On the convergence of a regularizing Levenberg-Marquardt scheme for nonlinear ill-posed problems.
Marlis HochbruckMichael HönigPublished in: Numerische Mathematik (2010)
Keyphrases
- levenberg marquardt
- initial guess
- nonlinear least squares
- least squares
- conjugate gradient algorithm
- artificial neural networks
- back propagation
- convergence rate
- conjugate gradient
- bundle adjustment
- training algorithm
- gauss newton
- neural network
- gauss seidel
- trust region
- computer vision
- structure from motion
- single image
- support vector
- objective function
- decision making
- artificial intelligence
- machine learning