NANANov 19, 2017

Remarks on numerical integration, discrepancy, and diaphony

arXiv:1711.070173 citationsh-index: 38
AI Analysis

Provides theoretical connections between two fields, but is purely theoretical with no empirical results.

The paper unifies formulations of numerical integration from approximation theory and discrepancy theory, and uses approximation theory techniques to prove lower bounds for smooth discrepancy.

The goal of this paper is twofold. First, we present a unified way of formulating numerical integration problems from both approximation theory and discrepancy theory. Second, we show how techniques, developed in approximation theory, work in proving lower bounds for recently developed new type of discrepancy -- the smooth discrepancy.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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