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KELLEY
- Referenced in 600 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...
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CMA-ES
- Referenced in 102 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...
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Anderson
- Referenced in 67 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...
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rgenoud
- Referenced in 26 articles
[sw08657]
- algorithms with derivative-based (Newton or quasi-Newton) methods to solve difficult optimization problems. Genoud...
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SNOPT
- Referenced in 507 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...
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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...
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Poblano
- Referenced in 9 articles
[sw04186]
- Ribiere, Hestenes-Stiefel), a limited-memory quasi-Newton method using BFGS updates to approximate second...
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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...
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admixture
- Referenced in 5 articles
[sw26449]
- ADMIXTURE software is implemented using a quasi-Newton method, and will typically converge much more...
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LSA
- Referenced in 4 articles
[sw22887]
- method and the inverse column-update quasi-Newton method, respectively. Besides the description of methods...
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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...
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NLP
- Referenced in 3 articles
[sw07786]
- derivatives is described. It is a quasi-Newton method in which the termination criterion...
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csminwel
- Referenced in 3 articles
[sw05280]
- files. csminwel: minimization. Uses a quasi-Newton method with BFGS update of the estimated inverse...
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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...
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PROC NLMIXED
- Referenced in 59 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...
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LDLTP
- Referenced in 1 article
[sw00508]
- rank-1 updating in quasi-Newton methods for optimization. In this paper...
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PyBerny
- Referenced in 1 article
[sw33442]
- amalgam of several techniques, comprising the quasi-Newton method, redundant internal coordinates, an iterative Hessian...
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QNSTOP
- Referenced in 3 articles
[sw26832]
- Fortran 2003 codes for the quasi-Newton stochastic optimization method of Castle and Trosset...
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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...
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MARKOV
- Referenced in 1 article
[sw22809]
- estimated via the method of maximum likelihood using a quasi-Newton optimization algorithm. The program...