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_parse_linprog(lp, options, meth)

_parse_linprog employs two main steps _check_sparse_inputs and _clean_inputs . _check_sparse_inputs checks for sparsity in the provided constraints ( A_ub and ``A_eq) and if these match the provided sparsity optional values.

_clean inputs checks of the provided inputs. If no violations are identified the objective vector, upper bound constraints, equality constraints, and simple bounds are returned in the expected format.

Parameters

lp : A `scipy.optimize._linprog_util._LPProblem` consisting of the following fields:

c

c

A_ub

A_ub

b_ub

b_ub

A_eq

A_eq

b_eq

b_eq

bounds

bounds

x0

x0

options : dict

A dictionary of solver options. All methods accept the following generic options:

maxiter

maxiter

disp

disp

For method-specific options, see show_options('linprog') .

Returns

lp : A `scipy.optimize._linprog_util._LPProblem` consisting of the following fields:

c

c

A_ub

A_ub

b_ub

b_ub

A_eq

A_eq

b_eq

b_eq

bounds

bounds

x0

x0

options : dict, optional

A dictionary of solver options. All methods accept the following generic options:

maxiter

maxiter

disp

disp

For method-specific options, see show_options('linprog') .

Parse the provided linear programming problem

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /scipy/optimize/_linprog_util.py#896
type: <class 'function'>
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