Numerical methods for unconstrained optimization and nonlinear equations

Keywords

Nonlinear system, Applied mathematics, Mathematics, Computer science, Mathematics education

References

No references recorded for this paper.

Cited by

• Anatomical standardization of the human brain in euclidean 3-space and on the cortical 2-manifoldSue Whitesides, Alan C. Evans, Steven Robbins — 2004
• A CONVERGENCE CRITERION FOR SECANT METHOD WITH APPROXIMATE ZEROSS. Kim — 1999
• Off-Grid DOA Estimation Based on Analysis of the Convexity of Maximum Likelihood FunctionLiang Liu, Ping Wei, Hong Liao — 2014
• Une méthode de région de confiance avec ensemble actif pour l'optimisation non linéaire sans dérivées avec contraintes de bornes appliquée à des problèmes aérodynamiques bruitésAnke Tröltzsch — 2011
• Generalized Eigenproblem for Stochastic Process CovariancesHans Knutsson, Magnus Borga, Tomas Landelius — 1996
• Algorithms for Noisy Problems in Gas Transmission Pipeline OptimizationR.G. Carter, Joerg Gablonsky, A. Patrick — 2001
• Linearly constrained convex programming of entropy type: Convergence and algorithms.Wanzhen Huang — 1993
• Explanation of how to run the global local optimization code (GLO) to find surface heat fluxSalvador M. Aceves, Vaibhav Sahai, William Stein — 1999
• Optimal absolute error starting values for Newton-Raphson calculation of square rootPaolo Montuschi, Marco Mezzalama — 1991
• Receptive-field properties of Q retinal ganglion cells of the catHubert Chanson — 1995
• A lateral contribution learning algorithm for multi MLP architectureNicolas Pican, Jean‐Claude Fort, Frédéric Alexandre — 1994
• Spectral Element Approach for Inverse Models of 3D Layered PavementChun-Ying Wu, Rafid Al‐Khoury, Cor Kasbergen — 2007
• Local stability and a renormalized Newton Method for equilibrium liquid crystal director modelingEugene C. Gartland, Alison Ramage — 2012
• Spatial properties of the cat X-cell receptive field as a function of mean light levelDalila Rebhi — 1999
• Artificial neural networks in liquid chromatography: efficient and improved quantitative structure-retention relationship models.Yannis L. Loukas — 2000
• A CONTINUATION METHOD APPROACH TO FINDING THE CLOSEST SADDLE NODE BIFURCATION POINTYuri V. Makarov, Ian A. Hiskens — 2007
• Modified Partial-Update Newton-Type Algorithms for Unary OptimizationL. H. Chen, N. Y. Deng, Jiayu Zhang — 1998
• A Fixed-Point Approach to Equilibrium Pricing in Differentiated Product Markets.William R. Morrow — 2008
• Multi - Timescale Control of Energy Storage Enabling the Integration of Variable GenerationDinghuan Zhu — 2014
• Random Restarts in Global OptimizationXin-kang Hu, Ronald W. Shonkwiler, M. C. Spruill — 2009

Related papers

• Matrix computationsGene H. Golub — 1983
• Nonlinear ProgrammingDimitri P. Bertsekas — 1995
• Iterative Methods for Linear and Nonlinear EquationsKelley, C T — 1987
• INEXACT NEWTON METHODSRon S. Dembo, Stanley C. Eisenstat, Trond Steihaug — 1982
• Iterative solution of nonlinear equations in several variablesJ. M. Ortega, Werner C. Rheinboldt — 2014
• Practical Methods of Optimization: Fletcher/Practical Methods of OptimizationR. Ian Fletcher — 2000
• Numerical Methods for Unconstrained Optimization and Nonlinear EquationsJ. E. Dennis, Robert B. Schnabel — 1996
• Trust Region MethodsAndrew R. Conn, Nicholas I. M. Gould, Philippe L. Toint — 2000
• Testing Unconstrained Optimization SoftwareJorge J. Morè, B. S. Garbow, K. E. Hillstrom — 1981