
Successive approximation by quadratic fitting as applied to optimization problems
Purchase Print Copy
Format | List Price | Price | |
---|---|---|---|
Add to Cart | Paperback32 pages | $20.00 | $16.00 20% Web Discount |
An investigation of a technique of solving optimization problems by expanding the original functional about an approximating function to obtain a quadratic function, which can then be solved exactly using dynamic programming. Applications and numerical results are given for a one-dimensional example, a two-point problem, and approximations over a grid of points. 32 pp.
This report is part of the RAND Corporation Research memorandum series. The Research Memorandum was a product of the RAND Corporation from 1948 to 1973 that represented working papers meant to report current results of RAND research to appropriate audiences.
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.
The RAND Corporation 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.