Algorithmic Learning Theory: 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001. Proceedings.
Naoki Abe, Roni Khardon, Thomas Zeugmann
Springer, Nov 7, 2001 - Computers - 377 pages
The present set of lecture notes gives both a status report and a survey of recent advances for the most important quantization methods in the field theories for elementary particle physics. The first part of the book introduces light-cone quantization as an interesting alternative to the commonly used covariant perturbation theory and functional-integral methods. Next, a general formalism for quantizing systems with constraints, the projection-operator approach, is presented and structural aspects of the renormalization problem for gauge invariant field theories are discussed. Finally, the mathematics underlying the functional-integral quantizaion is reviewed.Suitable as a reference for researchers in the field, the book will prove particularly useful for lecturers and gradjuate students in search of additional reading beyond the standard texts on quantum field theory.
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Algorithmic Learning Theory: 12th International Conference, ALT 2001 ...
Naoki Abe,Roni Khardon
No preview available - 2001
Nicolň Cesa-Bianchi, Masayuki Numao, Rüdiger Reischuk (Eds.): Algorithmic Learning Theory, 13th International Conference, ALT 2002, Lübeck, Germany, ...
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Títol, Algorithmic learning theory : 13th international conference, ALT 2002, Lübeck, Germany, november 24-26, 2002 : proceedings / Nicolň Cesa-Bianchi, ...
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