• AdaGrad

  • Referenced in 157 articles [sw22202]
  • ADAGRAD: adaptive gradient algorithm; Adaptive subgradient methods for online learning and stochastic optimization. We present ... family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed ... theoretical analysis and show that adaptive subgradient methods outperform state...
  • PESTO

  • Referenced in 34 articles [sw20864]
  • broad class of oracle-based first-order methods for composite convex optimization, including those performing ... fast proximal gradient, conditional gradient, subgradient and alternating projection methods. In particular, we present...
  • NOA

  • Referenced in 14 articles [sw08659]
  • package implements several descent methods that accumulate subgradients of the problem functions and use quadratic...
  • DSP

  • Referenced in 11 articles [sw05421]
  • method and a dual decomposition method based on subgradient dual updates that...
  • ralgb4

  • Referenced in 4 articles [sw22652]
  • Subgradient methods ralgb5 and ralgb4 for minimization of ravine-like convex functions. We consider properties...
  • ralgb5

  • Referenced in 4 articles [sw22653]
  • Subgradient methods ralgb5 and ralgb4 for minimization of ravine-like convex functions. We consider properties...
  • DGM

  • Referenced in 44 articles [sw06159]
  • Fortran implementation of the discrete gradient method for derivative free optimization. To apply ... value of the objective function. The subgradient will be approximated. The software is free...
  • amodMC

  • Referenced in 6 articles [sw06614]
  • Adjoint mode computation of subgradients for McCormick relaxations In [{it A. Mitsos}, {it B. Chachuat ... method similar to Algorithmic Differentiation (AD) is presented which allows the propagation of, in general ... Subgradients are natural extensions of “usual” derivatives which allow the application of derivative-based methods ... this article an adjoint method for the computation of subgradients for McCormick relaxations is presented...
  • QSM

  • Referenced in 20 articles [sw06161]
  • Fortran implementation of the quasi-secant method for nonsmooth possibly nonconvex minimization. The user ... employ either analytically calculated or approximated subgradients in his experiments (this can be done automatically...
  • DIP

  • Referenced in 20 articles [sw09870]
  • decomposition, Lagrangian relaxation, and various cutting plane methods. Given a compact formulation and a relaxation ... price, branch and cut and price, subgradient-based Lagrangian relaxation, branch and relax ... user can specify customizations, such as methods for generating valid inequalities and branching, in terms...
  • PL-ranking

  • Referenced in 2 articles [sw28415]
  • Modal Retrieval. This paper proposes a novel method for cross-modal retrieval named Pairwise-Listwise ... design an efficient low-rank stochastic subgradient descent method to solve the proposed optimization problem...
  • LSA

  • Referenced in 5 articles [sw22887]
  • based on modifications of the discrete Newton method. Subroutines PSED and PSEC, intended for partially ... metric updates and on an aggregation of subgradients. Subroutines PGAD and PGAC, intended for sparse ... modifications and corrections of the Gauss-Newton method. Subroutine PMAX, intended for minimization...
  • MIQCR-CB

  • Referenced in 6 articles [sw21604]
  • advancement of MIQCR. MIQCR is a method for solving mixed-integer quadratic programs and works ... difficulty, we present in MIQCR-CB a subgradient algorithm within a Lagrangian duality framework ... obtained by the original MIQCR method, which results in a shorter time for solving...
  • SiMpLIfy

  • Referenced in 1 article [sw26665]
  • MATLAB. In addition to structured model reduction methods using balanced realizations of the subsystems ... algorithm for structured model reduction using a subgradient optimization algorithm. We briefly present the syntax ... demonstrate the applicability of various model reduction methods in the toolbox on a structured mass...
  • csg

  • Referenced in 1 article [sw36363]
  • This paper describes a new efficient conjugate subgradient algorithm which minimizes a convex function containing ... absolute value regularization term. This method is successfully applied to the inversion of ill-conditioned...
  • BARON

  • Referenced in 354 articles [sw00066]
  • BARON is a computational system for solving nonconvex...
  • CSDP

  • Referenced in 202 articles [sw00169]
  • CSDP, A C Library for Semidefinite Programming. This...
  • EIGIFP

  • Referenced in 46 articles [sw00235]
  • eigifp is a MATLAB program for computing a...