• FEniCS

  • Referenced in 840 articles [sw04314]
  • solution of differential equations by finite element methods. FEniCS has an extensive list of features ... equations, including automated solution of variational problems, automated error control and adaptivity, a comprehensive library...
  • Eigenstrat

  • Referenced in 56 articles [sw33845]
  • method uses principal components analysis to explicitly model ancestry differences between cases and controls along ... continuous axes of variation; the resulting correction is specific to a candidate marker’s variation...
  • COBRA

  • Referenced in 26 articles [sw02211]
  • three-dimensional magnetic configurations of interest to controlled thermonuclear fusion is described. The code ... matrix method. In COBRA, this approximate eigenvalue is further refined using a variational principle...
  • OPECgen

  • Referenced in 20 articles [sw13463]
  • constraints are given by a parametric affine variational inequality or one of its specialisations ... written in MATLAB, allows the user to control different properties of the QPEC ... properties may substantially effect efficiency of existing methods for MPEC, and illustrate this numerically...
  • BACOL

  • Referenced in 8 articles [sw00064]
  • variation. A novel feature of this package is that it employs high order, adaptive methods ... both time and space, controlling and balancing both spatial and temporal error estimates. The software...
  • PMTBR

  • Referenced in 19 articles [sw02086]
  • error estimation and order control procedures. By tailoring the method to take into account ... accuracy, on problems for which many other methods struggle. Examples are shown to illustrate ... presence of parameter change due to process variation...
  • SALBPGen

  • Referenced in 24 articles [sw14513]
  • variety of real-world problem variations and elaborate solution methods were developed and presented ... instances with very diverse structures under full control of the experiment’s designer. In particular...
  • PARAFAC

  • Referenced in 24 articles [sw14789]
  • show adequately distinct patterns of three-way variation, the model is fully identified; the orientation ... method we analyze data from an experiment on right vs. left cerebral hemispheric control...
  • VarNet

  • Referenced in 9 articles [sw42184]
  • propose a new model-based unsupervised learning method, called VarNet, for the solution of partial ... novel loss function that relies on the variational (integral) form of PDEs as apposed ... differentiable and can directly be used for control and optimization of PDEs. Finally, VarNet ... PDEs. We demonstrate the performance of our method through extensive numerical experiments for the advection...
  • GSVA

  • Referenced in 4 articles [sw17293]
  • molecular profiling experiments move beyond simple case-control studies, robust and flexible GSE methodologies ... introduce Gene Set Variation Analysis (GSVA), a GSE method that estimates variation of pathway activity...
  • GenoSNP

  • Referenced in 4 articles [sw34351]
  • GenoSNP: a variational Bayes within-sample SNP genotyping algorithm that does not require a reference ... availability of a large number of control samples that have been sampled on the same ... require the need for a population of control samples nor parameters derived from such ... algorithm exhibits high concordance with current methods and >99% call accuracy on HapMap samples...
  • GrainScan

  • Referenced in 1 article [sw37072]
  • GrainScan: a low cost, fast method for grain size and colour measurements. Background: Measuring grain ... cereal breeding and research into genetic control of seed development. Measures such as thousand grain ... give an indication of variation within a sample. Other methods exist for detailed analysis...
  • Shoot

  • Referenced in 1 article [sw08661]
  • shooting method for optimal control problems. It is specifically designed to handle control discontinuities, with ... variational system instead of classical finite differences. The package also features an embedded continuation method...
  • HapMix

  • Referenced in 6 articles [sw33847]
  • fine-scale variation data. We show that HAPMIX outperforms other methods, and we explore ... inferring dates of admixture. We validate the method empirically by applying it to populations that ... local ancestry permit admixture and case-control association signals to be combined, enabling more powerful...
  • LSMonteCarlo

  • Referenced in 1 article [sw36182]
  • options with Least Squares Monte Carlo method. The option types are plain vanilla American ... variance reduction techniques such as Antithetic Variates and Control Variates. Additional functions are given...
  • YAO

  • Referenced in 1 article [sw19683]
  • assimilation using numerical models. Variational data assimilation consists in estimating control parameters of a numerical ... some actual observations. The gradient based minimization methods require the multiplication of the transpose jacobian...
  • FAME

  • Referenced in 1 article [sw35158]
  • operators: FAME. We propose a new method for multi-objective optimization, called Fuzzy Adaptive Multi ... smart operator controller that dynamically chooses the most promising variation operator to apply...
  • JPAC

  • Referenced in 1 article [sw19151]
  • based access control. Access control is based on a variation of a ticket-based authorization ... used to analyze JPAC’s secure method invocation protocol. Programmable security architectures and cryptographic protocol...
  • GBOOST

  • Referenced in 2 articles [sw25801]
  • genome-wide case control studies. Collecting millions of genetic variations is feasible with the advanced ... technology. With a huge amount of genetic variations data in hand, developing efficient algorithms ... gene interactions. RESULTS: We implement the BOOST method based on a GPU framework and name ... completes the analysis of Wellcome Trust Case Control Consortium Type 2 Diabetes (WTCCC T2D) genome...
  • PASTA

  • Referenced in 2 articles [sw02145]
  • analysis, yield optimization and design centring, the variations and correlations of the device model parameters ... fundamental significance. This paper describes a method for the complete characterization of the inherent fluctuations ... information about fabrication statistics, e.g. process control monitor measurements. A new approach with connection coefficients ... connection hierarchy. With the presented approach the variations and correlations of model parameters for simulation...