Among the numerical inverse Laplace transformation (NILT) methods, those that belong to Abate-Whitt framework (AWF) are considered be most efficient ones currently. It is a characteristic feature of AWF NILT procedures they independent transform function and time point interest. In this work we propose an procedure goes beyond limitation optimize accuracy utilizing also

Tensor networks represent the state-of-the-art in computational methods across many disciplines, including classical simulation of quantum many-body systems and circuits. Several applications current interest give rise to tensor with irregular geometries. Finding best possible contraction path for such is a central problem, an exponential effect on computation time memory footprint. In this wor...

We study the optimization of exact renormalization group ~ERG! flows. We explain why the convergence of approximate solutions towards the physical theory is optimized by appropriate choices of the regularization. We consider specific optimized regulators for bosonic and fermionic fields and compare the optimized ERG flows with generic ones. This is done up to second order in the derivative expa...

An enclosure of a composite spline surface is a pair of simpler approximations that sandwich the surface. In particular, we are interested in efficiently constructing two triangulations, so that matched triangle pairs enclose a piece of the curved surface. The width of the enclosure, i,e. the distance between inner and outer hull, can be easily measured, because it is taken on at a vertex. Encl...

In imaging systems, following acquisition, an image/video is transmitted or stored and eventually presented to human observers using different and often imperfect display devices. While the resulting quality of the output image may severely be affected by the display, this degradation is usually ignored in the preceding compression. In this paper we model the sub-optimality of the display devic...

Texture mapping is a common operation to increase the realism of three-dimensional meshes at low cost. We propose a new texture optimization algorithm based on the reduction of the physical space allotted to the texture image. Our algorithm optimizes the use of texture space by computing a warping function for the image and new texture coordinates. Neither the mesh geometry nor its connectivity...

Reversible logic circuits have received significant attention in quantum computing, low power CMOS design, optical information processing, DNA computing, bioinformatics, and nanotechnology. This paper presents two new 4× 4 bit reversible multiplier designs which have lower hardware complexity, less garbage bits, less quantum cost and less constant inputs than previous ones, and can be generaliz...

Support Vector Machines (SVM’s) with various kernels have become very successful in pattern classification and regression. However, single kernels do not lead to optimal data models. Replacing the input space by a kernel-based feature space in which the linear discrimination problem with margin maximization is solved is a general method that allows for mixing various kernels and adding new type...

Today's enterprises face the daunting task of complying with an increasing number of intricate and constantly evolving laws and regulations. While some individual regulations such as Basel II or the USA Patriot Act necessitate the use of risk-based approaches to achieve compliance, the heightened cost and risk of compliance activities have resulted in a general tendency of enterprises to integr...