Table of contents:
- J. Bourgain
- M-C. Chang, University of California-Riverside
- D. Chudnovsky, Polytechnic University
- G. Chudnovsky, Polytechnic University
- G. Freiman, Tel-Aviv, Israel
- B. Green, Bristol UK
- N. Hindman, Howard University
- A. Iosevich, University of Missouri-Columbia
- J. Lagarias, University of Michigan
- R. Jin, College of Charleston.-R. Grigorchuk, Texas Aamp;M University
- T. Tao, University of California- Los Angeles
Providing an up-to-date snapshot of the field, this volume presents a broad introduction to the current state of additive number theory. The applications discussed include communication theory and digital signal processing, image processing, optimization and discrete geometry.
- J. Bourgain
- M-C. Chang, University of California-Riverside
- D. Chudnovsky, Polytechnic University
- G. Chudnovsky, Polytechnic University
- G. Freiman, Tel-Aviv, Israel
- B. Green, Bristol UK
- N. Hindman, Howard University
- A. Iosevich, University of Missouri-Columbia
- J. Lagarias, University of Michigan
- R. Jin, College of Charleston.-R. Grigorchuk, Texas Aamp;M University
- T. Tao, University of California- Los Angeles
Providing an up-to-date snapshot of the field, this volume presents a broad introduction to the current state of additive number theory. The applications discussed include communication theory and digital signal processing, image processing, optimization and discrete geometry.