milp-linear-variables function

An S4 class that represents a collection of variables

It will multiply the numeric vector with both the constant and the variable in 'LinearVariableSum'

It will multiply the numeric vector with both the constant and the variable in 'LinearVariableSum'

Equivalent to e1 + -1 * e2

Equivalent to (-1 * e2) - (-1 * e1)

Add two object of 'LinearVariableSum'. I.e. variables + constants

Equivalent to e1 + (-1) * e2

Adds the variables in the rhs to the variables in the lhs and returns another 'LinearVariableSum'.

Equivalent to e2 + e1

Equivalent to -1 * (e2 - e1)

Equivalent to e1 + -1 * e2

Adds a constant (rhs) to constant slot of the lhs object.

Equivalent to e2 + e1

Equivalent to e1 * (-1)

Equivalent to e1 * (-1)

Equivalent to e1

Equivalent to e1

Adds a constant numeric vector to a variable. The constant needs to be a vector of length 1.

Equivalent to e2 + e1

Equivalent to e1 + -1 * e2

Equivalent to (-1 * e2) - (-1 * e1)

Equivalent to e1 * (1 / e2)

Equivalent to e1 * (1 / e2)

Adds two variables together. Same values for variable, row and col will be added. Everything else merged.

Equivalent to e1 + -1 * e2

Multiplies the coefficients rowwise with a given numeric vector. If the numeric vector is a linear_transposed_vector, it will multiply the vector with each variable per row.

Equivalent to e2 * e1

This creates a new variable collection as a subset of the previously defined indexed variable. A variable collection essentially is a data frame having values for rows and columns of the final model matrix. class

## S4 method for signature 'LinearVariableSum,numeric'
e1 * e2

## S4 method for signature 'numeric,LinearVariableSum'
e1 * e2

## S4 method for signature 'LinearVariableSum,numeric'
e1 - e2

## S4 method for signature 'numeric,LinearVariableSum'
e1 - e2

## S4 method for signature 'LinearVariableSum,LinearVariableSum'
e1 + e2

## S4 method for signature 'LinearVariableSum,LinearVariableSum'
e1 - e2

## S4 method for signature 'LinearVariableSum,LinearVariableCollection'
e1 + e2

## S4 method for signature 'LinearVariableCollection,LinearVariableSum'
e1 + e2

## S4 method for signature 'LinearVariableCollection,LinearVariableSum'
e1 - e2

## S4 method for signature 'LinearVariableSum,LinearVariableCollection'
e1 - e2

## S4 method for signature 'LinearVariableSum,numeric'
e1 + e2

## S4 method for signature 'numeric,LinearVariableSum'
e1 + e2

## S4 method for signature 'LinearVariableSum,missing'
e1 - e2

## S4 method for signature 'LinearVariableCollection,missing'
e1 - e2

## S4 method for signature 'LinearVariableSum,missing'
e1 + e2

## S4 method for signature 'LinearVariableCollection,missing'
e1 + e2

## S4 method for signature 'LinearVariableCollection,numeric'
e1 + e2

## S4 method for signature 'numeric,LinearVariableCollection'
e1 + e2

## S4 method for signature 'LinearVariableCollection,numeric'
e1 - e2

## S4 method for signature 'numeric,LinearVariableCollection'
e1 - e2

## S4 method for signature 'LinearVariableCollection,numeric'
e1 / e2

## S4 method for signature 'LinearVariableSum,numeric'
e1 / e2

## S4 method for signature 'LinearVariableCollection,LinearVariableCollection'
e1 + e2

## S4 method for signature 'LinearVariableCollection,LinearVariableCollection'
e1 - e2

## S4 method for signature 'LinearVariableCollection,numeric'
e1 * e2

## S4 method for signature 'numeric,LinearVariableCollection'
e1 * e2

## S4 method for signature 'LinearVariableCollection,ANY,ANY,missing'
x[i, j, ..., drop = TRUE]

Arguments

• e1: a numeric value
• e2: an object of type 'LinearVariableCollection'
• x: an object of type 'LinearVariableCollection'
• i: a numeric vector or a colwise vector/list
• j: a numeric vector or a colwise vector/list
• ...: more a numeric vectors or a colwise vector/list
• drop: do not use this parameter

Returns

Returns an object of type 'LinearVariableSum'

Returns an object of type 'LinearVariableSum'

Returns an object of type 'LinearVariableSum'

an object of type 'LinearVariableSum'

a new object of type 'LinearVariableCollection'

Slots

• variables: a data frame hold the variable coefficients. One line for reach variable, row and column.
• index_mapping: a function that takes a variable name as character and returns a mapping table that maps column ids to variable indexes.
• variable: a linear variable collection with just one index '1'
• constant: a numeric vector
• variables: a variable collection

Examples

## Not run:

# vectors create matrix rows
# x[1, 1]
# x[2, 1]
# x[3, 1]
x[1:3, 1]

# colwise() creates columns per row
# 1 * x[1, 1] + 2 * x[1, 2] + 3 * x[1, 3]
colwise(1, 2, 3) * x[1, colwise(1, 2, 3)]

# you can also combine the two
# x[1, 1]
# x[2, 1] + x[2, 2]
# x[3, 1] + x[3, 2] + x[3, 2]
x[1:3, colwise(1, 1:2, 1:3)]
## End(Not run)