# RankedMin

RankedMin[list,n]

gives the n smallest element in list.

RankedMin[list,-n]

gives the n largest element in list.

# Details • RankedMin yields a definite result if all its arguments are real numbers.
• RankedMin[{x1,,xm},n] is often indicated using or .
• RankedMin[{x1,,xm},1] is equivalent to Min[{x1,,xm}].
• RankedMin[{x1,,xm},-1] is equivalent to Max[{x1,,xm}].
• RankedMin[{x1,,xm},m] is equivalent to Max[{x1,,xm}].
• RankedMin[{x1,,xm},n] is equivalent to Quantile[{x1,,xm},n/m].

# Examples

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## Basic Examples(3)

The second smallest of three numbers:

The third smallest of four numbers:

Plot the second-largest function over a subset of the reals:

## Scope(17)

### Numerical Evaluation(4)

Evaluate the second smallest of three numbers:

The fourth smallesti.e. the largestof four numbers:

The second largest of five numbers:

The fourth largest of five numbers:

The fifth largesti.e. the smallestof five numbers:

Evaluate to high precision:

Evaluate efficiently at high precision:

### Specific Values(4)

Values at infinity:

Evaluate symbolically:

Solve equations and inequalities:

Find a value of for which the RankedMin[{Sin[x],Cos[x],Exp[x]},2]1:

### Visualization(3)

Plot RankedMin of several functions:

Plot RankedMin in three dimensions:

Plot RankedMin of three functions in three dimensions:

### Function Properties(3)

RankedMin is only defined for real-valued inputs: The range of RankedMin is real numbers:

Basic symbolic simplification is done automatically:

### Integration(3)

Series expansion of the second-smallest function at the origin:

Asymptotic expansion at Infinity:

Integrate expressions involving RankedMin:

## Applications(7)

Plot the bivariate RankedMin functions:

Plot the contours of bivariate and trivariate RankedMin functions:

RankedMin[{y1,,yn,x},k] as a function of x:

Compute the expectation of the second smallest (median) variable:

Alternatively, use OrderDistribution:

Compute the probability of the second smallest variable being less than 1:

Show that OrderDistribution is a special case of TransformedDistribution:

Find the height of the third shortest child in a class:

## Properties & Relations(6)

RankedMin[{x1,,xn},1] is equivalent to Min[x1,,xn]: »

RankedMin[{x1,,xn},n] is equivalent to Max[x1,,xn]: »

RankedMin[{x1,,xn},k] is equivalent to RankedMax[{x1,,xn},n-k+1]:

RankedMin[{x1,,xn},m] is equivalent to Quantile[{x1,,xn},m/n]: »

RankedMin[{x1,,xn},k] is equivalent to Sort[{x1,,xn}]k:

The equivalent Piecewise function has disjoint piecewise case domains:

Algebraically prove the piecewise case domains are disjoint:

Visually show it:

Algebraically prove the piecewise case domains are pairwise disjoint:

Visually show it:

## Neat Examples(2)

Two-dimensional sublevel sets:

Three-dimensional sublevel sets:

Introduced in 2010
(8.0)
|
Updated in 2017
(11.1)