mirror of
https://github.com/josdejong/mathjs.git
synced 2025-12-08 19:46:04 +00:00
103 lines
3.3 KiB
JavaScript
103 lines
3.3 KiB
JavaScript
// Only use native node.js API's and references to ./lib here, this file is not transpiled!
|
|
const approx = require('../../../../../tools/approx')
|
|
const math = require('../../../../../lib/bundleAny')
|
|
const { csPermute } = require('../../../../../lib/function/algebra/sparse/csPermute')
|
|
const { createCsLu } = require('../../../../../lib/function/algebra/sparse/csLu')
|
|
const { createCsSqr } = require('../../../../../lib/function/algebra/sparse/csSqr')
|
|
const market = require('../../../../../tools/matrixmarket')
|
|
|
|
const { abs, add, divideScalar, multiply, subtract, larger, largerEq, transpose, SparseMatrix } = math
|
|
|
|
const csLu = createCsLu({ abs, divideScalar, multiply, subtract, larger, largerEq, SparseMatrix })
|
|
const csSqr = createCsSqr({ add, multiply, transpose })
|
|
|
|
describe('csLu', function () {
|
|
it('should decompose matrix, 48 x 48, natural ordering (order=0), full pivoting, matrix market', function (done) {
|
|
// import matrix
|
|
market.import('tools/matrices/bcsstk01.mtx')
|
|
.then(function (m) {
|
|
// symbolic ordering and analysis, order = 0
|
|
const s = csSqr(0, m, false)
|
|
|
|
// full pivoting
|
|
const r = csLu(m, s, 0.001)
|
|
|
|
// verify
|
|
approx.deepEqual(csPermute(m, r.pinv, s.q, true).valueOf(), math.multiply(r.L, r.U).valueOf())
|
|
|
|
// indicate test has completed
|
|
done()
|
|
})
|
|
.catch(function (error) {
|
|
// indicate test has completed
|
|
done(error)
|
|
})
|
|
})
|
|
|
|
it('should decompose matrix, 48 x 48, amd(A+A\') (order=1), full pivoting, matrix market', function (done) {
|
|
// import matrix
|
|
market.import('tools/matrices/bcsstk01.mtx')
|
|
.then(function (m) {
|
|
// symbolic ordering and analysis, order = 1
|
|
const s = csSqr(1, m, false)
|
|
|
|
// full pivoting
|
|
const r = csLu(m, s, 0.001)
|
|
|
|
// verify
|
|
approx.deepEqual(csPermute(m, r.pinv, s.q, true).valueOf(), math.multiply(r.L, r.U).valueOf())
|
|
|
|
// indicate test has completed
|
|
done()
|
|
})
|
|
.catch(function (error) {
|
|
// indicate test has completed
|
|
done(error)
|
|
})
|
|
})
|
|
|
|
it('should decompose matrix, 48 x 48, amd(A\'*A) (order=2), full pivoting, matrix market', function (done) {
|
|
// import matrix
|
|
market.import('tools/matrices/bcsstk01.mtx')
|
|
.then(function (m) {
|
|
// symbolic ordering and analysis, order = 2
|
|
const s = csSqr(2, m, false)
|
|
|
|
// full pivoting
|
|
const r = csLu(m, s, 0.001)
|
|
|
|
// verify
|
|
approx.deepEqual(csPermute(m, r.pinv, s.q, true).valueOf(), math.multiply(r.L, r.U).valueOf())
|
|
|
|
// indicate test has completed
|
|
done()
|
|
})
|
|
.catch(function (error) {
|
|
// indicate test has completed
|
|
done(error)
|
|
})
|
|
})
|
|
|
|
it('should decompose matrix, 48 x 48, amd(A\'*A) (order=3), full pivoting, matrix market', function (done) {
|
|
// import matrix
|
|
market.import('tools/matrices/bcsstk01.mtx')
|
|
.then(function (m) {
|
|
// symbolic ordering and analysis, order = 3
|
|
const s = csSqr(3, m, false)
|
|
|
|
// full pivoting
|
|
const r = csLu(m, s, 0.001)
|
|
|
|
// verify
|
|
approx.deepEqual(csPermute(m, r.pinv, s.q, true).valueOf(), math.multiply(r.L, r.U).valueOf())
|
|
|
|
// indicate test has completed
|
|
done()
|
|
})
|
|
.catch(function (error) {
|
|
// indicate test has completed
|
|
done(error)
|
|
})
|
|
})
|
|
})
|