# Nicely structured positive bases with maximal cosine measure

arXiv: https://arxiv.org/abs/2112.08212 · HTML: https://mlsanity.com/paper/2112.08212/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Dec 2021.

## Built on by (most cited first, 1 of 1)

- [Exact Risk Ratios for Weighted Data Selection in Linear Regression](https://mlsanity.com/paper/2608.28007/) (2026)

## Abstract (arXiv)

The properties of positive bases make them a useful tool in derivative-free optimization (DFO) and an interesting concept in mathematics. The notion of the cosine measure helps to quantify the quality of a positive basis. It provides information on how well the vectors in the positive basis uniformly cover the space considered. The number of vectors in a positive basis is known to be between n+1 and 2n inclusively. When the number of vectors is strictly between n+1 and 2n, we say that it is an intermediate positive basis. In this paper, the structure of intermediate positive bases with maximal cosine measure is investigated. The structure of an intermediate positive basis with maximal cosine measure over a certain subset of positive bases is provided. This type of positive bases has a simple structure that makes them easy to generate with a computer software.