• levmar

  • Referenced in 58 articles [sw04809]
  • combination of steepest descent and the Gauss-Newton method. When the current solution ... algorithm behaves like a steepest descent method: slow, but guaranteed to converge. When the current...
  • topopt_multi

  • Referenced in 17 articles [sw25723]
  • Allen-Cahn system and regularized projected steepest descent method. A new computational algorithm is introduced ... functional by a fractional step projected steepest descent method. In the first step ... found based on the projected steepest descent method to ensure the reduction in the objective...
  • NSOIA

  • Referenced in 40 articles [sw36301]
  • Newton-Raphson algorithm and the method of steepest descents applied to minimize the function noted ... given algorithm compares favorable with other numerical methods for solving non-linear equations. .. The name...
  • TIGRA

  • Referenced in 40 articles [sw02333]
  • TIGRA (Tikhonov-gradient method) algorithm proposed uses steepest descent iterations in an inner loop ... discrepancy criterion in an outer loop. The method with given convergence rate results works...
  • GPFEM

  • Referenced in 3 articles [sw22222]
  • minimize the Gross–Pitaevskii energy: a steepest descent method based on Sobolev gradients...
  • FOPID

  • Referenced in 3 articles [sw20912]
  • optimization algorithm based on the steepest descent method is used. Simulation results show the benefit...
  • SEISCOPE

  • Referenced in 4 articles [sw19396]
  • routines, which implement first-order methods (steepest-descent and nonlinear conjugate gradient) and second-order...
  • etas_solve

  • Referenced in 2 articles [sw26918]
  • solve, which is based on the steepest descent method and calculates exact gradient and Hessian...
  • SearchFill

  • Referenced in 1 article [sw26745]
  • method works as a steepest descent optimization. Our method, with only two free parameters...
  • Levenberg-Marquardt

  • Referenced in 0 articles [sw05284]
  • algorithm for multivariate optimization. The Levenberg-Marquardt Method is recommended, if such a function ... algorithm combines advantages of the steepest descent method (that is, minimization along the direction ... gradient) with the Newton method (that is, using a quadratic model to speed ... obtained its operating stability from the steepest descent method, and adopted its accelerated convergence...
  • GOP

  • Referenced in 6 articles [sw17432]
  • method. The approach is presented and implemented for various particular core optimization algorithms: Steepest Descent ... alone and with two additional global optimization methods (Direct Tabu Search and Continuous Greedy Randomized...
  • PADMOS

  • Referenced in 3 articles [sw13393]
  • relevant algorithms from steepest descent and BFGS to Newton’s method. PADMOS itself uses trust...
  • SparseFIS

  • Referenced in 11 articles [sw13736]
  • extended by including rule weights. Our learning method consists of three phases: The first phase ... measure by applying a sparsity-constrained steepest descent-optimization procedure. Depending on the sparsity threshold ... each rule are (near) 0. The method is evaluated, which is based on high-dimensional...
  • ABCRATE

  • Referenced in 2 articles [sw00011]
  • calculated as the path of steepest descent from the collinear saddle point, which is called ... treated in curvilinear internal coordinates. The GTST methods include two versions of variational transition state...
  • CSDP

  • Referenced in 200 articles [sw00169]
  • CSDP, A C Library for Semidefinite Programming. This...
  • Expokit

  • Referenced in 180 articles [sw00258]
  • Expokit provides a set of routines aimed at...
  • HSL

  • Referenced in 274 articles [sw00418]
  • HSL (formerly the Harwell Subroutine Library) is a...
  • HURRY

  • Referenced in 27 articles [sw00420]
  • HURRY: An acceleration algorithm for scalar sequences and...
  • LANCELOT

  • Referenced in 302 articles [sw00500]
  • LANCELOT. A Fortran package for large-scale nonlinear...