• KELLEY

• Referenced in 592 articles [sw04829]
• inexact Newton methods, and the Gauss-Newton method for the solution of nonlinear least squares ... devoted to line-search and trust-region methods, which are used to globalize convergence ... close to a solution. par The BFGS method is studied in chapter 4. A local ... implementation details are discussed. Other quasi-Newton methods are sketched. The last chapter...

• CMA-ES

• Referenced in 100 articles [sw05063]
• covariance matrix adaptation (CMA) is a method to update the covariance matrix of this distribution ... inverse Hessian matrix in the Quasi-Newton method in classical optimization. In contrast to most...

• Anderson

• Referenced in 56 articles [sw15192]
• mathematics and numerical analysis communities, this method has received relatively little attention from these communities ... relationship of Anderson acceleration to quasi-Newton (secant updating) methods and extended it to define...

• rgenoud

• Referenced in 26 articles [sw08657]
• algorithms with derivative-based (Newton or quasi-Newton) methods to solve difficult optimization problems. Genoud...

• SNOPT

• Referenced in 495 articles [sw02300]
• scale constrained optimization. Sequential quadratic programming (SQP) methods have proved highly effective for solving constrained ... based on a limited-memory quasi-Newton approximation to the Hessian of the Lagrangian...

• IMRO

• Referenced in 7 articles [sw20465]
• IMRO: A proximal quasi-Newton method for solving ℓ 1 -regularized least squares problems ... present a proximal quasi-Newton method in which the approximation of the Hessian...

• Poblano

• Referenced in 9 articles [sw04186]
• Ribiere, Hestenes-Stiefel), a limited-memory quasi-Newton method using BFGS updates to approximate second...

• GUSTAF

• Referenced in 4 articles [sw18113]
• Gustaf: A quasi-newton nonlinear ADI FORTRAN IV program for solving the shallow-water equations ... this method a computationally efficient quasi-Newton method is used to solve, at each time ... method, which is stable unconditionally for the linearized equations. Owing to its nonlinearity, the method ... nonlinear quasi-Newton (QN) iterations performed at each time-step, different QN methods are presented...

• admixture

• Referenced in 5 articles [sw26449]
• ADMIXTURE software is implemented using a quasi-Newton method, and will typically converge much more...

• LSA

• Referenced in 4 articles [sw22887]
• method and the inverse column-update quasi-Newton method, respectively. Besides the description of methods...

• OPTIMA

• Referenced in 13 articles [sw25286]
• descend approach, trust region methods as well as Newton and quasi-Newton techniques with globalization ... constrained optimization problems penalty approaches, SQP methods, barrier techniques and interior point methods are discussed...

• NLP

• Referenced in 3 articles [sw07786]
• derivatives is described. It is a quasi-Newton method in which the termination criterion...

• csminwel

• Referenced in 3 articles [sw05280]
• files. csminwel: minimization. Uses a quasi-Newton method with BFGS update of the estimated inverse...

• SLMQN

• Referenced in 2 articles [sw00879]
• Fortran code of subspace limited memory quasi-Newton method for large-scale bound constrained nonlinear ... optimization. SLMQN is a subspace limited memory quasi-Newton algorithm for solving large-scale bound...

• PROC NLMIXED

• Referenced in 55 articles [sw11039]
• maximization; the default is a dual quasi-Newton algorithm. Successful convergence of the optimization problem ... approximate standard errors by using the delta method...

• LDLTP

• Referenced in 1 article [sw00508]
• rank-1 updating in quasi-Newton methods for optimization. In this paper...

• PyBerny

• Referenced in 1 article [sw33442]
• amalgam of several techniques, comprising the quasi-Newton method, redundant internal coordinates, an iterative Hessian...

• QNSTOP

• Referenced in 2 articles [sw26832]
• Fortran 2003 codes for the quasi-Newton stochastic optimization method of Castle and Trosset...

• PREQN

• Referenced in 9 articles [sw01233]
• automatically generating preconditioners for the conjugate gradient method. It is designed for solving a sequence ... preconditioners are based on limited-memory quasi-Newton updating and are recommended for problems...

• MARKOV

• Referenced in 1 article [sw22809]
• estimated via the method of maximum likelihood using a quasi-Newton optimization algorithm. The program...