To address this need, a relatively large but easy-to-use collection of test functions was produced and guidelines for testing the reliability and robustness of unconstrained optimization software were designed. 9 tables. (ERA citation 04:002120)More, J. J...
NIM Gould,D Orban,PL Toint - 《Acm Transactions on Mathematical Software》 被引量: 1878发表: 2003年 CUTEst: a Constrained and Unconstrained Testing Environment with safe threads for mathematical optimization We describe the most recent evolution of our constrained and unconstrained testing environment ...
funconstrainis a pure R implementation of the 35 test functions in the paper byMoré, Garbow, and Hillstromuseful (to varying degrees) for testing unconstrained numerical optimization methods, e.g. those implementing the likes of steepest descent, Newton, BFGS, L-BFGS, conjugate gradient and so...
J. More. They are a powerful standard tool, within the optimization community, to assess the performance of optimization software. problems + algorithms = experiments A problem is a function f where f: R(n) -> R with n called dimension. f = f1() - f2() difference of convex function ...
problemformatandthegenerationoffilessuitedtoautomaticdifferentiationpackages. Keywords.Nonlinearconstrainedoptimization,testingenvironment,shared filesystems,heterogeneousenvironment,SIFformat 1.Introduction TheCUTEtestingenvironmentforoptimizationsoftwareandtheassociated testproblemcollectionoriginatedfromtheneedtoperform...
If unconstrained by obstacles, an efficient way to reposition and reorient a car is to turn in an arc, using maximum steering angle, towards the new position while making room for the turning arc necessary to also establish correct orientation at the target position. Figure 9 illustrates this ...
CUTE: constrained and unconstrained testing environment The purpose of this article is to discuss the scope and functionality of a versatile environment for testing small- and large-scale nonlinear optimization ... I Bongartz,AR Conn,N Gould,... - 《Acm Transactions on Mathematical Software》 被...
Topographical global optimizationQuasi-Newton methodUnconstrained optimizationMultistart methodIn general, classical iterative algorithms for optimization, such as Newton-type methods, perform only local search around a given starting point. Such feature is an impediment to the direct use of th...
Ni, "Testing different conjugate gradient methods for large-scale unconstrained optimization," Journal of Computational Mathematics, vol. 21, no. 3, pp. 311-320, 2003.Y.H. Dai and Q. Ni, Testing different conjugate gradient methods for large-scale unconstrained optimization, J. Comput. Math.,...
Ni, Testing different conjugate gradient methods for large-scale uncon- strained optimization, J. Comput. Math. 22 (2003) 311-320.Dai, Y.H. and Ni, Q. (2003), Testing different conjugate gradient methods for large-scale unconstrained optimization, J. Comput. Math., 21, 2003, pp. 311- ...