feat: vendor midstream and sublinear-time-solver libraries

Add ruvnet/midstream (AIMDS real-time inference) and
ruvnet/sublinear-time-solver (sublinear optimization algorithms)
as vendored dependencies under vendor/.

Co-Authored-By: claude-flow <ruv@ruv.net>

vendor/sublinear-time-solver/tests/test-large-matrix.js

@@ -0,0 +1,40 @@
+// Create a larger diagonally dominant matrix to test TRUE O(log n) algorithms
+import fs from 'fs';
+
+const n = 200; // Large enough to trigger JL dimension reduction
+const values = [];
+const rowIndices = [];
+const colIndices = [];
+
+// Create a tridiagonal diagonally dominant matrix
+for (let i = 0; i < n; i++) {
+    // Diagonal element
+    values.push(4.0);
+    rowIndices.push(i);
+    colIndices.push(i);
+
+    // Off-diagonal elements
+    if (i > 0) {
+        values.push(-1.0);
+        rowIndices.push(i);
+        colIndices.push(i - 1);
+    }
+    if (i < n - 1) {
+        values.push(-1.0);
+        rowIndices.push(i);
+        colIndices.push(i + 1);
+    }
+}
+
+const matrix = { values, rowIndices, colIndices, rows: n, cols: n };
+const vector = new Array(n).fill(1.0);
+
+console.log('Matrix size:', n);
+console.log('Expected JL dimension:', Math.ceil(Math.log2(n) * 8));
+console.log('Matrix entries:', values.length);
+console.log('Test data created successfully');
+
+// Export for use with MCP tools
+const testData = { matrix, vector, n };
+fs.writeFileSync('/tmp/large-matrix-test.json', JSON.stringify(testData, null, 2));
+console.log('Test data saved to /tmp/large-matrix-test.json');