Sixth IMACS International Symposium on Iterative Methods in Scientific Computing; March 27-30, 2003, Denver, CO

克尼亚泽夫0209311 研究者和他的同事组织了一个关于科学计算中迭代方法的会议。 求解线性和非线性方程组的迭代方法在物理现象的数值模拟中起着越来越重要的作用。预处理是显着提高性能的关键，因为它允许一个直接方法的昂贵的因式分解和缓慢收敛的Charybdis之间找到一条路径。最近计算生物学活动的激增为迭代方法创造了新的机会。例如，蛋白质折叠问题涉及预测蛋白质的天然状态。 这是通过最小化复杂的能量函数来实现的。 解决这个问题的全局优化方法采用迭代方法，但计算限制限制了这种方法应用于小蛋白质（少于100个氨基酸残基）。高性能计算是研究人员正在采取的一种方法。 蛋白质折叠问题只是众多可以使用迭代方法来解决它们的应用之一。 一些针对本次会议的具体议题是：应用（新的重点是计算生物学），区域分解，预处理，并行方法，非对称求解器，非线性系统和特征值求解器，多级方法，Krylov方法，跨学科研究，学生论文和开放问题。 国际数学和计算机模拟协会（IMACS）科学计算迭代方法国际研讨会是自1988年以来定期举行的会议。调查员和同事们组织了第六次这样的会议。该会议致力于提供使用迭代方法的最新技术概述，并着眼于过去，现在和未来的贡献。重点放在确定未来的研究方向，在现代科学计算的主流。特别感兴趣的是跨学科的研究，开放的问题和应用，特别是在计算生物学的会谈。IMACS应用数值数学杂志的特刊专门讨论这次会议。

Knyazev0209311 The investigator and his colleagues organize a conference on iterative methods in scientific computing. Iterative methods for the solution of linear and nonlinear systems of equations play an increasingly important role in the numerical simulation of physical phenomena. Preconditioning is the key for significant improvement of the performance as it allows one to find a path between Scylla of expensive factorizations of direct methods and Charybdis of slow convergence. The recent surge of activity in computational biology creates new opportunities for iterative methods. As an example, the protein folding problem involves predicting the native state of a protein. This is accomplished by minimizing a complex energy function. Global optimization methods for solving this problem employ iterative methods, but computational limitations have restricted the application of such methods to small proteins (fewer than 100 amino acid residues). High performance computing is one avenue researchers are taking. The protein folding problem is only one of a great many applications that can use iterative methods to solve them. Some of the specific topics targeted at this meeting are: applications (with new emphasis on computational biology), domain decomposition, preconditioning, parallel methods, nonsymmetric solvers, nonlinear systems and eigenvalue solvers, multilevel methods, Krylov methods, interdisciplinary research, student papers, and open problems. The International Association for Mathematics and Computers in simulations (IMACS) International Symposiums on Iterative Methods in Scientific Computing are meetings that have been held regularly since 1988. The investigator and colleagues organize the sixth such meeting. The conference is dedicated to providing an overview of the state of the art in the use of iterative methods with an eye to contributions of the past, present and future. The emphasis is placed upon identifying future research directions in the mainstream of modern scientific computing. Of particular interest are talks on interdisciplinary research, open problems, and applications, particularly in computational biology. A special issue of the IMACS Journal Applied Numerical Mathematics is devoted to the meeting.