Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
Introduction to applied numerical analysis
Introduction to applied numerical analysis
Algorithm 500: Minimization of Unconstrained Multivariate Functions [E4]
ACM Transactions on Mathematical Software (TOMS)
The Design and Structure of a Fortran Program Library for Optimization
ACM Transactions on Mathematical Software (TOMS)
Testing Unconstrained Optimization Software
ACM Transactions on Mathematical Software (TOMS)
An Adaptive Nonlinear Least-Squares Algorithm
ACM Transactions on Mathematical Software (TOMS)
Algorithm 611: Subroutines for Unconstrained Minimization Using a Model/Trust-Region Approach
ACM Transactions on Mathematical Software (TOMS)
Status of work toward revision of programming language Fortran
ACM SIGNUM Newsletter
A test for cancellation errors in quasi-Newton methods
ACM Transactions on Mathematical Software (TOMS)
Algorithm 738: a software package for unconstrained optimization using tensor methods
ACM Transactions on Mathematical Software (TOMS)
CUTE: constrained and unconstrained testing environment
ACM Transactions on Mathematical Software (TOMS)
ACM Transactions on Mathematical Software (TOMS)
Global Optimization For Molecular Clusters Using A New Smoothing Approach
Journal of Global Optimization
A quartic nonlinear optimization method
Neural, Parallel & Scientific Computations
Solving large-scale optimization problems with EFCOSS
Advances in Engineering Software
Block And Basu's Bivariate Exponential Distribution With Application To Drought Data
Probability in the Engineering and Informational Sciences
A generalized gamma distribution with application to drought data
Mathematics and Computers in Simulation
An interactive environment for supporting the transition from simulation to optimization
Scientific Programming - POOSC '01 Workshop
Predictive user click models based on click-through history
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
The bivariate gamma exponential distribution with application to drought data
Journal of Applied Mathematics and Computing
Computational Statistics & Data Analysis
A new model for symmetric and skewed data
Probability in the Engineering and Informational Sciences
Importance sampling for Bayesian sensitivity analysis
International Journal of Approximate Reasoning
Very accurate posterior approximations based on finite mixtures of the hyperparameters conditionals
Computational Statistics & Data Analysis
EFCOSS: An interactive environment facilitating optimal experimental design
ACM Transactions on Mathematical Software (TOMS)
Polling systems with batch service
OR Spectrum
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We describe a new package, UNCMIN, for finding a local minimizer of a real valued function of more than one variable. The novel feature of UNCMIN is that it is a modular system of algorithms, containing three different step selection strategies (line search, dogleg, and optimal step) that may be combined with either analytic or finite difference gradient evaluation and with either analytic, finite difference, or BFGS Hessian approximation. We present the results of a comparison of the three step selection strategies on the problems in More, Garbow, and Hillstrom in two separate cases: using finite difference gradients and Hessians, and using finite difference gradients with BFGS Hessian approximations. We also describe a second package, REVMIN, that uses optimization algorithms identical to UNCMIN but obtains values of user-supplied functions by reverse communication.