Bifurcations via singular value decompositions
Applied Mathematics and Computation
Solving nonlinear systems of equations with only one nonlinear variable
Journal of Computational and Applied Mathematics
Fundamentals of matrix computations
Fundamentals of matrix computations
Iterative solution of nonlinear equations in several variables
Iterative solution of nonlinear equations in several variables
The differentiation of pseudoinverses and nonlinear least squares problems whose variables separate.
The differentiation of pseudoinverses and nonlinear least squares problems whose variables separate.
Applied Numerical Mathematics - 6th IMACS International symposium on iterative methods in scientific computing
Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics, 16)
Solving separable nonlinear equations with jacobians of rank deficiency one
CIS'04 Proceedings of the First international conference on Computational and Information Science
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Separable nonlinear equations have the form A(y)z+b(y)=0 where the matrix A(y) and the vector b(y) are continuously differentiable functions of y@?R^n. Such equations can be reduced to solving a smaller system of nonlinear equations in y alone. We develop a bordering and reduction technique that extends previous work in this area to the case where A(y) is (potentially highly) rank deficient at the solution y^*. Newton's method applied to solve the resulting system for y is quadratically convergent and requires only one LU factorization per iteration. Implementation details and numerical examples are provided.