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Optimizing Polynomial Solvers for Minimal Geometry Problems Oleg Naroditsky and Costs Danielius University of Pennsylvania Philadelphia, PA parodies, costs cis.Penn.edu Abstract In recent years polynomial
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Optimizing polynomial solvers are used for finding the roots or solutions of polynomial equations in a way that minimizes computational resources and time.
Optimizing polynomial solvers can be used by mathematicians, researchers, software developers, or anyone working with polynomial equations and seeking efficient solutions.
To fill out optimizing polynomial solvers, one needs to provide the polynomial equation to be solved, specify the desired optimization criteria, and choose appropriate algorithms or methods to achieve the optimization.
The purpose of optimizing polynomial solvers is to efficiently and accurately find the roots or solutions of polynomial equations, reducing computational time and resources required for computations.
The specific information required to be reported on optimizing polynomial solvers may vary depending on the implementation or purpose. Generally, it involves providing the polynomial equation, optimization criteria, relevant parameters, and the computed solutions or roots.
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