Newton's method with deflation for isolated singularities of polynomial systems
Theoretical Computer Science
On Location and Approximation of Clusters of Zeros: Case of Embedding Dimension One
Foundations of Computational Mathematics
Deflation and certified isolation of singular zeros of polynomial systems
Proceedings of the 36th international symposium on Symbolic and algebraic computation
Computing the multiplicity structure of an isolated singular solution: Case of breadth one
Journal of Symbolic Computation
Computing the multiplicity structure of an isolated singular solution: Case of breadth one
Journal of Symbolic Computation
Computing Isolated Singular Solutions of Polynomial Systems: Case of Breadth One
SIAM Journal on Numerical Analysis
Verified error bounds for isolated singular solutions of polynomial systems: Case of breadth one
Theoretical Computer Science
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For an isolated breadth-one singular solution xe of a polynomial system F = {f1,..., fn}, fi ∈ C[x1,..., xn] (breadth one means the Jacobian JF (xe) is of corank one), in [6, 7] we present a symbolic-numeric method to refine an approximate solution x with quadratic convergence if x is close to xe. A preliminary implementation performs well in case the approximate Max Noether conditions computed are sparse, but suffers from the evaluation of them when they are not. In this paper we describe how to avoid the linear transformation and evaluate Max Noether conditions efficiently by solving a sequence of least squares problems.