Structured nonlinear optimization

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Large-scale nonlinear optimization problems are solved routinely in applications. The ever-increasing need to solve such problems faster and more accurately, while the demand also is to solve larger and larger instances, is a source of inspiration for scientists to devise and establish new and better algorithms, especially for very large-scale problems that have special structures that both arises in applications and can be favourably exploited when developing efficient algorithms for their solution. This line of research focuses on developing a series of algorithms for certain classes of such structured nonlinear programs.

Keywords: Large-scale nonlinear optimization

• Michael Patriksson

  Professor, Mathematical Sciences

  Michael Patriksson is professor of applied mathematics. His research spans models and algorithms for nonlinear optimization problems and variational inequalities, convex non-differentiable...