Newton's Method in Optimization

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High Quality Content by WIKIPEDIA articles! In mathematics, Newton's method is a well-known algorithm for finding roots of equations in one or more dimensions. It can also be used to find local maxima and local minima of functions, as these extrema are the roots of the derivative function. In mathematics, computing, and related subjects, an algorithm is an effective method for solving a problem using a finite sequence of instructions. Algorithms are used for calculation, data processing, and many other fields. Each algorithm is a list of well-defined instructions for completing a task. Starting from an initial state, the instructions describe a computation that proceeds through a well-defined series of successive states, eventually terminating in a final ending state.

Klappentext

High Quality Content by WIKIPEDIA articles! In mathematics, Newton's method is a well-known algorithm for finding roots of equations in one or more dimensions. It can also be used to find local maxima and local minima of functions, as these extrema are the roots of the derivative function. In mathematics, computing, and related subjects, an algorithm is an effective method for solving a problem using a finite sequence of instructions. Algorithms are used for calculation, data processing, and many other fields. Each algorithm is a list of well-defined instructions for completing a task. Starting from an initial state, the instructions describe a computation that proceeds through a well-defined series of successive states, eventually terminating in a final ending state.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786130331672
    • Editor Lambert M. Surhone, Miriam T. Timpledon, Susan F. Marseken
    • Sprache Englisch
    • Größe H220mm x B150mm x T5mm
    • Jahr 2010
    • EAN 9786130331672
    • Format Fachbuch
    • ISBN 978-613-0-33167-2
    • Titel Newton's Method in Optimization
    • Untertitel Mathematics, Newton's Method, Equation, Derivative, Maxima and Minima, Stationary Point, Taylor Series, Smooth Function, Iteration
    • Gewicht 147g
    • Herausgeber Betascript Publishers
    • Anzahl Seiten 88
    • Genre Mathematik

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