Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
The traveling salesperson problem (TSP) is difficult to solve for input instances with large number of cities. Instead of finding the solution of an input with a large number of c...
Yll Haxhimusa, Walter G. Kropatsch, Zygmunt Pizlo,...
Strange attractors of 3D vector field flows sometimes have a fractal geometric structure in one dimension, and smooth surface behavior in the other two. General flow visualization...
The faster growth curves in the speed of GPUs relative to CPUs in the past decade and its rapidly gained popularity have spawned a new area of development in computational technol...
New emerging scientific applications in geosciences, sensor and spatio-temporal domains require adaptive analysis frameworks that can handle large datasets with multiple dimension...