Functional Regression has been an active subject of research in the last two decades but still lacks a secure variable selection methodology. Lasso is a well known effective technique for parameters shrinkage and variable selection in regression problems. In this work we generalize the Lasso...

This paper develops a decompose procedure for finding the optimal solution of convex and concave Quadratic Programming (QP) problems together with general Non-linear Programming (NLP) problems. The paper also develops a sophisticated computer technique corresponding to the author's algorithm...

Subject: The education in mathematics, its failure and costs, and how to redesign this market. The political economy of mathematics education. Method: We do not require statistics to show that mathematics education fails but can look at the math itself. Criticism on mathematics itself can only...

We have recently developed a package in Maple that allows to perform logical computations in any existing or proposed many-valued logic (that can be defined using truth tables). It has applications in logic engineering (e.g. when creating a new logic adapted to some requirements), in theoretical...

With the advent of atonal music at the beginning of the 20th Century, composers drastically changed the way they thought about pitches. Octave equivalence became the prominent idea, in which pitches with the same relative placement in different octaves were considered to be functionally...