Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Richard V. Helgason"'
Autor:
Thomas, R. E.
Publikováno v:
Interfaces, 1982 Apr 01. 12(2), 91-92.
Externí odkaz:
https://www.jstor.org/stable/25060245
Autor:
Whitlock, Charles
Publikováno v:
The Journal of the Operational Research Society, 1981 May 01. 32(5), 418-419.
Externí odkaz:
https://www.jstor.org/stable/2581561
Autor:
Steinberg, David I.
Publikováno v:
Computers & Mathematics with Applications. (4):350
Autor:
Ronald D. Dearing, Richard V. Helgason
Publikováno v:
The Engineering Economist. 55:38-51
Project balances are shown to be the coefficients resulting from division of the future worth polynomial by a simple monomial and are used in representations of the future worth polynomial and its derivative. Those representations are used to provide
Publikováno v:
Journal of Heuristics. 7:473-494
This manuscript presents a heuristic algorithm based on geometric concepts for the problem of finding a path composed of line segments from a given origin to a given destination in the presence of polygonal obstacles. The basic idea involves construc
Publikováno v:
INFORMS Journal on Computing. 10:323-330
We present an algorithm for identifying the extreme rays of the conical hull of a finite set of vectors whose generated cone is pointed. This problem appears in diverse areas including stochastic programming, computational geometry, and non-parametri
Autor:
Richard V. Helgason, José H. Dulá
Publikováno v:
European Journal of Operational Research. 92:352-367
Consider a set, A of n points in m-dimensional space. The convex hull of these points is a polytope, P , in R m . The frame, F , of these points in the set of extreme points of teh polytope P with F ⊆ A . The problem of identifying the frame plays
Publikováno v:
Optimization Methods and Software. 4:191-207
Minimum cost network flow problems with a piecewise linear convex cost function are used to model various optimization problems. They are also used extensively to approximate nonlinear cost functions which may otherwise be difficult to handle. Solvin
Publikováno v:
Computational Optimization and Applications. 2:47-75
Four new shortest-path algorithms, two sequential and two parallel, for the source-to-sink shortest-path problem are presented and empirically compared with five algorithms previously discussed in the literature. The new algorithm, S22, combines the
Publikováno v:
Handbook of Optimization in Telecommunications ISBN: 9780387306629
Handbook of Optimization in Telecommunications
Handbook of Optimization in Telecommunications
The minimal cost network flow model is defined along with optimality criteria and three efficient procedures for obtaining an optimal solution. Primal and dual network simplex methods are specializations of well-known algorithms for linear programs.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e111b14e39079da45d531850b4dadd4d
https://doi.org/10.1007/978-0-387-30165-5_6
https://doi.org/10.1007/978-0-387-30165-5_6