Andreas Potschka

Numerical Analysis · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Andreas Potschka trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. N. Gould
  2. Trond Steihaug
  3. Yurii E. Nesterov
  4. Johan Efberg
  5. Anders Logg
  6. Hans Joachim Ferreau
  7. Jorge J. Moré
  8. Stephen J. Wright

Who trusts Andreas Potschka overall

  1. Moritz Diehl

Papers from Andreas Potschka's perspective

Ordered by how strongly the researchers Andreas Potschka trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Some NP-complete problems in quadratic and nonlinear programming
  2. The Conjugate Gradient Method and Trust Regions in Large Scale Optimization
  3. Solving the Trust-Region Subproblem using the Lanczos Method
  4. Benchmarking optimization software with performance profiles
  5. Linear Programming and Extensions
  6. Interior-point polynomial algorithms in convex programming
  7. Adaptive cubic regularisation methods for unconstrained optimization. Part I: motivation, convergence and numerical results (Mathematical programming)
  8. Introductory Lectures on Convex Optimization - A Basic Course
  9. An online active set strategy to overcome the limitations of explicit MPC
  10. ACADO toolkit—An open‐source framework for automatic control and dynamic optimization

Their papers