• XFEM

  • Referenced in 196 articles [sw01026]
  • paradigm, we present 2D linear elastic fracture mechanics for hundreds of cracks with local near...
  • glmnet

  • Referenced in 133 articles [sw08159]
  • glmnet: Lasso and elastic-net regularized generalized linear models. Extremely efficient procedures for fitting ... entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models...
  • FEAP

  • Referenced in 99 articles [sw04963]
  • joint interactions. Constitutive models include linear and finite elasticity, viscoelasticity with damage, and elasto-plasticity...
  • ML

  • Referenced in 79 articles [sw08067]
  • with heat and mass transfer, linear and nonlinear elasticity equations, the Maxwell equations, semiconductor equations...
  • Nike2D

  • Referenced in 55 articles [sw12115]
  • soil and crushable foam, thermo-elastic-plastic, and linear viscoelastic material models are implemented. Nearly ... behavior that arises in plasticity problems and elasticity problems with Poisson’s ratio approaching...
  • BDDC

  • Referenced in 10 articles [sw07232]
  • applied to an engineering problem of linear elasticity and a benchmark problem of Stokes flow...
  • LFA

  • Referenced in 27 articles [sw19092]
  • Oseen and Stokes equations, a linear shell problem and elasticity systems. The book enables understanding...
  • covTest

  • Referenced in 11 articles [sw19129]
  • used with LARS (lasso) for linear models, elastic net, binomial and Cox survival model...
  • Fastflo

  • Referenced in 3 articles [sw12889]
  • well known (such as fluid flow, linear elasticity, heat conduction, electromagnetism, eigenvalue problems...
  • PERMON

  • Referenced in 2 articles [sw16719]
  • libraries. We focus on engineering applications (linear elasticity, contact problems, elasto-plasticity, shape optimization...
  • PROCRACK

  • Referenced in 2 articles [sw09488]
  • propagation are controlled by concepts of linear elastic fracture mechanics. The fracture mechanical parameters...
  • HPDDM

  • Referenced in 2 articles [sw15717]
  • scalar diffusion equations, the system of linear elasticity, but also frequency domain problems like...
  • VEROAD

  • Referenced in 1 article [sw08936]
  • derivation apply equally to conventional linear elastic programs. The practical consequences of the viscous material...
  • NCLab

  • Referenced in 1 article [sw12880]
  • second-order linear partial differential equations, linear elasticity problems, and electrostatics problems...
  • blasso

  • Referenced in 6 articles [sw06769]
  • prior The elastic net procedure is a form of regularized optimization for linear regression that ... distribution implied by the form of the elastic net penalty. This article broadens the scope ... class of prior distributions that generate the elastic net estimate as the posterior mode ... which is shown to be conjugate for linear regression models, and an alternate representation...
  • Modulef

  • Referenced in 16 articles [sw01072]
  • thermal analysis and about 61 elements for elasticity for isotropic and anisotropic materials ... magnetism and 2 elements for piezoelectric materials. Linear systems can be solved using direct...
  • spikeslab

  • Referenced in 4 articles [sw14503]
  • variable selection in linear regression models. Uses a generalized elastic net for variable selection...
  • ParaSails

  • Referenced in 19 articles [sw11521]
  • iterative solution of large, sparse systems of linear equations. It is a self-contained module ... been used to solve finite element elasticity problems inside an LLNL simulation code with more ... different matrices in a sequence of linear solves. ParaSails solves symmetric positive definite (SPD) problems...
  • CRYSTAL09

  • Referenced in 4 articles [sw08388]
  • basis of a linear combination of atomic orbitals, the elastic and the thermodynamic Gruneisen parameters...
  • EBglmnet

  • Referenced in 0 articles [sw15564]
  • Empirical Bayesian Lasso and Elastic Net Methods for Generalized Linear Models. Provides empirical Bayesian lasso ... elastic net algorithms for variable selection and effect estimation. Key features include sparse variable selection ... effect estimation via generalized linear regression models, high dimensionality with p>>n, and significance test ... other popular methods such as lasso and elastic net methods in terms of power...