| Scientific Computing
Scientific Computing is about constructing mathematical models, adapting numerical solution techniques, and using computers to analyze scientific and engineering problems.
This field differs from Computer Science, which is the study of computers and computations.
Scientific Computing aims to gain understanding, mainly through the analysis of mathematical models implemented on high-performance or super computers.
Scientific Computing at Rensselaer
Investigations range from the study of fundamental problems in linear algebra to the development and analysis of numerical schemes for solving particular physical or life science problems.
Rensselaer houses the Scientific Computation Research Center (SCOREC). This interdisciplinary center is focused on the development of reliable simulation technologies for engineers, scientists, medical professionals, and other practitioners. These advancements enable experts in their fields to employ, appraise, and evaluate the behavior of physical, chemical, and biological systems.
Other resources include Numerically Intensive Computing Facilities.
Current Projects
Research activities include:
- Numerical solution of:
- Optimization problems.
- Inverse eigenvalue problems.
- Free-boundary problems.
- Finite difference and finite element methods for stiff initial and boundary-value problems.
- Methods of resolving problems involving composite materials.
Applications of this research include:
Faculty Researchers
Kristin Bennett
David Isaacson
Ashwani Kapila
John Mitchell
Victor Roytburd
Donald Schwendeman
William Siegmann
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