• # DINDSCAL

• Referenced in 1 article [sw13360]
• solved by means of the projected gradient approach. First, the problem is transformed into ... gradient dynamical system on a product matrix manifold (of Stiefel sub-manifold of zero ... iterative algorithm based on the conjugate (projected) gradient method, which MATLAB implementation is enclosed...
• # PPCG_lrep

• Referenced in 2 articles [sw29678]
• projected preconditioned conjugate gradient method for the linear response eigenvalue problem. The linear response eigenvalue ... this paper, we propose a Projected Preconditioned Conjugate Gradient (PPCG_lrep) method to solve this...
• # CHFACT

• Referenced in 5 articles [sw30976]
• least one orthogonal projection of the objective function gradient onto the null space ... problem constraint matrix A. The orthogonal projection itself is in turn dominated by the inversion...
• # rstan

• Referenced in 28 articles [sw16103]
• provided by the ’StanHeaders’ package. The Stan project develops a probabilistic programming language that implements ... used to quickly and accurately evaluate gradients without burdening the user with the need...
• # Odyssee

• Referenced in 32 articles [sw12533]
• data assimilation requires the computation of the gradient of a cost function represented ... strategy used in the weather forecasting arpege/ifs project to produce the adjoint code from...
• # hgm R

• Referenced in 20 articles [sw08770]
• have such closed expressions. The holonomic gradient method, HGM in short, is a general method ... implementation for the polyhedral probability is a project in progress. We find an interesting interplay...
• # Vowpal Wabbit

• Referenced in 10 articles [sw28398]
• build an intrinsically fast learning algorithm. This project is about approach ... algorithms available with the baseline being sparse gradient descent (GD) on a loss function (several...
• # CARP-CG

• Referenced in 10 articles [sw00105]
• CARP-CG is a conjugate gradient (CG) acceleration of CARP, which was introduced ... linear systems. CARP performs Kaczmarz (KACZ) row projections within the blocks, and the results from...

• Referenced in 23 articles [sw25330]
• benchmarks from the SPE Comparative Solution Projects, as well as on a real-field model ... type preconditioning, sensitivities and adjoint-based gradients. Technically, MRST–AD combines three key features...
• # GPfit

• Referenced in 19 articles [sw14044]
• correlation function and a new multi-start gradient based optimization algorithm yield optimization that ... license, as part of the R software project (R Development Core Team...
• # NSIKE

• Referenced in 8 articles [sw11777]
• Stokes solver is based on Chorin’s projection method. with finite element discretization. The computation ... problem for pressure is solved using conjugate gradient technique. In the case of turbulent flow...
• # PASTIS-3D

• Referenced in 3 articles [sw02168]
• Navier-Stokes equations. It uses the implicit projection-2 algorithm, which is second order accurate ... data parallel variant of the conjugate gradient method and runs efficiently on parallel systems such...
• # RegressionFactory

• Referenced in 1 article [sw37249]
• package RegressionFactory: Expander Functions for Generating Full Gradient and Hessian from Single-Slot and Multi ... projection transformations of variables, described in authors’ paper, to generate the full, high-dimensional gradient...
• # E3SM

• Referenced in 5 articles [sw30702]
• Energy Exascale Earth System Model (E3SM) project. E3SM Version 1 is scheduled to be released ... improved convection and treatment of the pressure gradient term, and a formulation for elevation classes...
• # BoRiS

• Referenced in 3 articles [sw06562]
• equations. Different iterative solvers (Krylov subspace projection methods including matrix-free variants) and preconditioners ... Different schemes for interpolation of fluxes and gradients on scattered 3D data for general convection...
• # RIPPLE

• Referenced in 1 article [sw30642]
• surface force ( CSF) model. A two-step projection method is used for the incompressible fluid ... solutions, aided by an incomplete Cholesky conjugate gradient (ICCG) solution technique for the pressure Poisson...
• # EEBoost

• Referenced in 1 article [sw26353]
• modification of the standard boosting (or functional gradient descent) technique. We show that EEBoost ... class of $L_1$ constrained projected likelihood ratio minimizations, and therefore produces similar variable selection...