Platt, John C. (1990) Analog Circuits for Constrained Optimization. In: Advances in Neural Information Processing Systems 2 (NIPS 1989). Advances in Neural Information Processing Systems. No.2. Morgan Kaufmann , San Mateo, CA, pp. 777-784. ISBN 1-55860-100-7. https://resolver.caltech.edu/CaltechAUTHORS:20160107-162226619
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Abstract
This paper explores whether analog circuitry can adequately perform constrained optimization. Constrained optimization circuits are designed using the differential multiplier method. These circuits fulfill time-varying constraints correctly. Example circuits include a quadratic programming circuit and a constrained flip-flop.
Item Type: | Book Section | ||||||
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Additional Information: | © 1990 Morgan Kaufmann. This paper was made possible by funding from AT&T Bell Labs. Hardware was provided by Carver Mead, and Synaptics, Inc. | ||||||
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Series Name: | Advances in Neural Information Processing Systems | ||||||
Issue or Number: | 2 | ||||||
Record Number: | CaltechAUTHORS:20160107-162226619 | ||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20160107-162226619 | ||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||
ID Code: | 63482 | ||||||
Collection: | CaltechAUTHORS | ||||||
Deposited By: | Kristin Buxton | ||||||
Deposited On: | 09 Jan 2016 02:08 | ||||||
Last Modified: | 03 Oct 2019 09:28 |
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