Optimization by Least Squares

Previous article Next article Optimization by Least SquaresDavid D. MorrisonDavid D. Morrisonhttps://doi.org/10.1137/0705006PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] R. Courant, Variational methods for the solution of problems of equilibrium and vibrations, Bull. Amer. Math. Soc., 49 (1943), 1–23 MR0007838 0063.00985 CrossrefGoogle Scholar Previous article Next article FiguresRelatedReferencesCited byDetails A Surrogate Model Based Multi-Objective Optimization Method for Optical Imaging System5 July 2022 | Applied Sciences, Vol. 12, No. 13 Cross Ref An objective penalty function method for biconvex programming3 September 2021 | Journal of Global Optimization, Vol. 81, No. 3 Cross Ref Smoothing Approximation to the New Exact Penalty Function with Two Parameters9 April 2021 | Asia-Pacific Journal of Operational Research, Vol. 38, No. 05 Cross Ref Combined use of a frame and a linear pushbroom camera for deep-sea 3D hyperspectral mapping Cross Ref Phase-shift determination for a 4 × 4 intelligent photonic neural network with compatible learning1 March 2021 | Applied Optics, Vol. 60, No. 7 Cross Ref Penalty and Barrier Methods20 August 2021 Cross Ref Ligand binding to natural and modified human serum albuminAnalytical Biochemistry, Vol. 612 Cross Ref Theorems of Alternative and Optimization4 November 2020 Cross Ref Generalized logarithmic penalty function method for solving smooth nonlinear programming involving invex functions13 April 2019 | Arab Journal of Basic and Applied Sciences, Vol. 26, No. 1 Cross Ref Modified Courant-Beltrami penalty function and its convergence Cross Ref An Objective Penalty Function-Based Method for Inequality Constrained Minimization ProblemMathematical Problems in Engineering, Vol. 2018 Cross Ref A high-performance nonlinear dynamic scheme for the solution of equilibrium constrained optimization problemsExpert Systems with Applications, Vol. 82 Cross Ref A New Augmented Lagrangian Objective Penalty Function for Constrained Optimization ProblemsOpen Journal of Optimization, Vol. 06, No. 02 Cross Ref An M-Objective Penalty Function Algorithm Under Big Penalty Parameters29 August 2015 | Journal of Systems Science and Complexity, Vol. 29, No. 2 Cross Ref Penalty and Barrier Methods Cross Ref Basic Properties of Linear Programs Cross Ref Duality and Complementarity Cross Ref Augmented Lagrangian Objective Penalty Function3 November 2015 | Numerical Functional Analysis and Optimization, Vol. 36, No. 11 Cross Ref An exact penalty function based on the projection matrixApplied Mathematics and Computation, Vol. 245 Cross Ref A feedback neural network for solving convex quadratic bi-level programming problems22 December 2013 | Neural Computing and Applications, Vol. 25, No. 3-4 Cross Ref Second-Order Smoothing Objective Penalty Function for Constrained Optimization Problems6 February 2014 | Numerical Functional Analysis and Optimization, Vol. 35, No. 3 Cross Ref A New Objective Penalty Function Approach for Solving Constrained Minimax Problems20 March 2014 | Journal of the Operations Research Society of China, Vol. 2, No. 1 Cross Ref References8 July 2013 Cross Ref Exactness and algorithm of an objective penalty function4 April 2012 | Journal of Global Optimization, Vol. 56, No. 2 Cross Ref A Smoothing Objective Penalty Function Algorithm for Inequality Constrained Optimization Problems23 May 2011 | Numerical Functional Analysis and Optimization, Vol. 32, No. 7 Cross Ref Lagrange-Type Functions Cross Ref General lagrange-type functions in constrained global optimization part II: Exact auxiliary functions31 January 2008 | Optimization Methods and Software, Vol. 16, No. 1-4 Cross Ref Locating critical points on multi-dimensional surfaces by genetic algorithm: test cases including normal and perturbed argon clustersChemical Physics, Vol. 241, No. 3 Cross Ref Exploring a discretized generator coordinate route to approximate eigenstates of one- and two-dimensional anharmonic oscillators within the framework of the simulated annealing methodChemical Physics Letters, Vol. 262, No. 6 Cross Ref A random walk to local minima and saddle points on a potential energy surface. 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