Honor lower-triangle contract for H in mju_boxQP.
mju_boxQP documents that only the lower triangle of the Hessian H is read, but the gradient and search-direction updates inside mju_boxQPoption still called the dense mju_mulMatVec, which reads the upper triangle as well. This violated the documented contract and prevented callers from safely leaving the upper triangle uninitialized. Add a file-local mulMatVecSym helper that computes res = H*vec while reading only the lower triangle of H (mirroring the convention of the existing mulVecMatVecSym quadratic-form helper), and use it in place of mju_mulMatVec in both call sites. Extend the BoxQP test suite with UpperTrianglePoisoned, which fills the strict upper triangle of H with NaN and verifies that the solver produces the same result as on the clean symmetric input. Reported by @lshdlut. Fixes #3275
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@@ -1407,6 +1407,21 @@ static mjtNum mulVecMatVecSym(const mjtNum* vec, const mjtNum* mat, int n) {
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}
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// multiply symmetric matrix with vector: res = mat*vec
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// assumes symmetry of mat, ignores upper triangle
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// res must not alias vec
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static void mulMatVecSym(mjtNum* res, const mjtNum* mat, const mjtNum* vec, int n) {
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for (int i=0; i < n; i++) {
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// diagonal + strict lower triangle: res[i] = sum_{j<=i} mat[i,j] * vec[j]
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res[i] = mat[n*i+i] * vec[i] + mju_dot(mat+n*i, vec, i);
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// strict upper mirror contribution: res[k] += mat[i,k] * vec[i] for k < i
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for (int k=0; k < i; k++) {
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res[k] += mat[n*i+k] * vec[i];
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}
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}
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}
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// minimize 0.5*x'*H*x + x'*g s.t. lower <= x <=upper, explicit options
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// additional arguments to mju_boxQP (see mju_boxQP documentation):
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// maxiter maximum number of iterations
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@@ -1512,7 +1527,7 @@ int mju_boxQPoption(mjtNum* res, mjtNum* R, int* index, // outputs
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oldvalue = value;
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// compute gradient
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mju_mulMatVec(grad, H, res, n, n);
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mulMatVecSym(grad, H, res, n);
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mju_addTo(grad, g, n);
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// find clamped dimensions
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@@ -1555,7 +1570,7 @@ int mju_boxQPoption(mjtNum* res, mjtNum* R, int* index, // outputs
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for (int i=0; i < n; i++) {
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temp[i] = clamped[i] ? res[i] : 0;
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}
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mju_mulMatVec(search, H, temp, n, n);
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mulMatVecSym(search, H, temp, n);
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mju_addTo(search, g, n);
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// search = compress_free(search)
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@@ -19,6 +19,7 @@
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#include <cstddef>
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#include <iomanip>
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#include <iostream>
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#include <limits>
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#include <random>
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#include <string>
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#include <vector>
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@@ -228,6 +229,58 @@ TEST_F(BoxQPTest, AsymmetricUpperIgnored) {
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EXPECT_MJTNUM_EQ(res[1], lower[1]);
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}
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// verify mju_boxQP reads only the lower triangle of H by poisoning the upper
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// triangle with NaN and comparing to a clean symmetric solve (see issue #3275)
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TEST_F(BoxQPTest, UpperTrianglePoisoned) {
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int n = 30;
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const mjtNum nan = std::numeric_limits<mjtNum>::quiet_NaN();
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// allocate on heap
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mjtNum *H, *g, *lower, *upper; // inputs
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mjtNum *res, *R; // outputs
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int* index; // outputs
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mju_boxQPmalloc(&res, &R, &index, &H, &g, n, &lower, &upper);
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// generate a symmetric SPD Hessian and bounded QP problem
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randomBoxQP(n, H, g, lower, upper, /*seed=*/1);
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// solve with symmetric H to get the reference result
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mju_zero(res, n);
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int nfree_ref = mju_boxQP(res, R, index, H, g, n, lower, upper);
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ASSERT_GT(nfree_ref, -1);
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// save reference
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std::vector<mjtNum> res_ref(res, res + n);
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std::vector<int> index_ref(index, index + n);
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// poison the strict upper triangle of H with NaN
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for (int i=0; i < n; i++) {
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for (int j=i+1; j < n; j++) {
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H[n*i+j] = nan;
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}
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}
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// solve again; result must match because only lower triangle should be read
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mju_zero(res, n);
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int nfree_poisoned = mju_boxQP(res, R, index, H, g, n, lower, upper);
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EXPECT_EQ(nfree_poisoned, nfree_ref);
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for (int i=0; i < n; i++) {
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EXPECT_EQ(res[i], res_ref[i]) << "mismatch at index " << i;
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}
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for (int i=0; i < nfree_ref; i++) {
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EXPECT_EQ(index[i], index_ref[i]) << "index mismatch at " << i;
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}
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mju_free(res);
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mju_free(R);
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mju_free(index);
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mju_free(H);
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mju_free(g);
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mju_free(lower);
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mju_free(upper);
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}
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// test mju_boxQP on a single random bounded QP
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TEST_F(BoxQPTest, BoundedQP) {
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int n = 50; // problem size
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