pith. sign in

arxiv: 1110.4864 · v2 · pith:E7AEZBF7new · submitted 2011-10-21 · 🧮 math-ph · math.MP· physics.ed-ph· physics.pop-ph

Mathematical Physics : Problems and Solutions of The Students Training Contest Olympiad in Mathematical and Theoretical Physics (May 21st - 24th, 2010)

G. S. Beloglazov , A. L. Bobrick , S. V. Chervon , B. V. Danilyuk , M. V. Dolgopolov , M. G. Ivanov , O. G. Panina , E. Yu. Petrova
show 6 more authors
I. N. Rodionova E. N. Rykova M. Y. Shalaginov I. S. Tsirova I. V. Volovich A. P. Zubarev
This is my paper
classification 🧮 math-ph math.MPphysics.ed-phphysics.pop-ph
keywords mathematicalphysicstheoreticalcontestolympiadproblemsstudentsinstitute
0
0 comments X
read the original abstract

The present issue of the series <<Modern Problems in Mathematical Physics>> represents the Proceedings of the Students Training Contest Olympiad in Mathematical and Theoretical Physics and includes the statements and the solutions of the problems offered to the participants. The contest Olympiad was held on May 21st-24th, 2010 by Scientific Research Laboratory of Mathematical Physics of Samara State University, Steklov Mathematical Institute of Russia's Academy of Sciences, and Moscow Institute of Physics and Technology (State University) in cooperation. The present Proceedings is intended to be used by the students of physical and mechanical-mathematical departments of the universities, who are interested in acquiring a deeper knowledge of the methods of mathematical and theoretical physics, and could be also useful for the persons involved in teaching mathematical and theoretical physics.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Fine-Tuning Small Reasoning Models for Quantum Field Theory

    cs.LG 2026-04 unverdicted novelty 7.0

    Small 7B reasoning models were fine-tuned on synthetic and curated QFT problems using RL and SFT, yielding performance gains, error analysis, and public release of data and traces.