title: Searching with iterated maps.
abstract: In many problems that require extensive searching, the solution can be described as satisfying two competing constraints, where satisfying each independently does not pose a challenge. As an alternative to tree-based and stochastic searching, for these problems we propose using an iterated map built from the projections to the two constraint sets. Algorithms of this kind have been the method of choice in a large variety of signal-processing applications; we show here that the scope of these algorithms is surprisingly broad, with applications as diverse as protein folding and Sudoku.
authors.affiliation: Department of Physics, Cornell University, Ithaca, NY 14853, USA. ve10@cornell.edu
authors.forename: V
authors.initials: V
authors.lastname: Elser
authors.forename: I
authors.initials: I
authors.lastname: Rankenburg
authors.forename: P
authors.initials: P
authors.lastname: Thibault
mesh_terms: D000465:Algorithms; D007091:Image Processing, Computer-Assisted; D016014:Linear Models; D008958:Models, Molecular; D008967:Molecular Biology; D017510:Protein Folding; D013816:Thermodynamics