algorithm/AutomaticDifferentiation
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chore: 添加散度

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mayge
2026-04-07 17:16:29 +08:00
parent 40feeabb79
commit 11e97c545a
5 changed files with 44 additions and 0 deletions
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6
tests/test_forward.cpp
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@@ -21,16 +21,22 @@ int test_forward_ad() {
auto r = forwardad::diff(f1, 2.0);
std::cout << "value = " << r.value << "\n";
std::cout << "grad = " << r.gradient[0] << "\n";
std::cout << "div = " << r.divergence << "\n";
std::cout << "curl = " << r.curl[0] << "\n";
std::cout << "\nTesting g(x,y) = exp(x)*log(y) at (x,y)=(1.0, 2.0)\n";
auto r2 = forwardad::diff(g1, 1.0, 2.0);
std::cout << "value = " << r2.value << "\n";
std::cout << "grad = (" << r2.gradient[0] << ", " << r2.gradient[1] << ")\n";
std::cout << "div = " << r2.divergence << "\n";
std::cout << "curl = (" << r2.curl[0] << ", " << r2.curl[1] << ")\n";
std::cout << "\nTesting h(x,y,z) = x^3 + y^2 + z + cos(x*y*z) at (x,y,z)=(1.0, 2.0, 3.0)\n";
auto r3 = forwardad::diff(h1, 1.0, 2.0, 3.0);
std::cout << "value = " << r3.value << "\n";
std::cout << "grad = (" << r3.gradient[0] << ", " << r3.gradient[1] << ", " << r3.gradient[2] << ")\n";
std::cout << "div = " << r3.divergence << "\n";
std::cout << "curl = (" << r3.curl[0] << ", " << r3.curl[1] << ", " << r3.curl[2] << ")\n";
return 0;
}