parametric mathematical programming
1Mathematical model — Not to be confused with the same term that is used in model theory, a branch of mathematical logic. An artifact that is used to illustrate a mathematical idea may also be called a mathematical model, the usage of which is the reverse of the sense …
2Programming language — lists Alphabetical Categorical Chronological Generational A programming language is an artificial language designed to communicate instructions to a machine, particularly a computer. Programming languages can be used to create programs that… …
3Data envelopment analysis — (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers[clarification needed]. It is used to empirically measure productive efficiency of decision making units (or DMUs). Non parametric… …
4David Shmoys — Fields Computer Science, Computational complexity theory Institutions Cornell …
5Multi-criteria decision analysis — Multiple criteria decision making or multiple criteria decision analysis is a sub discipline of operations research that explicitly considers multiple criteria in decision making environments. Whether in our daily lives or in professional… …
6Möbius ladder — Two views of the Möbius ladder M16. In graph theory, the Möbius ladder Mn is a cubic circulant graph with an even number n of vertices, formed from an n cycle by adding edges (called rungs ) connecting opposite pairs of vertices in the cycle. It… …
7Data Envelopment Analysis — (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers. It is used to empirically measure productive efficiency of decision making units (or DMUs). There are also parametric approaches… …
8Thomas L. Saaty — NOTOC Thomas L. Saaty (born 1926 in Mosul, Iraq) [ [http://www.archives.upenn.edu/primdocs/upa/upa1 1/60s/19691114a1.pdf Faculty appointments] from Wharton (Nov 14, 1969)] is an American mathematician serving as… …
9Isotonic regression — In numerical analysis, isotonic regression (IR) involves finding a weighted least squares fit to a vector with weights vector subject to a set of monotonicity constraints giving a simple or partial order over the variables. The monotonicity… …
10List of NP-complete problems — Here are some of the more commonly known problems that are NP complete when expressed as decision problems. This list is in no way comprehensive (there are more than 3000 known NP complete problems). Most of the problems in this list are taken… …
