A computational method for finding all the roots of a vector function
Applied Mathematics and Computation
Algorithm 755: ADOL-C: a package for the automatic differentiation of algorithms written in C/C++
ACM Transactions on Mathematical Software (TOMS)
A cell exclusion algorithm for determining all the solutions of a nonlinear system of equations
Applied Mathematics and Computation
Empirical Evaluation of Innovations in Interval Branch and Bound Algorithms for Nonlinear Systems
SIAM Journal on Scientific Computing
Applied Mathematics and Computation
Algorithm 795: PHCpack: a general-purpose solver for polynomial systems by homotopy continuation
ACM Transactions on Mathematical Software (TOMS)
On the complexity of exclusion algorithms for optimization
Journal of Complexity
A new exclusion test for finding the global minimum
Journal of Computational and Applied Mathematics
Finding all solutions of separable systems of piecewise-linear equations using integer programming
Journal of Computational and Applied Mathematics
Lipschitz condition for finding real roots of a vector function
Journal of Computational Methods in Sciences and Engineering
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Exclusion tests are a well-known tool for obtaining all solutions of a nonlinear system of equations, see, e.g., the work of Krawczyk or Moore. Recently, Yamamura and collaborators have developed Linear Programming exclusion tests that turned out to be highly successful for nonlinear problems in electrical networking. The author has developed higher order exclusion tests based on Taylor expansions. In the present paper it is shown that the ideas behind both approaches can be combined: We present a new class of higher order Linear Programming exclusion tests, investigate their computational complexity, and illustrate their performance on several examples.