in 4 articles [sw34653]
  • quantification in imaging inverse problems via convex optimization. We propose a Bayesian uncertainty quantification method ... concave, where maximum a posteriori (MAP) estimation is a convex optimization problem. The method...
  • MeddeR

  • Referenced in 1 article [sw27875]
  • concave probability density is formulated as a convex optimization problem and shown to have ... maximum Renyi entropy estimators that impose weaker concavity restrictions on the fitted density are also...
  • sns

  • Referenced in 4 articles [sw17406]
  • Monte Carlo sampler for twice differentiable, log-concave probability density functions (PDFs) where the proposal ... switching from SNS to Newton-Raphson optimization (by choosing the mean of proposal function ... which is unique due to concavity). For high-dimensional densities, mixing can be improved...
  • NLCertify

  • Referenced in 4 articles [sw08786]
  • multivariate functions. The tool exploits sparse semialgebraic optimization techniques with approximation methods for transcendental functions ... approach builds lower (resp. upper) estimators using concave maxima (resp. convex infima) of quadratic forms ... syntax tree t. These various approximation and optimization algorithms are placed in a unified framework...
  • PPROJ

  • Referenced in 9 articles [sw21258]
  • SpaRSA that does not require the strong concavity of the dual to the projection problem ... open source software package IPOPT for nonlinear optimization, and to the commercial package CPLEX, which...
  • amodMC

  • Referenced in 6 articles [sw06614]
  • Barton}, SIAM J. Optim. 20, No. 2, 573--601 (2009; Zbl 1192.65083)], a method similar ... based methods to possibly nondifferentiable convex and concave functions. The software package libMC [Mitsos ... subgradients are used in a deterministic global optimization algorithm based on a branch-and-bound...
  • MetaGrad

  • Referenced in 1 article [sw40373]
  • adaptive method for online convex optimization, MetaGrad, that is robust to general convex losses ... broad class of special functions, including exp-concave and strongly convex functions, but also various...
  • L2CXCV

  • Referenced in 2 articles [sw26952]
  • sign change is also unknown of the optimization problem. A highly useful description ... convex on the first set and concave on the other one. The partition into suitable...
  • APriD

  • Referenced in 1 article [sw42397]
  • this paper, we consider convex stochastic optimization problems with expectation constraints. For these problems ... modify the proposed method to solve convex-concave stochastic minimax problems, for which we perform...
  • BARON

  • Referenced in 361 articles [sw00066]
  • BARON is a computational system for solving nonconvex...
  • cdd

  • Referenced in 119 articles [sw00114]
  • The program cdd+ (cdd, respectively) is a C...
  • CGAL

  • Referenced in 402 articles [sw00118]
  • The goal of the CGAL Open Source Project...
  • C-XSC 2.0

  • Referenced in 127 articles [sw00182]
  • A C++ class library for extended scientific computing...
  • DEA

  • Referenced in 246 articles [sw00194]
  • Data Envelopment Analysis (DEA) is becoming an increasingly...
  • GLOB

  • Referenced in 40 articles [sw00357]
  • GLOB -- a new VNS-based software for global...
  • GLOPT

  • Referenced in 19 articles [sw00359]
  • GLOPT is a Fortran 77 program for global...
  • gmp

  • Referenced in 289 articles [sw00363]
  • GMP is a free library for arbitrary precision...
  • Gmsh

  • Referenced in 783 articles [sw00366]
  • Gmsh is a 3D finite element grid generator...