𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Optical Computing

✍ Scribed by Tooley, F A P(Editor)


Publisher
CRC Press
Year
1989
Tongue
English
Leaves
332
Series
Sussp 34
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


Written by ten leading experts in the field, Optical Computing cover topics such as optical bistability, optical interconnects and circuits, photorefractive devices, spatial light modulators, associative memory, and optical computer architectures.

✦ Table of Contents


Cover......Page 1
Half Title......Page 2
Title Page......Page 4
Copyright Page......Page 5
Sussp Proceedings......Page 6
Director's Preface......Page 7
List of Participants......Page 9
Photograph......Page 11
Table of Contents......Page 14
Chapter 1: Introduction......Page 16
Chapter 2: A Short History of the Field of Optical Computing......Page 22
Chapter 3: Optical Computing with Spatial Light Modulators......Page 38
Chapter 4: Optical Switching Devices: Some Basic Concepts......Page 70
Chapter 5: Quantum Well Electroabsorptive Devices......Page 86
Chapter 6: Optical Circuits......Page 110
Chapter 7: Photorefractive Devices & Applications......Page 148
Chapter 8: Digital Optics......Page 184
Chapter 9: Optical Interconnections......Page 198
Chapter 10: Optical Switching Networks for Communications Systems......Page 204
Chapter 11: Present Computer Architectures & the Potential of Optics......Page 222
Chapter 12: Optical Logic & Arithmetic......Page 236
Chapter 13: Programmable Digital Optical Computers......Page 254
Chapter 14: Perception Learning in Optical Neural Computers......Page 266
Chapter 15: Current Technology Trends......Page 280
Chapter 16: Parallel Computing......Page 296


πŸ“œ SIMILAR VOLUMES


Nonlinear Optics and Optical Computing
✍ W. J. Firth (auth.), S. Martellucci, A. N. Chester (eds.) πŸ“‚ Library πŸ“… 1990 πŸ› Springer US 🌐 English

<p>The conference "Nonlinear Optics and Optical Computing" was held May 11-19, 1988 in Erice, Sicily. This was the 13th conference organized by the International School of Quantum Electronics, under the auspices of the "Ettore Majorana" Center for Scientific Culture. This volume contains both the in

Optical Computing Hardware. Optical Comp
✍ JΓΌrgen Jahns, Sing H. Lee and Sing H. Lee (Auth.) πŸ“‚ Library πŸ“… 1994 πŸ› Elsevier Inc, Academic Press 🌐 English

The speed of today's high performance electronic computers is increasingly limited by the number and bandwidth of the interconnections and by data storage and retrieval rates rather than by processing power. Optics, with its inherent parallelism and interconnection capabilities, can offer interestin

Optical Devices in Communication and Com
✍ Xi P. (Ed.) πŸ“‚ Library 🌐 English

InTech, 2012, 230 pages, ISBN: 9535107637 9789535107637.<br/>This book focuses recent developments of theoretical analysis, designs of novel nano-photonic structures and functional materials for optical instrumentation.<div class="bb-sep"></div>Optical devices in communication and computation have a

Modeling and Optimization of Optical Com
✍ Chandra Singh; Rathishchandra R Gatti πŸ“‚ Library πŸ“… 2023 πŸ› Wiley 🌐 English

MODELING and OPTIMIZATION of OPTICAL COMMUNICATION NETWORKS Optical networks are an integral part of many of the technologies that we use every day. It is a constantly changing and evolving area, with new materials, processes, and applications coming online almost daily. This book provides a b

Computational Optimization of Internal C
✍ Yu Shi, Hai-Wen Ge, Rolf D. Reitz (auth.) πŸ“‚ Library πŸ“… 2011 πŸ› Springer-Verlag London 🌐 English

<p><p><i>Computational Optimization of Internal Combustion Engines</i> presents the state of the art of computational models and optimization methods for internal combustion engine development using multi-dimensional computational fluid dynamics (CFD) tools and genetic algorithms. </p><p>Strategies

Combustion Optimization Based on Computa
✍ Hao Zhou,Kefa Cen (auth.) πŸ“‚ Library πŸ“… 2018 πŸ› Springer Singapore 🌐 English

<p><p>This book presents the latest findings on the subject of combustion optimization based on computational intelligence. It covers a broad range of topics, including the modeling of coal combustion characteristics based on artificial neural networks and support vector machines. It also describes