MAXIMUM-ENTROPY RECONSTRUCTION USING DERIVATIVE INFORMATION .2. COMPUTATIONAL RESULTS

被引：10

作者：

BORWEIN, JM

LEWIS, AS

LIMBER, MN

NOLL, D

机构：

[1] UNIV STUTTGART,INST MATH B,D-70550 STUTTGART,GERMANY

[2] SIMON FRASER UNIV,CTR EXPTL & CONSTRUCT MATH,BURNABY,BC V5A 1S6,CANADA

[3] UNIV WATERLOO,DEPT COMBINATOR & OPTIMIZAT,WATERLOO,ON N2L 3G1,CANADA

来源：

NUMERISCHE MATHEMATIK | 1995年 / 69卷 / 03期

关键词：

D O I：

10.1007/s002110050090

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Maximum entropy density estimation, a technique for reconstructing an unknown density function on the basis of certain measurements, has applications in various areas of applied physical sciences and engineering. Here we present numerical results for the maximum entropy inversion program based on a new class of information measures which are designed to control derivative values of the unknown densities.

引用

页码：243 / 256

页数：14

共 38 条

[1] A DUAL APPROACH TO MULTIDIMENSIONAL LP SPECTRAL ESTIMATION PROBLEMS [J].