Abstract: An inverse analysis method using the spectral decomposition of Green's function is proposed. For linear inverse problems of identifying inner sources from surface responses, Green's function ...

Inverse optimisation and linear programming have emerged as crucial instruments in addressing complex decision-making problems where underlying models must be inferred from observed behaviour. At its ...

The package {samplelim} for the R statistical software provides efficient implementations (C++ encoded) of Monte Carlo Markov Chains (MCMC) algorithms for uniformly sampling high-dimensional polytopes ...

This library provides linear universal approximators of non-negative functions with inverse M-kernels. For details, see our NeurIPS2024 paper [1]. The code was tested on Python 3.10.8. The approach to ...

Abstract: A linear thermocouple temperature meter based on the inverse reference function is presented, whose hardware consists of AD590M, multiplexer, standard resistor, amplifier, AD converter, ...

ABSTRACT: This paper presents a recursive procedure to compute the Moore-Penrose inverse of a matrix A. The method is based on the expression for the Moore-Penrose inverse of rank-one modified matrix.

In experimental statistics the usual method of estimating treatment effects is to introduce arbitrary linear restrictions among the treatment effects in order to obtain solutions of the normal ...

This paper describes a new algorithm for the selection of the pivot row in matrix inversion when using the product form of the inverse. This algorithm has been developed for linear programming codes; ...

The inverse linear association between haemoglobin and pulse oximeter readings implies a dose-response relationship which in turn supports the interpretation that this is a causal effect. However, the ...

1 Center for Informatics and Statistics, Ministry of Agriculture and Rural Development, Hanoi, Vietnam. 2 School of Economics, the University of Queensland, Brisbane, Australia. 3 School of Economics, ...