• Adam

  • Referenced in 260 articles [sw22205]
  • Adam, an algorithm for first-order gradient-based optimization of stochastic objective functions, based...
  • DOT

  • Referenced in 61 articles [sw14223]
  • Tools. DOT is a general-purpose gradient-based optimization software library that can be used...
  • Autograd

  • Referenced in 16 articles [sw22077]
  • main intended application of Autograd is gradient-based optimization. For more information, check...
  • AdaGrad

  • Referenced in 89 articles [sw22202]
  • subgradient methods for online learning and stochastic optimization. We present a new family of subgradient ... earlier iterations to perform more informative gradient-based learning. Metaphorically, the adaptation allows ... paradigm stems from recent advances in stochastic optimization and online learning which employ proximal functions...
  • SGDR

  • Referenced in 6 articles [sw30752]
  • restarts are also gaining popularity in gradient-based optimization to improve the rate of convergence...
  • SHARK

  • Referenced in 15 articles [sw13542]
  • single- and multi-objective optimization (e.g., evolutionary and gradient-based algorithms) as well as kernel...
  • GROW

  • Referenced in 3 articles [sw18662]
  • GROW: a gradient-based optimization workflow for the automated development of molecular. The concept, issues ... implementation and file formats of the GRadient-based Optimization Workflow for the Automated Development ... atomistic molecular simulations by an iterative, gradient-based optimization workflow. The modularly constructed tool consists...
  • LDGB

  • Referenced in 34 articles [sw07134]
  • large-scale nonsmooth optimization Many practical optimization problems involve nonsmooth (that is, not necessarily differentiable ... problems the direct application of smooth gradient-based methods may lead to a failure ... hand, none of the current general nonsmooth optimization methods is efficient in large-scale settings...
  • optimParallel

  • Referenced in 2 articles [sw24224]
  • package optimParallel: Parallel Versions of the Gradient-Based optim() Methods. Provides parallel versions ... gradient-based optim() methods. The main function of the package is optimParallel(), which...
  • AESOP

  • Referenced in 3 articles [sw02849]
  • aerodynamic shape optimization. Aerodynamic shape optimization based on Computational Fluid Dynamics can automatically improve ... shape parameterization and algorithms for gradient-based optimization. The result is a portable and efficient...
  • Krotov

  • Referenced in 2 articles [sw32294]
  • Krotov’s method compares to other gradient-based optimization methods such as gradient-ascent...
  • DOSI

  • Referenced in 2 articles [sw27054]
  • with local credit assignment. A novel swarm-based algorithm is proposed for the training ... search algorithm to find optimal weight values. While gradient-based methods, such as backpropagation ... yield a globally optimal solution. To overcome the limitations of gradient-based methods, evolutionary algorithms...
  • Algorithm 1008

  • Referenced in 1 article [sw35943]
  • step method for, among other applications, gradient-based optimization and optimum control problems. The algebra...
  • Far-HO

  • Referenced in 1 article [sw25680]
  • Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning. In (Franceschi ... bilevel programming, that encompasses gradient-based hyperparameter optimization and meta-learning. We formulated an approximate...
  • PyFLOSIC

  • Referenced in 1 article [sw33445]
  • self-interaction correction (FLO-SIC), which is based on the Python simulation of chemistry frame ... within the local density approximation (LDA), generalized-gradient approximation (GGA), and meta-GGA provided ... initialized automatically within PyFLOSIC and optimized with an interface to the atomic simulation environment ... variety of powerful gradient-based algorithms for geometry optimization. Although PyFLOSIC has already facilitated applications...
  • R-SPLINE

  • Referenced in 7 articles [sw29802]
  • interpolation and neighborhood enumeration. We consider simulation-optimization (SO) models where the decision variables ... among the first few gradient-based search algorithms tailored for solving integer-ordered local...
  • NeST

  • Referenced in 1 article [sw31716]
  • NeST: a neural network synthesis tool based on a grow-and-prune paradigm. Deep neural ... learning. However, the problem of finding an optimal DNN architecture for large applications is challenging ... iteratively tunes the architecture with gradient-based growth and magnitude-based pruning of neurons...
  • pFOSM

  • Referenced in 1 article [sw27927]
  • minimizing it with a gradient-based approach leads to the need of computing ... direct differentiation. This makes the cost per gradient computation independent of the numbers of both ... method is demonstrated through the constrained shape optimization of an isolated 2D airfoil under uncertain...
  • ADOL-C

  • Referenced in 230 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...
  • ANSYS

  • Referenced in 654 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...