Abstract
Continuous functions of two real variables are approximated on compact domains in the uniform norm by the classes NOM of nomographic functions which appear as approximation subspaces in bivariate approximation theory, in the theory of integral equations., functional equations, scalings of matrices, Goursat-type problems for the wave equation. The approximation problem is converted into the negative cycle problem in a properly chosen family of weighted directed graphs, and a version of the Ford-Bellman algorithm for finding the shortest paths leads to constructive proofs of new characterization and existence theorems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aumann, G. Ober approximative Nomographic II. Bayer. Akad. Wiss. Math. Nat. Kl. S. B., (1959), 103–109.
Buck, R.C. On approximation theory and functional equations. J. Approximation Theory 5 (1972), 228–237.
Cheney, E.W. Approximating multivariate functions by combinations of univariate ones. Center for Numerical Analysis, The University of Texas, Report 148 (1979).
Cheney, E.W. — v. Golitschek, M. On the algorithm of Di liberto and Straus for approximating bivariate functions by univariate ones. Numer. Funet. Anal, and Optimiz. 1 (1979), 341–363.
Cheney, E.W. — Light, W.A. On the approximation of a bivariate function by the sum of univariat ones. J. Approximation Theory, to appear.
Collatz, L. Approximation by functions of fewer variables. In: Lecture Notes in Mathematics 280 (1972), 16–31.
Dantzig, G.B. — Blattner, W.O. — Rao, M.R. Finding a cycle in a graph with minimum cost to time ratio with applications to a ship routing problem. In: Theory of Graphs (P. Rosenstiehl, ed.), International Symposium, Rome 1966, pp. 77–83.
Diliberto, S.P. — Straus, E.G. On the approximation of functions of several variables by the sum of functions of fewer variables. Pacific J. Math. 1 (1951), 195–210.
Fox, B. Finding minimum cost-time ratio curcuits. Operations Research 17 (1969), 546–551.
Fulkerson, D.R. — Wolfe, P. An algorithm for scaling matrices. SIAM Rev. 4 (1962), 142–146.
v. Golitschek, M. Approximation of functions of two variables by the sum of two functions of one variable. In: Numerical Methods of Approximation Theory (L. Collatz, G. Meinardus, H. Werner, eds.), Birkhäuser Verlag, ISNM 52 (1980), pp. 117–124.
v. Golitschek, M. An algorithm for scaling matrices and computing the minimum cycle mean in a digraph. Numer. Math. 35 (1980), 45–55.
v. Golitschek, M. Optimal cycles in doubly weighted graphs and approximation of bivariate functions by univariate ones. Numer. Math. 39 (1982), 65–84.
v. Golitschek, M. Approximating bivariate functions and matrices by nomographic functions. In: Quantitative Approximation (R. DeVore, K. Scherer, eds,), Academic Press, New York 1980, pp.143–151.
v.Golitschek, M. — Rothblum, U.G. — Schneider, H. A conforming decomposition theorem, a piecewise linear theorem of the alternative, and scalings of matrices satisfying lower and upper bounds. Mathematical Programming, to appear.
v. Golitschek, M. — Schneider, H. Applications of shortest path algorithms to matrix scalings. Numer, Math., to appear.
Golomb, M. Approximation by functions of fewer variables.In: Numerical Approximation (R. Langer, ed.), Madison 1959, pp.275–327.
Havinson, S.J. A Chebyshev theorem for the approximation of a function of two variables by the sum Φ(x) + Ψ(y). Izv. Akad. Nauk SSSR Ser. Mat. 33. (1969), 650–666.
Holmes, R.B. Geometrical Functional Analysis and its Applications, Springer Verlag, New York 1975.
Karp, R.M, A characterization of the minimum cycle mean in a digraph. Discrete Math. 23 (1978), 309–311.
Lawler, E.L. Optimal cycles in doubly weighted directed linear graphs. In: Theory of Graphs (P. Rosenstiehl, ed.), International Symposium, Rome 1966, pp.209–213.
Lawler, E.L. Optimal cycles in graphs and the minimal cost-to-time ratio problem. In: Periodic Optimization, Vol. I (A. Marzollo, ed.) Udine 1972, pp.37–60.
Lawler, E.L. Combinatorial Optimization: Networks and Matroids. New York 1976.
Michael, E. Continuous selections. Ann. Math. 63 (1956), 361–382.
Ofman, J.P. Best approximation of functions of two variables by functions of the form Φ(x) + Ψ(y). Amer. Math. Soc. Transl. 44 (1965), 12–29.
Rothblum, U.G. — Schneider, H. Characterizations of optimal scalings of matrices. Mathematical Programming 19 (1980), 121–136.
Saunders, B.D. — Schneider, H. Flows on graphs applied to diagonal similarity and diagonal equivalence of matrices. Discrete Mathematics 24 (1978), 202–220.
Yen, J.Y. Shortest Path Network Problems. Mathematical Systems in Economics 18, Meisenheim 1975.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1984 Springer Basel AG
About this chapter
Cite this chapter
Golitschek, M.v. (1984). Shortest Path Algorithms for the Approximation by Nomographic Functions. In: Butzer, P.L., Stens, R.L., Sz.-Nagy, B. (eds) Anniversary Volume on Approximation Theory and Functional Analysis. ISNM 65: International Series of Numerical Mathematics / Internationale Schriftenreihe zur Numerischen Mathematik / Série internationale d’Analyse numérique, vol 65. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-5432-0_27
Download citation
DOI: https://doi.org/10.1007/978-3-0348-5432-0_27
Publisher Name: Birkhäuser, Basel
Print ISBN: 978-3-0348-5434-4
Online ISBN: 978-3-0348-5432-0
eBook Packages: Springer Book Archive