C++ solutions for mathematical problems Arun Ghosh
Publisher: New Age Publications (Academic),India

We all learn it beginning at childhood. He is a mathematician who works for the USGS developing software solutions to mathematical problems that relate to geophysics. We have a lot of common interests, we both bought "Computational Geodynamics" by Taras Gerya, and the last one to work through all the examples in C++ and Matlab has buy a pitcher of beer. -: When we humans describe our It is called Mathematics. Since we can rewrite this problem in terms of discrete mathematics, we will begin by decomposing the problem into sets, the fundamental structure for homogenous data. The code needs to be in a form I can easily convert to C++. Intuitively, we can simply iterate over all subsets of (S) and try all possibilities in. When I say near to mathematics you have to understand an observation I made regarding the "normal" programming languages - with this I mean C/C++/Java/COBOL/Perl/etc. Where (n) is the number of elements of the set. We all are trained in describing problems and also their solutions in mathematical ways. You are given Brute Force Solution. David George was at AGU for a few days and we had a good chance to talk and I am really hoping to continue working with him in the future. I doubt there is an exact analytic solution to this problem. Especially the enginnering type people are strongly trained in this. Maybe there is someone out there with a mathematical background that would relish the challenge? This proof is trivial because there are 2n subsets for any set including the empty set (see the cardinality of the power set).