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- W4234513027 abstract "This chapter focuses on two-dimensional surfaces that have extreme values. It finds points where the local gradients are zero then determines whether these points are extreme. The general name for these are turning points as it is quite possible for gradients to be zero yet the points be neither maximum nor minimum. However the name extreme has become generic and synonymous with turning point. A point which is neither a maximum nor a minimum is termed a saddle point. The chapter introduces some optimisation, both in finding the maximum and minimum of two-dimensional functions and especially this together with the use of constraints, called the method of Lagrange multipliers. It also introduces the Newton-Raphson method and other methods that use calculus for finding the best way of determining maxima and minima building on the material." @default.
- W4234513027 created "2022-05-12" @default.
- W4234513027 date "2018-03-09" @default.
- W4234513027 modified "2023-09-24" @default.
- W4234513027 title "Maxima and Minima" @default.
- W4234513027 doi "https://doi.org/10.1002/9781119483731.ch3" @default.
- W4234513027 hasPublicationYear "2018" @default.
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