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In recent years there has been an explosion of complex data-sets in areas as diverse as Bioinformatics, Ecology, Epidemiology, Finance, subsurface Geophysics, Meteorology, and Population genetics. In ...
The nonlinear problem is an important and interesting topic in many research fields. For example, the nonlinear optics model can more accurately describe the light propagation at very high intensities...
Computer experiments and calculations have had a profound influence on many areas covered by this Symposium. In 3-manifold theory the program SnapPea has been widely used to explore the landscape of 3...
It is a great pleasure to announce the 7th Workshop on Quantum Many-Body Computation, which will be held in Beijing from May 5 to 7, 2017. This workshop is organized by the University of Chinese Acade...
The rapid growth of data starts to inflict a major impact in many fields such as computational mathematics, optimization, statistics, computer science, etc. Big data analysis is a new and exciting dir...
The rapid growth of data starts to inflict a major impact in many fields such as computational mathematics, optimization, statistics, computer science, etc. Big data analysis is a new and exciting dir...
The International Symposium on Symbolic and Algebraic Computation (ISSAC) is the premier conference for research in symbolic computation and computer algebra. ISSAC 2016 will be the 41st meeting in th...
Singularly perturbed systems of ordinary di erential equations arise in many biological, physical and chemical systems. We present an example of a singu- larly perturbed system of ordinary di erenti...
This article is intended as an expositional overview of empirical Bayes modeling methodology, presented in a simpli ed framework that reduces technical diculties. The two principal empirical Bayes ...
For linear systems that contain unspecified parameters that lie in given intervals, we present a branch and bound algorithm for computing the maximum H_infinity-norm over the set of uncertain paramete...
For a class of linear systems with unknown parameters that lie in intervals, we present a branch and bound algorithm for computing the worst-case covariance of the state.
This paper describes a method for estimating the distance between a robot and its surrounding environment using best ellipsoid fit. The method consists of the following two stages. First we approximat...
We consider the problem of computing the smallest contact forces, with point-contact friction model, that can hold an object in equilibrium against a known external applied force and torque. It is kno...
The paper discusses some aspects of Iterated Function System while referring to some interesting point of view into Indonesian traditional batik. The deconstruction is delivered in our recognition of ...
This paper introduces a novel approach for rapidly computing a very large number of geodesics on a smooth surface.The idea is to apply the recently developed phase flow method [L. Ying, E.J. Cande `s,...

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