Laminar Exponential M-Convex Minimization

A laminar family means a nonempty family of subsets of {1, ... , n} such that

For a laminar family and a family of univariate discrete convex functions indexed by , the function defined by

is an M-convex function [1,2], where

Here we consider an exponential laminar M-convex function:

for a laminar. In this web application, the laminar family is preset for each dimension. For example, = {{1},{2},{3}, {1,2}, {1,2,3}} in the 3-dimensional case.

You can choose the dimension n from 1 to 9.

dimension n = 1 2 3 4 5 6 7 8 9

You can also input parameters a_Y and b_Y in the ranges 0 < a_Y<10 and -10< b_Y< 10.

{1}	{2}	{3}
exp(x({1}))	exp(x({2}))	exp(x({3}))
exp(x({1,2}))
exp(x({1,2,3}))

You can also input an initial solution x:

	1	2	3
x

(Note: "Reset" button resets your inputs to default values.
An inappropriate input value will be replaced with a random number.)

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This web application minimizes f(x) using ODICON.

[1] K. Murota (2001): "Discrete Convex Analysis---An Introduction (in Japanese)," Kyoritsu Publishing Company, Tokyo. Section 4.3.

[2] K. Murota (2003): "Discrete Convex Analysis," SIAM. Section 6.3.

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Satoko Moriguchi, Nobuyuki Tsuchimura