
Adam
 Referenced in 400 articles
[sw22205]
 Adam, an algorithm for firstorder gradientbased optimization of stochastic objective functions, based...

DOT
 Referenced in 62 articles
[sw14223]
 Tools. DOT is a generalpurpose gradientbased optimization software library that can be used...

Autograd
 Referenced in 20 articles
[sw22077]
 main intended application of Autograd is gradientbased optimization. For more information, check...

AdaGrad
 Referenced in 119 articles
[sw22202]
 subgradient methods for online learning and stochastic optimization. We present a new family of subgradient ... earlier iterations to perform more informative gradientbased learning. Metaphorically, the adaptation allows ... paradigm stems from recent advances in stochastic optimization and online learning which employ proximal functions...

SGDR
 Referenced in 10 articles
[sw30752]
 restarts are also gaining popularity in gradientbased optimization to improve the rate of convergence...

SHARK
 Referenced in 15 articles
[sw13542]
 single and multiobjective optimization (e.g., evolutionary and gradientbased algorithms) as well as kernel...

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

optimParallel
 Referenced in 3 articles
[sw24224]
 package optimParallel: Parallel Versions of the GradientBased optim() Methods. Provides parallel versions ... gradientbased optim() methods. The main function of the package is optimParallel(), which...

LDGB
 Referenced in 37 articles
[sw07134]
 largescale nonsmooth optimization Many practical optimization problems involve nonsmooth (that is, not necessarily differentiable ... problems the direct application of smooth gradientbased methods may lead to a failure ... hand, none of the current general nonsmooth optimization methods is efficient in largescale settings...

GRANSO
 Referenced in 17 articles
[sw38500]
 GRANSO: GRadientbased Algorithm for NonSmooth Optimization. GRANSO is an optimization package implemented...

scikitoptimize
 Referenced in 2 articles
[sw37048]
 implements several methods for sequential modelbased optimization. skopt aims to be accessible and easy ... ScikitLearn. We do not perform gradientbased optimization. For gradientbased optimization algorithms look...

Krotov
 Referenced in 3 articles
[sw32294]
 Krotov’s method compares to other gradientbased optimization methods such as gradientascent...

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 gradientbased optimization. The result is a portable and efficient...

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

Algorithm 1008
 Referenced in 1 article
[sw35943]
 step method for, among other applications, gradientbased optimization and optimum control problems. The algebra...

Evolino
 Referenced in 18 articles
[sw36450]
 Evolino: hybrid neuroevolution / optimal linear search for sequence learning. Current Neural Network learning algorithms ... linear dynamical systems. Most supervised gradientbased recurrent neural networks (RNNs) suffer from a vanishing ... linear regression or quadratic programming to compute optimal linear mappings from hidden state to output...

FarHO
 Referenced in 1 article
[sw25680]
 Bilevel Programming Package for Hyperparameter Optimization and MetaLearning. In (Franceschi ... bilevel programming, that encompasses gradientbased hyperparameter optimization and metalearning. We formulated an approximate...

PyFLOSIC
 Referenced in 1 article
[sw33445]
 selfinteraction correction (FLOSIC), which is based on the Python simulation of chemistry frame ... within the local density approximation (LDA), generalizedgradient approximation (GGA), and metaGGA provided ... initialized automatically within PyFLOSIC and optimized with an interface to the atomic simulation environment ... variety of powerful gradientbased algorithms for geometry optimization. Although PyFLOSIC has already facilitated applications...

pyOptSparse
 Referenced in 2 articles
[sw37949]
 used in pyOptSparse, including both gradientbased and gradientfree methods. A visualization tool called ... comes packaged with pyOptSparse, which shows the optimization history through an interactive...

RSPLINE
 Referenced in 12 articles
[sw29802]
 interpolation and neighborhood enumeration. We consider simulationoptimization (SO) models where the decision variables ... among the first few gradientbased search algorithms tailored for solving integerordered local...