Non-cuboid iterative room optimizer

Projected non-stationary simultaneous iterative methods

In this paper, we study Projected non-stationary Simultaneous It-erative Reconstruction Techniques (P-SIRT). Based on algorithmic op-erators, convergence result are adjusted with Opial’s Theorem. The advantages of P-SIRT are demonstrated on examples taken from to-mographic imaging.

Weighted Rectangle and Cuboid Packing

Given a set of rectangular items, all of them associated with a profit, and a single bigger rectangular bin, we can ask to find a non-rotational, non-overlapping packing of a selection of these items into the bin to maximize the profit. A detailed description of the (2 + )-approximation algorithm of Jansen and Zhang [8] for the twodimensional case is given. Furthermore we derive a (16 + )-appro...

Cuboid-navicular Tarsal Coalition

The authors present the case of a nine-year-old female patient who presented with pain in her right foot associated with physical activities. After this case was diagnosed as cuboid-navicular tarsal coalition, the patient was treated surgically with resection of the coalition, thereby resolving the symptoms. The literature was reviewed and the importance of adequate physical examination and ima...

Iterative methods for solving non linear Fokker-Planck equation

Iterative and Non-iterative Simulation Algorithms

The Gibbs sampler, Metropolis’ algorithm, and similar iterative simulation methods are related to rejection sampling and importance sampling, two methods which have been traditionally thought of as non-iterative. We explore connections between importance sampling, iterative simulation, and importance-weighted resampling (SIR), and present new algorithms that combine aspects of importance sampli...