Adaptive Model Hierarchies for Multi-Query Scenarios

TL;DR

This paper introduces an abstract framework for adaptive model hierarchies designed to efficiently handle multiple queries in iterative processes like optimization or Monte Carlo methods.

Contribution

It presents a novel abstract framework for adaptive model hierarchies and specific instances tailored for applications requiring multiple query responses.

Findings

Framework enables efficient multi-query processing

Hierarchies adapt dynamically within outer loops

Applicable to optimization and Monte Carlo methods

Abstract

In this contribution we present an abstract framework for adaptive model hierarchies together with several instances of hierarchies for specific applications. The hierarchy is particularly useful when integrated within an outer loop, for instance an optimization iteration or a Monte Carlo estimation where for a large set of requests answers fulfilling certain criteria are required.