NMaxValue (Built-in Mathematica Symbol)

NMaxValue[f, x] gives the maximum value of f with respect to x.NMaxValue[f, {x, y, ...}] gives the maximum value of f with respect to x, y, .... NMaxValue[{f, cons}, {x, y, ...

NMinValue (Built-in Mathematica Symbol)

NMinValue[f, x] gives the minimum value of f with respect to x.NMinValue[f, {x, y, ...}] gives the minimum value of f with respect to x, y, .... NMinValue[{f, cons}, {x, y, ...

TrigExpand (Built-in Mathematica Symbol)

TrigExpand[expr] expands out trigonometric functions in expr.

Real Polynomial Systems (Mathematica Tutorial)

A real polynomial system is an expression constructed with polynomial equations and inequalities combined using logical connectives and quantifiers and

Exact Global Optimization (Mathematica Tutorial)

Exact global optimization problems can be solved exactly using Minimize and Maximize. This computes the radius of the circle, centered at the origin, circumscribed about the ...

Numerical Optimization (Mathematica Tutorial)

Searching for local minima and maxima. This finds the value of x which minimizes Γ(x), starting at x2. The last element of the list gives the value at which the minimum is ...

Symbolic Evaluation (Mathematica Tutorial)

The functions FindMinimum, FindMaximum, and FindRoot have the HoldAll attribute and so have special semantics for evaluation of their arguments. First, the variables are ...

InterpolatingPolynomial (Built-in Mathematica Symbol)

InterpolatingPolynomial[{f_1, f_2, ...}, x] constructs an interpolating polynomial in x which reproduces the function values f_i at successive integer values 1, 2, ... of x. ...

Introduction to Unconstrained ... (Mathematica Tutorial)

Mathematica has a collection of commands that do unconstrained optimization (FindMinimum and FindMaximum) and solve nonlinear equations (FindRoot) and nonlinear fitting ...

NArgMin (Built-in Mathematica Symbol)

NArgMin[f, x] gives a position x_min at which f is numerically minimized.NArgMin[f, {x, y, ...}] gives a position {x_min, y_min, ...} at which f is numerically ...