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Mathematical Sciences

Mathematical Sciences Research

Applied Geometry
Approximation Theory
Chemically-Reacting Flows
Computational Logic
Dynamical Systems
Environmental Problems
Fluid Dynamics
Inverse Problems
Machine Learning
Math Education
Mathematical Physics
Multiphase Flows
Nonlinear Analysis
Nonlinear Materials
Nonlinear Waves
Operations Research and Mathematical Programming
Perturbation Methods
Scientific Computing

Mathematical Sciences Research

Optimization is the mathematical techniques involved in the procedures used to make a system or design as effective or functional as possible.

Optimization at Rensselaer

Researchers in the Mathematical Sciences department study the following areas of optimization:

  • Geometric programming.
  • Multiple objective linear programming.
  • Algorithm development and evaluation in nonlinear programming.
  • Applications of mathematical programming.
  • Computational optimization.

Optimization applications are also researched in the Computer Science department and throughout Rensselaer’s School of Engineering.

Current Projects

Researchers currently work on:

  • Database query optimization.
  • The development of an optimization model of locating protein binding sites on DNA strands.
  • Portfolio optimization.
  • Design of optimal critical airfoils.

Faculty Researchers

Kristin Bennett
Joseph Ecker
Mark Holmes
Joyce McLaughlin
John Mitchell
Donald Schwendeman


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