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MinValue [f,x]

gives the minimum value of f with respect to x.

MinValue [f,{x,y,}]

gives the exact minimum value of f with respect to x, y, .

MinValue [{f,cons},{x,y,}]

gives the minimum value of f subject to the constraints cons.

MinValue [,xrdom]

constrains x to be in the region or domain rdom.

MinValue [,,dom]

constrains variables to the domain dom, typically Reals or Integers .

Details and Options
Details and Options Details and Options
Examples  
Basic Examples  
Scope  
Basic Uses  
Univariate Problems  
Multivariate Problems  
Parametric Problems  
Optimization over Integers  
Optimization over Regions  
Options  
WorkingPrecision  
Applications  
Basic Applications  
Geometric Distances  
Properties & Relations  
Possible Issues  
See Also
Tech Notes
Related Guides
History
Cite this Page

MinValue

MinValue [f,x]

gives the minimum value of f with respect to x.

MinValue [f,{x,y,}]

gives the exact minimum value of f with respect to x, y, .

MinValue [{f,cons},{x,y,}]

gives the minimum value of f subject to the constraints cons.

MinValue [,xrdom]

constrains x to be in the region or domain rdom.

MinValue [,,dom]

constrains variables to the domain dom, typically Reals or Integers .

Details and Options

  • MinValue is also known as infimum.
  • MinValue finds the global minimum of f subject to the constraints given.
  • MinValue is typically used to find the smallest possible values given constraints. In different areas, this may be called the best strategy, best fit, best configuration and so on.
  • If f and cons are linear or polynomial, MinValue will always find the global infimum.
  • The constraints cons can be any logical combination of:
  • lhs==rhs equations
    lhs>rhs, lhsrhs, lhs<rhs, lhsrhs inequalities (LessEqual ,)
    lhsrhs, lhsrhs, lhsrhs, lhsrhs vector inequalities (VectorLessEqual ,)
    Exists [], ForAll [] quantified conditions
    {x,y,}rdom region or domain specification
  • MinValue [{f,cons},xrdom] is effectively equivalent to MinValue [{f,consxrdom},x].
  • For xrdom, the different coordinates can be referred to using Indexed [x,i].
  • Possible domains rdom include:
  • Reals real scalar variable
    Integers integer scalar variable
    Vectors [n,dom] vector variable in
    Matrices [{m,n},dom] matrix variable in
    vector variable restricted to the geometric region
  • By default, all variables are assumed to be real.
  • MinValue will return exact results if given exact input. With approximate input, it automatically calls NMinValue .
  • MinValue will return the following forms:
  • fmin finite minimum
    infeasible, i.e. the constraint set is empty
    - unbounded, i.e. the values of f can be arbitrarily small
  • MinValue gives the infimum of values of f. It may not be attained for any values of x, y, .
  • N [MinValue[]] calls NMinValue for optimization problems that cannot be solved symbolically.

Examples

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Basic Examples  (5)

Find the minimum value of a univariate function:

Find the minimum value of a multivariate function:

Find the minimum value of a function subject to constraints:

Find the minimum value as a function of parameters:

Find the minimum value of a function over a geometric region:

Scope  (36)

Basic Uses  (7)

Minimize over the unconstrained reals:

Minimize subject to constraints :

Constraints may involve arbitrary logical combinations:

An unbounded problem:

An infeasible problem:

The infimum value may not be attained:

Use a vector variable and a vector inequality:

Univariate Problems  (7)

Unconstrained univariate polynomial minimization:

Constrained univariate polynomial minimization:

Exp-log functions:

Analytic functions over bounded constraints:

Periodic functions:

Combination of trigonometric functions with commensurable periods:

Combination of periodic functions with incommensurable periods:

Piecewise functions:

Unconstrained problems solvable using function property information:

Multivariate Problems  (9)

Multivariate linear constrained minimization:

Linear-fractional constrained minimization:

Unconstrained polynomial minimization:

Constrained polynomial optimization can always be solved:

The minimum value may not be attained:

The objective function may be unbounded:

There may be no points satisfying the constraints:

Quantified polynomial constraints:

Algebraic minimization:

Bounded transcendental minimization:

Piecewise minimization:

Convex minimization:

Minimize convex objective function such that is positive semidefinite and :

Plot the function and the minimum value over the region:

Parametric Problems  (4)

Parametric linear optimization:

The minimum value is a continuous function of parameters:

Parametric quadratic optimization:

The minimum value is a continuous function of parameters:

Unconstrained parametric polynomial minimization:

Constrained parametric polynomial minimization:

Optimization over Integers  (3)

Univariate problems:

Integer linear programming:

Polynomial minimization over the integers:

Optimization over Regions  (6)

Find the minimum value of a function over a geometric region:

Plot it:

Find the minimum distance between two regions:

Plot it:

Find the minimum such that the triangle and ellipse still intersect:

Plot it:

Find the minimum radius of a disk that contains the given three points:

Using Circumsphere gives the same result directly:

Use to specify that is a vector in :

Find the minimum distance between two regions:

Plot it:

Options  (1)

WorkingPrecision  (1)

Finding the exact minimum takes a long time:

With WorkingPrecision->100, the result is an exact minimum value, but it might be incorrect:

Applications  (9)

Basic Applications  (3)

Find the minimal perimeter among rectangles with a unit area:

Find the minimal perimeter among triangles with a unit area:

Find the distance to a parabola from a point on its axis:

Assuming a particular relationship between the and parameters:

Geometric Distances  (6)

The distance of a point p to a region is given by MinValue [EuclideanDistance [p,q],q]. Find the distance of {1,1} to the unit Disk []:

Plot it:

Find the distance of the point {1,3/4} to the standard unit simplex Simplex [2]:

Plot it:

Find the distance of the point {1,1,1} to the standard unit sphere Sphere []:

Plot it:

Find the distance of the point {-1/3,1/3,1/3} to the standard unit simplex Simplex [3]:

Plot it:

The distance between regions and can be found through MinValue [EuclideanDistance [p,q],{p,q}]. Find the distance between Disk [{0,0}] and Rectangle [{3,3}]:

Find the distance between Line [{{0,0,0},{1,1,1}}] and Ball [{5,5,0},1]:

Properties & Relations  (5)

Minimize gives both the value of the minimum and the minimizer point:

MinValue gives an exact global minimum value of the objective function:

NMinValue attempts to find a global minimum numerically, but may find a local minimum:

FindMinValue finds local minima depending on the starting point:

MinValue can solve linear programming problems:

LinearProgramming can be used to solve the same problem given in matrix notation:

Use RegionDistance to compute the minimum distance from a point to a region:

Compute the distance using MinValue :

Use RegionBounds to compute the bounding box:

Use MaxValue and MinValue to compute the same bounds:

Possible Issues  (1)

MinValue requires that all functions present in the input be real valued:

Values for which the equation is satisfied but the square roots are not real are disallowed:

Wolfram Research (2008), MinValue, Wolfram Language function, https://reference.wolfram.com/language/ref/MinValue.html (updated 2021).

Text

Wolfram Research (2008), MinValue, Wolfram Language function, https://reference.wolfram.com/language/ref/MinValue.html (updated 2021).

CMS

Wolfram Language. 2008. "MinValue." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2021. https://reference.wolfram.com/language/ref/MinValue.html.

APA

Wolfram Language. (2008). MinValue. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/MinValue.html

BibTeX

@misc{reference.wolfram_2025_minvalue, author="Wolfram Research", title="{MinValue}", year="2021", howpublished="\url{https://reference.wolfram.com/language/ref/MinValue.html}", note=[Accessed: 06-January-2026]}

BibLaTeX

@online{reference.wolfram_2025_minvalue, organization={Wolfram Research}, title={MinValue}, year={2021}, url={https://reference.wolfram.com/language/ref/MinValue.html}, note=[Accessed: 06-January-2026]}

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