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FindMaxValue

FindMaxValue[f, x]
gives the value at a local maximum of f.
FindMaxValue[f, {x, x0}]
gives the value at a local maximum of f, found by a search starting from the point x=x0.
FindMaxValue[f, {{x, x0}, {y, y0}, ...}]
gives the value at a local maximum of a function of several variables.
FindMaxValue[{f, cons}, {{x, x0}, {y, y0}, ...}]
gives the value at a local maximum subject to the constraints cons.
FindMaxValue[{f, cons}, {x, y, ...}]
starts from a point within the region defined by the constraints.
  • If the starting point for a variable is given as a list, the values of the variable are taken to be lists with the same dimensions.
  • cons can contain equations, inequalities or logical combinations of these.
  • FindMaxValue first localizes the values of all variables, then evaluates f with the variables being symbolic, and then repeatedly evaluates the result numerically.
  • FindMaxValue[f, {x, x0, x1}] searches for a local maximum in f using x0 and x1 as the first two values of x, avoiding the use of derivatives.
  • FindMaxValue[f, {x, x0, xmin, xmax}] searches for a local maximum, stopping the search if x ever gets outside the range xmin to xmax.
  • Except when f and cons are both linear, the results found by FindMaxValue may correspond only to local, but not global, maxima.
  • By default, all variables are assumed to be real.
  • For linear f and cons, xElementIntegers can be used to specify that a variable can take on only integer values.
Find a maximum value of a univariate function:
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Find a maximum value of a multivariate function:
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Find the maximum value of a function subject to constraints:
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