Run results for: Solving System of Linear Equations with Matrix v2

Run details:

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36

Browser: Chrome 131

Operating system: Windows

Device Platform: Desktop

Date tested: one year ago

Benchmark engine: Benchmark.js

jStat

2.4M/s

Numeric JS (LU Decomposed first)

1.4M/s

Numeric JS (uses LUsolve under the hood)

931K/s

math.js (LU Decomposed first)

840K/s

math.js

464K/s

View exact numbers

Test name	Executions per second
✓ jStat	2,358,602 Ops/sec
Numeric JS (LU Decomposed first)	1,385,990 Ops/sec
Numeric JS (uses LUsolve under the hood)	930,884 Ops/sec
math.js (LU Decomposed first)	839,937 Ops/sec
math.js	464,471 Ops/sec

HTML Preparation code:

<!-- JStat -->
<script src="https://cdn.jsdelivr.net/jstat/latest/jstat.min.js"></script>
<!-- NumericJS -->
<script src="https://cdn.rawgit.com/sloisel/numeric/master/src/numeric.js"></script>
<!-- Math.js -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjs/3.9.0/math.min.js"></script>

Script Preparation code:

var A = [[11, -1, 0], [-1, 12, -1], [0, -1, 11]],
    B = [[87], [12] , [0]];

var Numeric_LUa = numeric.LU(A),
    math_LUa = math.lup(A);

Tests:

jStat
jStat.gauss_elimination(A, B);
Numeric JS (uses LUsolve under the hood)
numeric.solve(A, B);
Numeric JS (LU Decomposed first)
numeric.LUsolve(Numeric_LUa, B);
math.js
math.lusolve(A, B);
math.js (LU Decomposed first)
math.lusolve(math_LUa, B);