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In the first part, I shall present a new way to construct highly stiff stable schemes. Traditional time discretization schemes are usually based on Taylor expansions at $t_{n+\beta}$ with $\beta\in [0...
High-dimensional sampling problems are ubiquitous in statistics, operations research, machine learning, etc. In this talk, I will introduce quantum algorithms for two important problems in high-dimens...
The focus of this talk is on the numerical methods used to identify parameters in partial differential equations. Typically, an optimization approach is used to solve this class of inverse problems, w...
Today, the Harvard University Data Science Initiative announced the AWS Impact Computing Project at the HDSI, a collaboration with Amazon Web Services (AWS) aimed at reimagining data science to identi...
Following the first successful international conference, Compsafe2014 in Sendai, Japan, on April, 2014, on behalf of the Chinese Association of Computational Mechanics (CACM), we will host Compsafe201...
The Internet was invented by physicists, emerging from scientists at CERN who needed a means to send information quickly to geographically dispersed team members. The systems that have evolved since t...
Computers have proven capable of helping scientists solve many research problems, from the dynamics of black hole mergers to distant connections in reams of genomic data.But there are some problems th...
Fitness plays many roles throughout evolutionary theory, from a measure of populations in the wild to a central element in abstract theoretical presentations of natural selection. It has thus been the...
Fining agents are commonly used in the winemaking process to clarify and stabilise wines. They have different origins (animal, vegetal or mineral) and are added to wines in order to remove specificall...
Both the legal and accounting conceptual differences in national legislations regulating mergers may be quite significant in spite of the unification processes taking place via the transposition of EU...
We consider the stochastic geometry model where the location of each node is a random point in a given metric space,or the existence of each node is uncertain. We study the problem-s of computing the ...
Spatial models whose weighting matrices have blocks of equal elements might be considered if units are viewed as equally distant within certain neighborhoods, but unrelated between neighborhoods. We g...
The upper-income, advanced industrial countries of the world today all have market economies with open competition, competitive multi-party democratic political systems, and a secure government mon...
Geometric programming (GP) describes a type of optimization problem that has been known since the 1970s, but recently has attracted more attention for several reasons. The first is the development of ...
The statistical properties of the certainty equivalence control rule and of the least squares estimates generated by this rule are examined experimentally in a linear model with two unknown paramete...

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