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J. F. Canny, E. Kaltofen, and L. Yagati, "Solving systems of nonlinear polynomial equations faster," in Proc.
Numerical computations for scalar and systems of nonlinear hyperbolic equations are performed.
In this work methods for parameter estimation in systems of nonlinear differential equations are compared.
The resulting systems of nonlinear algebraic equations are solved using the Picard and Newton iterative methods.
These models, based on conventional biological theories, are implemented as systems of nonlinear differential equations.
In chemical engineering, solving systems of nonlinear algebraic equations is common.
A novel optimization-based method for solving systems of nonlinear equations is proposed.
In the present study, we consider multi-step iterative method to solve systems of nonlinear equations.
Systems of nonlinear equations are ubiquitous in engineering, physics and mechanics, and have myriad applications.
However, even these suffer from the need to solve systems of nonlinear algebriac equations.
Systems of nonlinear equations developed from isotropy conditions are solved analytically to get all possible generators.
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