mathjs
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Math.js is an extensive math library for JavaScript and Node.js. It features a flexible expression parser with support for symbolic computation, comes with a large set of built-in functions and constants, and offers an integrated solution to work with dif
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JavaScript
function factory (type, config, load) {
const csDfs = load(require('./csDfs'))
const csMarked = load(require('./csMarked'))
const csMark = load(require('./csMark'))
/**
* The csReach function computes X = Reach(B), where B is the nonzero pattern of the n-by-1
* sparse column of vector b. The function returns the set of nodes reachable from any node in B. The
* nonzero pattern xi of the solution x to the sparse linear system Lx=b is given by X=Reach(B).
*
* @param {Matrix} g The G matrix
* @param {Matrix} b The B matrix
* @param {Number} k The kth column in B
* @param {Array} xi The nonzero pattern xi[top] .. xi[n - 1], an array of size = 2 * n
* The first n entries is the nonzero pattern, the last n entries is the stack
* @param {Array} pinv The inverse row permutation vector
*
* @return {Number} The index for the nonzero pattern
*
* Reference: http://faculty.cse.tamu.edu/davis/publications.html
*/
const csReach = function (g, b, k, xi, pinv) {
// g arrays
const gptr = g._ptr
const gsize = g._size
// b arrays
const bindex = b._index
const bptr = b._ptr
// columns
const n = gsize[1]
// vars
let p, p0, p1
// initialize top
let top = n
// loop column indeces in B
for (p0 = bptr[k], p1 = bptr[k + 1], p = p0; p < p1; p++) {
// node i
const i = bindex[p]
// check node i is marked
if (!csMarked(gptr, i)) {
// start a dfs at unmarked node i
top = csDfs(i, g, top, xi, pinv)
}
}
// loop columns from top -> n - 1
for (p = top; p < n; p++) {
// restore G
csMark(gptr, xi[p])
}
return top
}
return csReach
}
exports.name = 'csReach'
exports.path = 'algebra.sparse'
exports.factory = factory