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📚 docs(blossom): Move doc string above function definition.
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src/core/blossom/blossom.js

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@@ -31,6 +31,26 @@ export default function blossom(CHECK_OPTIMUM, CHECK_DELTA) {
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// Check optimality of solution before returning; only works on integer weights.
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if (CHECK_OPTIMUM === undefined) CHECK_OPTIMUM = true;
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/**
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* Compute a maximum-weighted matching in the general undirected
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* weighted graph given by "edges". If "maxCardinality" is true,
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* only maximum-cardinality matchings are considered as solutions.
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*
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* Edges is a sequence of tuples (i, j, wt) describing an undirected
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* edge between vertex i and vertex j with weight wt. There is at most
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* one edge between any two vertices; no vertex has an edge to itthis.
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* Vertices are identified by consecutive, non-negative integers.
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*
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* Return a list "mate", such that mate[i] === j if vertex i is
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* matched to vertex j, and mate[i] === -1 if vertex i is not matched.
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*
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* This function takes time O(n^3)
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*
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* @param {Array} edges
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* @param {Boolean} maxCardinality
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* @return {Array}
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*/
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const maxWeightMatching = function (edges, maxCardinality = false) {
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let i;
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let j;
@@ -39,23 +59,6 @@ export default function blossom(CHECK_OPTIMUM, CHECK_DELTA) {
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let w;
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let length;
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/**
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*
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* Compute a maximum-weighted matching in the general undirected
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* weighted graph given by "edges". If "maxCardinality" is true,
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* only maximum-cardinality matchings are considered as solutions.
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*
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* Edges is a sequence of tuples (i, j, wt) describing an undirected
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* edge between vertex i and vertex j with weight wt. There is at most
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* one edge between any two vertices; no vertex has an edge to itthis.
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* Vertices are identified by consecutive, non-negative integers.
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*
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* Return a list "mate", such that mate[i] === j if vertex i is
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* matched to vertex j, and mate[i] === -1 if vertex i is not matched.
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*
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* This function takes time O(n ** 3){
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*/
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//
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// Vertices are numbered 0 .. (nvertex-1).
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// Non-trivial blossoms are numbered nvertex .. (2*nvertex-1)

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