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# Conflicts: # HISTORY.md # package-lock.json # package.json # src/expression/embeddedDocs/embeddedDocs.js # src/factoriesAny.js # src/function/special/erf.js # src/plain/number/probability.js # src/version.js
128 lines
4.8 KiB
JavaScript
128 lines
4.8 KiB
JavaScript
import assert from 'assert'
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import math from '../../../../src/defaultInstance.js'
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import approx from '../../../../tools/approx.js'
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const eigs = math.eigs
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describe('eigs', function () {
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it('should only accept a square matrix', function () {
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assert.throws(function () { eigs(math.matrix([[1, 2, 3], [4, 5, 6]])) }, /Matrix must be square/)
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assert.throws(function () { eigs([[1, 2, 3], [4, 5, 6]]) }, /Matrix must be square/)
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assert.throws(function () { eigs([[1, 2], [4, 5, 6]]) }, /DimensionError: Dimension mismatch/)
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assert.throws(function () { eigs([4, 5, 6]) }, /Matrix must be square/)
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assert.throws(function () { eigs(1.0) }, /TypeError: Unexpected type of argument/)
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assert.throws(function () { eigs('random') }, /TypeError: Unexpected type of argument/)
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assert.throws(function () { eigs(math.matrix([[1, 2], [2.1, 3]])) }, /Input matrix is not symmetric/)
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})
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it('should only accept a matrix with valid element type', function () {
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assert.throws(function () { eigs([['x', 2], [4, 5]]) }, /Mixed matrix element type is not supported/)
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assert.throws(function () { eigs([[1, 2], [2, '5']]) }, /Mixed matrix element type is not supported/)
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assert.throws(function () { eigs([['1', '2'], ['2', '5']]) }, /Matrix element type not supported/)
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})
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it('eigenvalue check for diagonal matrix', function () {
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// trivial test
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approx.deepEqual(eigs(
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[[1, 0], [0, 1]]).values, [1, 1]
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)
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approx.deepEqual(eigs(
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[[2, 0, 0], [0, 1, 0], [0, 0, 5]]).values, [1, 2, 5]
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)
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})
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it('eigenvalue check for 2x2 simple matrix', function () {
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// 2x2 test
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approx.deepEqual(eigs(
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[[1, 0.1], [0.1, 1]]).values, [0.9, 1.1]
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)
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approx.deepEqual(eigs(
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math.matrix([[1, 0.1], [0.1, 1]])).values, math.matrix([0.9, 1.1])
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)
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approx.deepEqual(eigs(
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[[5, 2.3], [2.3, 1]]).values, [-0.04795013082563382, 6.047950130825635]
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)
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})
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it('eigenvalue check for 3x3 and 4x4 matrix', function () {
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// 3x3 test and 4x4
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approx.deepEqual(eigs(
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[[1.0, 1.0, 1.0],
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[1.0, 1.0, 1.0],
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[1.0, 1.0, 1.0]]).values,
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[0, 0, 3]
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)
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approx.deepEqual(eigs(
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[[0.6163396801190624, -3.8571699139231796, 2.852995822026198, 4.1957619745869845],
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[-3.8571699139231796, 0.7047577966772156, 0.9122549659760404, 0.9232933211541949],
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[2.852995822026198, 0.9122549659760404, 1.6598316026960402, -1.2931270747054358],
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[4.1957619745869845, 0.9232933211541949, -1.2931270747054358, -4.665994662426116]]).values,
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[-8.687249803623432, -0.9135495807127523, 2.26552473288741, 5.6502090685149735]
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)
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})
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it('eigenvector check', function () {
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const H = [[-4.78, -1.0, -2.59, -3.26, 4.24, 4.14],
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[-1.0, -2.45, -0.92, -2.33, -4.68, 4.27],
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[-2.59, -0.92, -2.45, 4.17, -3.33, 3.05],
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[-3.26, -2.33, 4.17, 2.51, 1.67, 2.24],
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[4.24, -4.68, -3.33, 1.67, 2.80, 2.73],
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[4.14, 4.27, 3.05, 2.24, 2.73, -4.47]]
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const ans = eigs(H)
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const E = ans.values
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const V = ans.vectors
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const VtHV = math.multiply(math.transpose(V), H, V)
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const Ei = Array(H.length)
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for (let i = 0; i < H.length; i++) {
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Ei[i] = VtHV[i][i]
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}
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approx.deepEqual(Ei, E)
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})
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it('fractions are supported', function () {
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const aij = math.fraction('1/2')
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approx.deepEqual(eigs(
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[[aij, aij, aij],
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[aij, aij, aij],
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[aij, aij, aij]]).values,
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[0, 0, 1.5]
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)
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})
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it('bigNumber diagonalization is supported', function () {
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const x = [[math.bignumber(1), math.bignumber(0)], [math.bignumber(0), math.bignumber(1)]]
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approx.deepEqual(eigs(x).values, [math.bignumber(1), math.bignumber(1)])
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const y = [[math.bignumber(1), math.bignumber(1.0)], [math.bignumber(1.0), math.bignumber(1)]]
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const E1 = eigs(y).values
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approx.equal(E1[0].toNumber(), 0.0)
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approx.equal(E1[1].toNumber(), 2.0)
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const H = math.bignumber([[-4.78, -1.0, -2.59, -3.26, 4.24, 4.14],
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[-1.0, -2.45, -0.92, -2.33, -4.68, 4.27],
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[-2.59, -0.92, -2.45, 4.17, -3.33, 3.05],
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[-3.26, -2.33, 4.17, 2.51, 1.67, 2.24],
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[4.24, -4.68, -3.33, 1.67, 2.80, 2.73],
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[4.14, 4.27, 3.05, 2.24, 2.73, -4.47]])
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const ans = eigs(H)
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const E = ans.values
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const V = ans.vectors
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const VtHV = math.multiply(math.transpose(V), H, V)
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const Ei = Array(H.length)
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for (let i = 0; i < H.length; i++) {
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Ei[i] = math.bignumber(VtHV[i][i])
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}
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approx.deepEqual(Ei, E)
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})
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it('make sure BigNumbers input is actually calculated with BigNumber precision', function () {
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const B = math.bignumber([
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[0, 1],
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[1, 0]
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])
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const eig = math.eigs(B)
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assert.strictEqual(eig.values[0].toString(),
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'-0.9999999999999999999999999999999999999999999999999999999999999999')
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assert.strictEqual(eig.values[1].toString(),
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'0.9999999999999999999999999999999999999999999999999999999999999999')
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})
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})
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