Super-speeds with Zero-RAM: Next Generation Large-Scale Optimization in Your Laptop!
  This article presents the novel breakthrough general purpose algorithm for
large scale optimization problems. The novel algorithm is capable of achieving
breakthrough speeds for very large-scale optimization on general purpose
laptops and embedded systems. Application of the algorithm to the Griewank
function was possible in up to 1 billion decision variables in double precision
took only 64485 seconds (~18 hours) to solve, while consuming 7,630 MB (7.6 GB)
or RAM on a single threaded laptop CPU. It shows that the algorithm is
computationally and memory (space) linearly efficient, and can find the optimal
or near-optimal solution in a fraction of the time and memory that many
conventional algorithms require. It is envisaged that this will open up new
possibilities of real-time large-scale problems on personal laptops and
embedded systems.
