Linear programming relaxation
Semantic Scholar uses AI to extract papers important to this topic.
What Is It, and What For?.- Examples.- Integer Programming and LP Relaxation.- Theory of Linear Programming: First Steps.- The… Expand A simultaneous sparse approximation problem requests a good approximation of several input signals at once using different linear… Expand A new method is given for performing approximate maximum-likelihood (ML) decoding of an arbitrary binary linear code based on… Expand We develop and analyze methods for computing provably optimal maximum a posteriori probability (MAP) configurations for a… Expand (This article originally appeared in Management Science, January 1981, Volume 27, Number 1, pp. 1-18, published by The Institute… Expand Abstract Fractional kinetic equations of the diffusion, diffusion–advection, and Fokker–Planck type are presented as a useful… Expand In this paper a reformulation technique is presented that takes a given linear zero-one programming problem, converts it into a… Expand The fundamental principles, basic mechanisms, and formal analyses involved in the development of parallel distributed processing… Expand exchange and correlation, are not. We present two related methods for the self-interaction correction (SIC) of any density… Expand