Matches in DBpedia 2016-04 for { ?s ?p "In calculus, Newton's method is an iterative method for finding the roots of a differentiable function f (i.e. solutions to the equation f(x)=0). In optimization, Newton's method is applied to the derivative f ′ of a twice-differentiable function f to find the roots of the derivative (solutions to f ′(x)=0), also known as the stationary points of f."@en }
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- Newtons_method_in_optimization abstract "In calculus, Newton's method is an iterative method for finding the roots of a differentiable function f (i.e. solutions to the equation f(x)=0). In optimization, Newton's method is applied to the derivative f ′ of a twice-differentiable function f to find the roots of the derivative (solutions to f ′(x)=0), also known as the stationary points of f.".
- Q17086396 abstract "In calculus, Newton's method is an iterative method for finding the roots of a differentiable function f (i.e. solutions to the equation f(x)=0). In optimization, Newton's method is applied to the derivative f ′ of a twice-differentiable function f to find the roots of the derivative (solutions to f ′(x)=0), also known as the stationary points of f.".
- Newtons_method_in_optimization comment "In calculus, Newton's method is an iterative method for finding the roots of a differentiable function f (i.e. solutions to the equation f(x)=0). In optimization, Newton's method is applied to the derivative f ′ of a twice-differentiable function f to find the roots of the derivative (solutions to f ′(x)=0), also known as the stationary points of f.".
- Q17086396 comment "In calculus, Newton's method is an iterative method for finding the roots of a differentiable function f (i.e. solutions to the equation f(x)=0). In optimization, Newton's method is applied to the derivative f ′ of a twice-differentiable function f to find the roots of the derivative (solutions to f ′(x)=0), also known as the stationary points of f.".