A quadratic-tensor model algorithm for nonlinear least-squares problems with linear constraints.
Richard J. HansonFred T. KroghPublished in: ACM Trans. Math. Softw. (1992)
Keyphrases
- objective function
- levenberg marquardt
- probabilistic model
- linear constraints
- linearly constrained
- nonlinear least squares
- neural network
- em algorithm
- bayesian framework
- combinatorial optimization
- expectation maximization
- least squares
- dynamic programming
- search space
- quadratic program
- learning algorithm
- linear programming
- convex hull
- evolutionary algorithm
- probability density function
- primal dual
- nonnegative matrix factorization
- log likelihood
- artificial neural networks
- trust region
- genetic algorithm