linear programming analysis
101David Shmoys — Fields Computer Science, Computational complexity theory Institutions Cornell …
102Newton's method in optimization — A comparison of gradient descent (green) and Newton s method (red) for minimizing a function (with small step sizes). Newton s method uses curvature information to take a more direct route. In mathematics, Newton s method is an iterative method… …
103Conjugate gradient method — A comparison of the convergence of gradient descent with optimal step size (in green) and conjugate vector (in red) for minimizing a quadratic function associated with a given linear system. Conjugate gradient, assuming exact arithmetic,… …
104Models of neural computation — are attempts to elucidate, in an abstract and mathematical fashion, the core principles that underlie information processing in biological nervous systems, or functional components thereof. This article aims to provide an overview of the most… …
105George Dantzig — George Bernard Dantzig (* 8. November 1914 in Portland (Oregon); † 13. Mai 2005 in Stanford (Kalifornien)) war ein US amerikanischer Mathematiker. Er gilt als Vater der linearen Optimierung, einem Teilgebiet des Operations Research. Bekannt wurde …
106Nimrod Megiddo — is a mathematician and computer scientist. He is research scientist at the IBM Almaden Research Center. His interests include optimization, algorithm design and analysis, game theory, and machine learning.[1][2] Megiddo received Ph.D. in… …
107Potentially all pairwise rankings of all possible alternatives — (PAPRIKA) is a method for multi criteria decision making (MCDM) or conjoint analysis based on decision makers’ preferences as expressed using pairwise rankings of alternatives.[1][2] The PAPRIKA method – implemented via a specific type of… …
108Route assignment — Route assignment, route choice, or traffic assignment concerns the selection of routes (alternative called paths) between origins and destinations in transportation networks. It is the fourth step in the conventional transportation forecasting… …
109Quantile regression — is a type of regression analysis used in statistics. Whereas the method of least squares results in estimates that approximate the conditional mean of the response variable given certain values of the predictor variables, quantile regression… …
110Nelder–Mead method — Nelder–Mead simplex search over the Rosenbrock banana function (above) and Himmelblau s function (below) See simplex algorithm for Dantzig s algorithm for the problem of linear opti …
