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- Golden section search Golden section search is a [[bracketing optimization method]] that can be used to find the maxim ... The Golden section search finds local extrema by successively narrowing the brackets that enclose th ...4 KB (651 words) - 22:17, 12 December 2006
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- Sequential quadratic programming The process can be seen as finding search direction toward optimum sequentially through minimizing the quadratic app ... ... irection '''s''' is determined. Then the problem becomes a one-dimensional search problem, which can be solved using exterior penalty function method, as:6 KB (930 words) - 00:10, 26 October 2007
- DDWiki ... , and so that information on relevant people, groups, organizations, new research results and community debates can be included. ... s the user can simply type the topic of interest into the [[Special:Search|search]] box on the left bar.5 KB (773 words) - 22:46, 28 February 2007
- Golden section search Golden section search is a [[bracketing optimization method]] that can be used to find the maxim ... The Golden section search finds local extrema by successively narrowing the brackets that enclose th ...4 KB (651 words) - 22:17, 12 December 2006
- Job postings research and teaching in engineering systems and design. Possible research expertise areas and develop an appropriate research program to support this effort. Other duties will include2 KB (346 words) - 18:09, 2 June 2008
- Optimality conditions (NLP) ... optimality using a [[Taylor series expansion]]. NLP algorithms in general search for points that satisfy these conditions. If the NLP formulation is [[conv ...6 KB (904 words) - 20:16, 22 September 2008
- Optimization * [[Operations research]]: Optimization applied to operations decisions in an organization, such a ... ... teger restrictions create a [[combinatorial]] domain (many combinations to search, rather than a smooth multidimensional function). Mixed problems include b ...11 KB (1531 words) - 22:04, 17 November 2010
- Mixed-integer nonlinear programming ... arch, [[multistart]] global search, exact [[penalty function]] based local search, constrained local optimization). It serves to analyze and solve complex n ... ... ud, A S, and Meeraus, A, Modeling Systems and Nonlinear Programming in a Research Environment. In Ragavan, R and Rohde, S M, Eds, Computers in Engineering, ...8 KB (1068 words) - 19:20, 26 October 2008
- Coevolutionary algorithms ... problems just mentioned. As such, they have become an important area of research in the field of evolutionary computation. <br /> ... indirectly. Potter’s methods have also been used or extended by other researchers. Eriksson and Olsson (1997) use a cooperative coevolutionary algorithm ...12 KB (1827 words) - 15:56, 11 January 2007
- Multi-Objective Optimization ... ptimum solutions is known as Multi-Objective Optimization. Most real-world search and optimization problems naturally involve multiple objectives. Different ... ... reference vector is used to scalarize multiple objectives. Since classical search and optimization methods use a point-by-point approach, where one solution ...12 KB (1743 words) - 20:58, 25 November 2008
- Genetic algorithms ... niques for large problems with complex formulations and where [[exhaustive search]] is not an option. Just as natural selection is thought to lead to improv ...7 KB (1151 words) - 21:06, 11 November 2007
- Automated alerts Set up an RSS feed search string for new articles matching your search criteria2 KB (284 words) - 20:39, 18 May 2007
- Integrated Design Innovation Group ... between design theory, artificial intelligence, cognition and operations research, giving a unique approach to addressing the conceptual design problem. Our ... [[category:research groups]]2 KB (255 words) - 08:17, 5 December 2007
- Optimal Design Laboratory ... king models to describe design alternatives, and mathematical methods that search the design space for the best design among all possible design options – ... More recently our research has focused on design methods for large complex systems, including decompo ...1 KB (205 words) - 08:19, 5 December 2007
- Intellectual property * [http://www.google.com Google Patent Search]2 KB (365 words) - 19:49, 13 March 2007
- Patent ... roviding a mechanism by which the inventor can recoup costs of high risk research & development and startup activities and earn profit from the work of inve ... ... 'Encourage R&D''': Patents provide incentives for economically efficient research and development (R&D). Many large modern corporations have annual R&D budg ...9 KB (1397 words) - 03:03, 15 October 2007
- SNOPT ... roximations to the Hessian of the augmented Lagrangian function to finding search direction toward optimal solution.1 KB (154 words) - 19:03, 18 March 2007
- MINOS ... on with linear constraints: MINOS uses reduced-gradient method to generate search direction. ... es projected Lagrangian method to linearlize the nonlinear constraints and search optimal solution in an augmented Lagrangian form. For highly nonlinear con ...1 KB (188 words) - 19:21, 18 March 2007
- Funding A list of some funding sources for supporting research: ... ing/pgm_summ.jsp?pims_id=6201 National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP)]7 KB (1014 words) - 03:54, 25 September 2008
- Using EIOLCA to evaluate a product ... oduct. (If the search does not work for the US 2002 Purchaser Price model, search the sectors using the Producer Price model and then switch back to the Pur ... ### '''[[Eco-Indicators]]:''' Researchers have also elicited subjective opinions from experts in fields related t ...12 KB (1892 words) - 20:35, 28 January 2011
- Powell's method ... ion method, is a zero-order optimization method improved from [[univariate search method]]. ... nd generate a new direction toward next iterative point. As unidirectional search vector ''S''<sub>''i''</sub>, ''i'' = 1...''n'' (for ''n'' variables) is d ...1 KB (203 words) - 14:56, 22 September 2007
