A survey of non‐linear optimization techniques
- 1 March 1969
- journal article
- Published by Wiley in FEBS Letters
- Vol. 2 (S1), 39-55
- https://doi.org/10.1016/0014-5793(69)80075-x
Abstract
If the solution is constrained, that is, certain values of the parameters are regarded as impossible or certain relations between the parameter values must be obeyed, the problem is more difficult. The second part of the review considers methods which have been proposed for the solution of constrained optimization problems.Keywords
This publication has 15 references indexed in Scilit:
- Conjugate Gradient Method for Nonlinear Programming Problems with Linear ConstraintsIndustrial & Engineering Chemistry Fundamentals, 1968
- Extensions of SUMT for Nonlinear Programming: Equality Constraints and ExtrapolationManagement Science, 1966
- An efficient method for finding the minimum of a function of several variables without calculating derivativesThe Computer Journal, 1964
- The Sequential Unconstrained Minimization Technique for Nonlinear Programing, a Primal-Dual MethodManagement Science, 1964
- The Gradient Projection Method for Nonlinear Programming. Part II. Nonlinear ConstraintsJournal of the Society for Industrial and Applied Mathematics, 1961
- The Gradient Method in Process ControlIndustrial & Engineering Chemistry, 1961
- The Created Response Surface Technique for Optimizing Nonlinear, Restrained SystemsOperations Research, 1961
- The Gradient Projection Method for Nonlinear Programming. Part I. Linear ConstraintsJournal of the Society for Industrial and Applied Mathematics, 1960
- An Automatic Method for Finding the Greatest or Least Value of a FunctionThe Computer Journal, 1960
- Evolutionary Operation: A Method for Increasing Industrial ProductivityJournal of the Royal Statistical Society Series C: Applied Statistics, 1957