• KELLEY

  • Referenced in 609 articles [sw04829]
  • introduction to optimization methods for unconstrained and bound constrained minimization problems. The style ... dots{} we treat a small number of methods in depth, giving less detailed description ... chapters conclude with a demonstration of the methods discussed in the respective chapter using ... such cases the noise often introduces artificial minimizers. Gradient information, even if available, cannot expected...
  • fminsearch

  • Referenced in 262 articles [sw07467]
  • enormously popular direct search method for multidimensional unconstrained minimization. Despite its widespread use, essentially ... prove convergence to a minimizer for dimension 1, and various limited convergence results for dimension ... Nelder--Mead method can be proved to converge to a minimizer for a more specialized...
  • NBI

  • Referenced in 198 articles [sw05075]
  • parameters, a property which the popular method of minimizing weighted combinations of objective functions lacks...
  • SPGL1

  • Referenced in 173 articles [sw08365]
  • each iteration, a spectral gradient-projection method approximately minimizes a least-squares problem with ... derivative information needed for the root-finding method. Numerical experiments on a comprehensive...
  • tn

  • Referenced in 135 articles [sw05140]
  • Newton-type minimization via the Lanczos method This paper discusses the use of the linear ... Lanczos method) in the solution of large-scale unconstrained minimization problems. It is shown ... Lanczos characterization of the linear conjugate-gradient method may be exploited to define a modified...
  • GQTPAR

  • Referenced in 317 articles [sw07451]
  • propose an algorithm for the problem of minimizing a quadratic function subject to an ellipsoidal ... algorithm in a trust region Newton’s method. In particular, we prove that under reasonable ... assumptions the sequence generated by Newton’s method has a limit point which satisfies ... second order necessary conditions for a minimizer of the objective function. Numerical results for GQTPAR...
  • BRENT

  • Referenced in 426 articles [sw14021]
  • BRENT Algorithms for Minimization Without Derivatives. BRENT is a C library which contains algorithms ... scalar variable, by Richard Brent. The methods do not require the use of derivatives...
  • MNIST

  • Referenced in 202 articles [sw12859]
  • pattern recognition methods on real-world data while spending minimal efforts on preprocessing and formatting...
  • Anderson

  • Referenced in 74 articles [sw15192]
  • define a broader Anderson family of acceleration methods. In this paper, our goals ... certain sense to the generalized minimal residual (GMRES) method. We also show that the Type...
  • HSL-VF05

  • Referenced in 66 articles [sw36311]
  • region subproblem using the Lanczos method. The approximate minimization of a quadratic function within ... important subproblem for many nonlinear programming methods. When the number of variables is large...
  • CMRH

  • Referenced in 29 articles [sw02194]
  • Hessenberg reduction algorithm. The generalized minimal residual (GMRES) methods and the quasi-minimal residual...
  • Walksat

  • Referenced in 206 articles [sw04328]
  • methods used to select which variable to flip. GSAT makes the change which minimizes...
  • k-means++

  • Referenced in 131 articles [sw21622]
  • means method is a widely used clustering technique that seeks to minimize the average squared...
  • impute

  • Referenced in 99 articles [sw14376]
  • missing values. Methods for imputing missing data are needed, therefore, to minimize the effect ... applied. In this report, we investigate automated methods for estimating missing data. Results: We present...
  • bmrm

  • Referenced in 21 articles [sw11016]
  • Regularized Risk Minimization Package. Bundle methods for minimization of convex and non-convex risk under...
  • Optimization Toolbox

  • Referenced in 288 articles [sw10828]
  • Toolbox™ provides functions for finding parameters that minimize or maximize objectives while satisfying constraints ... problems, perform tradeoff analyses, and incorporate optimization methods into algorithms and applications...
  • ve08

  • Referenced in 146 articles [sw05141]
  • minimizer x *, in which case conjugate gradient and limited memory variable metric methods were found...
  • kappalab

  • Referenced in 50 articles [sw06086]
  • programming, a maximum entropy like method based on variance minimization, a minimum distance approach...
  • PSwarm

  • Referenced in 66 articles [sw00742]
  • equipping the overall method with the capability of finding a global minimizer. Our extensive numerical ... highly competitive with other global optimization methods based only on function values. PSwarm is extended...
  • alphaBB

  • Referenced in 49 articles [sw06249]
  • Problems. A branch and bound global optimization method, ffBB, for general continuous optimization problems involving ... series of nonlinear convex minimization problems. The global optimization method, ffBB, is implemented...