• SURROGATES

  • Referenced in 14 articles [sw07575]
  • MATLAB library of multidimensional function approximation and optimization methods. The current version includes the following ... full factorial design, Latin hypercube design, D-optimal and maxmin designs. Surrogates: kriging, polynomial response...
  • Scilab

  • Referenced in 166 articles [sw00834]
  • operations and data analysis. 2-D & 3-D Visualization: Graphics functions to visualize, annotate ... customize various types of plots and charts. Optimization: Algorithms to solve constrained and unconstrained continuous...
  • Racer

  • Referenced in 65 articles [sw09837]
  • implements a highly optimized tableau calculus for the description logic SRIQ(D). Racer...
  • SDPNAL+

  • Referenced in 36 articles [sw13239]
  • Zhao et al. [SIAM J. Optim ... multipliers introduced recently by D. Sun et al. [SIAM J. Optim...
  • D-ADMM

  • Referenced in 16 articles [sw28440]
  • D-ADMM: a communication-efficient distributed algorithm for separable optimization. We propose a distributed algorithm ... Direction Method of Multipliers (D-ADMM), for solving separable optimization problems in networks of interconnected ... nodes or agents. In a separable optimization problem there is a private cost function ... intersection of all the constraint sets. D-ADMM is proven to converge when the network...
  • RM-MEDA

  • Referenced in 28 articles [sw08554]
  • continuous multiobjective optimization problem is a piecewise continuous (m - 1)-D manifold, where ... distribution algorithm (RM-MEDA) for continuous multiobjective optimization problems with variable linkages. At each generation ... distribution whose centroid is a (m - 1)-D piecewise continuous manifold. The local principal component...
  • iCTX-Type

  • Referenced in 21 articles [sw22440]
  • feature optimization procedure to reduce the sample representation from 400-D to 50-D vector...
  • CONDOR

  • Referenced in 23 articles [sw02490]
  • extension of M. J. D. Powell’s UOBYQA algorithm (Unconstrained Optimization BY Quadratical Approximation) [Math...
  • sdpt3r

  • Referenced in 5 articles [sw27792]
  • problem (Higham (2002) ), D-optimal experimental design (Smith (1918)
  • designv2

  • Referenced in 3 articles [sw27807]
  • involving log(potency) in comparative binary bioassays. Optimal designs are investigated for bioassays involving ... main interest. Local and Bayesian D-optimal designs are considered, as well ... D$_s$-optimal designs where the mean response of one substance (standard) is regarded...
  • AMIGO

  • Referenced in 10 articles [sw02425]
  • algorithm for solving smooth global optimization problems over n-dimensional boxes. It is mainly ... Martínez, I. García and Ya. D. Sergeyev [J. Glob. Optim...
  • iNuc-PhysChem

  • Referenced in 24 articles [sw22453]
  • D vector via the IFS (incremental feature selection) procedure to optimize the feature...
  • VTDIRECT95

  • Referenced in 10 articles [sw05290]
  • Fortran 95 implementation of D. R. Jones’ deterministic global optimization algorithm called DIRECT, which...
  • ICAOD

  • Referenced in 1 article [sw16271]
  • package ICAOD. Finding locally D-optimal, minimax D-optimal, standardized maximin D-optimal, optim...
  • NMOF

  • Referenced in 10 articles [sw11303]
  • book ’Numerical Methods and Optimization in Finance’ by M. Gilli, D. Maringer and E. Schumann...
  • DoE.wrapper

  • Referenced in 2 articles [sw24423]
  • from packages lhs and DiceDesign, and D-optimal designs from package AlgDesign have been implemented...
  • LDOD

  • Referenced in 1 article [sw20245]
  • package LDOD: Finding Locally D-optimal Designs for some Nonlinear and Generalized Linear Models. this ... package provides functions for Finding Locally D-optimal designs for Logistic, Negative Binomial, Poisson, Michaelis...
  • D2MOPSO

  • Referenced in 4 articles [sw09958]
  • Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance. D 2 MOPSO ... multi-objective particle swarm optimizer that incorporates the dominance concept with the decomposition approach. Whilst ... front. Results from 10 standard MOPs show D 2 MOPSO outperforms two state...
  • Pegasos

  • Referenced in 93 articles [sw08752]
  • gradient descent algorithm for solving the optimization problem cast by Support Vector Machines ... time of our method is O (d/(λϵ)) , where d is a bound...
  • MCELL

  • Referenced in 23 articles [sw06121]
  • cellular signaling in the complex 3-D subcellular microenvironment in and around living cells -- what ... stochastic behavior dominates. MCell uses highly optimized Monte Carlo algorithms to track the stochastic behavior ... enzymes, transporters) heterogeneously distributed within the 3-D geometry of the subcellular environment...