Application Scientists Join Algorithm Designers at Workshop on Large-Scale Nonlinear Problems

March 13, 2004

Research advances in computational science have made simulation a truly equal partner with theory and experiment in understanding physical phenomena. Decision makers in government and industry increasingly rely on simulations as they make choices of ever-greater impact. As a result, computational scientists are being called on to solve problems with more complex and coupled physics than ever before. In such applications as fluid dynamics, fusion, electronics, groundwater flow, astrophysics, and combustion, coupled models are replacing studies previously limited to individual effects. In addition, parallel computers with large storage capacities have paved the way for high-resolution simulations on large-scale domains. The growth in the complexity and size of models, coupled with the advent of more powerful machines, has led to a continued and increasing demand for effective algorithms for solving large-scale systems of nonlinear equations.


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