• Introduction and Motivation
  • Finite Dimensional Perturbations
    • Inversion of Analytically Perturbed Matrices
    • Perturbation of Null Spaces, Eigenvectors, and Generalized Inverses
    • Polynomial Perturbation of Algebraic Nonlinear Systems
  • Applications to Optimization and Markov Processes
    • Applications to Optimization
    • Applications to Markov Chains
    • Applications to Markov Decision Processes
  • Infinite Dimensional Perturbations
    • Analytic Perturbation of Linear Operators
    • Background on Hilbert Spaces and Fourier Analysis**
      • The Hilbert Space L2([−π,π])
      • The Hilbert Space H1 (R)
      • Fourier Integrals in H1 (R)
      • The Complex Hilbert Space L2(R)
      • Fourier Integrals in the Complex Space L2(R)