
CMAES
 Referenced in 102 articles
[sw05063]
 Evolution strategies (ES) are stochastic, derivativefree methods for numerical optimization of nonlinear ... generation based on their fitness or objective function value f(x). Like this, over ... values are generated. In an evolution strategy, new candidate solutions are sampled according...

rms
 Referenced in 85 articles
[sw04532]
 package rms: Regression Modeling Strategies , Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting ... functions that assist with and streamline modeling. It also contains functions for binary and ordinal ... maximum likelihood estimation for logistic and ordinary linear models. rms works with almost any regression...

CONLIN
 Referenced in 46 articles
[sw14151]
 based on convex approximation concepts. The Convex Linearization method (CONLIN) exhibits many interesting features ... first order, conservative approximations to the objective function and to the constraints. The primary optimization ... explicit subproblem generated by the CONLIN strategy. The maximum of the dual function is sought...

TENSOLVE
 Referenced in 28 articles
[sw00956]
 standard linear model. Moreover, the software provides two different global strategies: a line search approach ... mediumsized problems in iterations and function evaluations...

IBEX
 Referenced in 12 articles
[sw11947]
 provides reliable algorithms for handling nonlinear constraints. In particular, roundoff errors are also taken ... Ibex is its ability to build strategies declaratively through the contractor programming paradigm ... global minimizer of some function under nonlinear constraints is calculated with guaranteed bounds...

COBRA
 Referenced in 7 articles
[sw14858]
 regression strategy. A new method for combining several initial estimators of the regression function ... introduced. Instead of building a linear or convex optimized combination over a collection of basic...

MERLIN
 Referenced in 14 articles
[sw04248]
 instance we refer to systems of nonlinear equations, to variational methods, to curve fitting ... training of neural networks. Minimizing a multidimensional function faces a lot of difficulties. There ... been realized that one needs a strategy, combining different methods, to efficiently handle a wide...

HGTaR
 Referenced in 3 articles
[sw10708]
 advection equation for a level set function. The new method uses hierarchicalgradient truncation ... strategy reduces the original PDE to a set of decoupled linear ordinary differential equations with ... rigid body motion with a smooth function that possesses vanishingly small higher derivatives and calculates...

iMOLPe
 Referenced in 2 articles
[sw16193]
 package to deal with linear programming problems with multiple objective functions, which includes:  scalarizing processes ... constraints on objective function values;  distinct solution search strategies and visualization of results obtained with ... functions, 100 decision variables and 100 functional constraints. Supplementary material to the book ”Multiobjective Linear...

EVSL
 Referenced in 5 articles
[sw27222]
 independently. In order to enable such a strategy, the methods implemented in EVSL rely ... his/her own functions to perform matrixvector operations or to solve sparse linear systems...

CAMS
 Referenced in 10 articles
[sw18051]
 problems is not trivial. Therefore, several basis function formulations (incompressible and compressible, with and without ... updated adaptively. In addition to this, the linear system in the NewtonRaphson loop ... convergence behaviour. An efficient CAMS strategy for heterogeneous 3D compressible problems is developed based...

LemkeHowson
 Referenced in 1 article
[sw22505]
 sample mixed strategy Nash equilibrium in a bimatrix game. This function implements the LemkeHowson ... variant of the Lemke algorithm for linear complementarity problems (LCPs). function nashEqbm = LemkeHowson(varargin...

FWT2D
 Referenced in 5 articles
[sw08943]
 resolution of a large sparse system of linear equations which is performed with the massively ... parallel the gradient of the objective function and the diagonal Hessian, this latter providing ... algorithm allows one to test different strategies for multiscale frequency inversion ranging from successive mono...

DEPP
 Referenced in 1 article
[sw32434]
 solve nonlinear optimization problems of realvalued functions (objective functions) constrained to boxed domains ... codeinvasive, i.e., objective function is treated as a ”blackbox”, it is tolerant ... functions, it uses parallelization, that is particularly useful for handling computationally expensive objective functions ... that new differential evolution and/or hybridization strategies may be implemented more easily...

Z3str2
 Referenced in 2 articles
[sw30520]
 expression membership predicate, and linear arithmetic over the length function. We report on a series ... these tools utilizes a different solving strategy and/or string representation (based e.g. on words...

LargeExpressions
 Referenced in 1 article
[sw09217]
 Linear algebra using Maple’s LargeExpressions package. The package LargeExpressions has been available in MAPLE ... factoring of matrices. We describe a function that factors a matrix and expresses the results ... factoring, we introduce several strategies for pivoting, veiling an expression and zerorecognition...

SELP
 Referenced in 3 articles
[sw22586]
 known to be one of the nearlinear solutions which is easy to implement. However ... approach based on an Evidential Label Propagation strategy (SELP) is proposed to incorporate limited domain ... initially expressed in the form of mass functions. Then the evidential label propagation rule...

libSRES
 Referenced in 2 articles
[sw12828]
 library for stochastic ranking evolution strategy for parameter estimation. Summary: Estimation of kinetic parameters ... computer software for study of nonlinear biochemical pathways. This library implements ... program as a library function. We have extensively tested the performance of libSRES on various...

RecInt
 Referenced in 1 article
[sw32921]
 implemented recursively by a divide and conquer strategy. Among those, we show that this packages ... idea is to extend machine word functionality to any power ... been used for efficient exact linear algebra computations...

PROC ARIMA
 Referenced in 2 articles
[sw12094]
 response time series as a linear combination of its own past values, past errors (also ... Jenkins models. The general transfer function model employed by the ARIMA procedure was discussed ... analysis with ARMA errors; and rational transfer function models of any complexity. The design ... PROC ARIMA closely follows the BoxJenkins strategy for time series modeling with features...