Cover: Experiments In Multiresolution Modeling (MRM)

Experiments In Multiresolution Modeling (MRM)

Published 1998

by Paul K. Davis, James H. Bigelow

Download

Download eBook for Free

FormatFile SizeNotes
PDF file 4.1 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.

Purchase

Purchase Print Copy

 Format Price
Add to Cart Paperback86 pages $13.00

This study describes the motivation for multiresolution modeling (MRM) within a single model or a family of models. After introducing a new measure of consistency for models of different resolution, the study discusses in some depth obstacles to and methods for multiresolution modeling (also called variable-resolution modeling), illustrating issues with a detailed military example involving precision fires. The study highlights the value of visual design, array formalism, formal mathematics to identify natural aggregation fragments, integrated hierarchical variable resolution (IHVR) yielding "trees" of variables, estimation theory, alternative aggregate representations called out in a user interface, "stretcher variables," and computational methods to identify natural phase transitions and facilitate calibrations. The study recommends that major Department of Defense models such as JWARS emphasize MRM and related research on family-of-models issues. It notes that MRM is not an all-or-nothing matter and that incorporating even some multiresolution features can be quite useful. Finally, the study notes that MRM is a frontier issue and suggests directions for further research.

This report is part of the RAND monograph report series. The monograph/report was a product of RAND from 1993 to 2003. RAND monograph/reports presented major research findings that addressed the challenges facing the public and private sectors. They included executive summaries, technical documentation, and synthesis pieces.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.