Domain decomposition methods constitute a fundamental strategy in numerical analysis, enabling the partitioning of large and complex computational problems into smaller, more manageable sub-problems.

Special Issue No. 91: PROCEEDINGS OF THE 3rd INTERNATIONAL WATER SAFETY SYMPOSIUM IWSS 2018 (SUMMER 2019), pp. 146-150 (5 pages) Published By: Coastal Education & Research Foundation, Inc. In this ...

We propose a new concept which allows us to apply any numerical method of weak approximation to a very broad class of stochastic differential equations (SDEs) with nonglobally Lipschitz coefficients.

Optical systems employ a rich array of physical effects which are described by well-understood equations. However, for all but the simplest devices these equations are typically too complex to permit ...

The Remote Sensing, Earth and Space Sciences focus area is a field that embodies a broad multidisciplinary approach. The expected competency at the graduating Masters level in the RSESS focus area is ...

Analysis and implementation of numerical methods for random processes: random number generators, Monte Carlo methods, Markov chains, stochastic differential equations, and applications. Recommended ...

This paper deals with numerical solutions to an impulse control problem arising from optimal portfolio liquidation with bid-ask spread and market price impact penalizing speedy execution trades. The ...

In my two previous columns, I discussed the lower and intermediate levels of the building block approach for crashworthiness testing and analysis of composite structures. I focused on the commercial ...