SARBayes Optimal Resource Allocation Library

(This is recovered from an old history sidebar for SORAL. The code was updated in 2008 for the AGMSAR package.)

Version 2.0 release scheduled for 28 Feb 2003.

Jan. 2003: The code is now fully redocumented using dOxygen!! The public interface can be seen here. The private interface is available to developers upon request and right now is available here. In both cases the Developer's Manual is available under the "Related Pages" link in the header. Thanks to André Oboler!

20 Dec. 2002: André Oboler has reorganized and streamlined the library and the Charnes-Cooper function as suggested last year (and beyond). Users can now create, store, and modify their own allocations via the userDef object. David Albrecht will port the algorithm described in Washburn's JOTA paper from MATLAB while André Oboler and Charles Twardy work on optimal allocations given fixed resources (what CASIE-III does, but much smarter).

Summer 2001: SORAL 1.0 was released, an open-source library for optimum resource allocation for land SAR. It included the Charnes-Cooper algorithm and all the auxilliary functions (compute coverage, POD, POS, etc). Programmers Gareth Thompson and Michael Eldridge recommended some streamlining.

Author: ctwardy

Charles Twardy started the SARBayes project at Monash University in 2000. Work at Monash included SORAL, the Australian Lost Person Behavior Study, AGM-SAR, and Probability Mapper. At George Mason University, he added the MapScore project and related work. More generally, he works on evidence and inference with a special interest in causal models, Bayesian networks, and Bayesian search theory, especially the analysis and prediction of lost person behavior. From 2011-2015, Charles led the DAGGRE & SciCast combinatorial prediction market projects at George Mason University, and has recently joined NTVI Federal as a data scientist supporting the Defense Suicide Prevention Office. Charles received a Dual Ph.D. in History & Philosophy of Science and Cognitive Science from Indiana University, followed by a postdoc in machine learning at Monash.