something strange with test 2, my implementation fails on this test (because two iterations take me considerably closer to the minimum), perhaps this is something to do with the different forms of linesearch we are using?
Test case 2 is changed to account for your subsequent comment and to also to be far enough away from the solution so that it cannot converge in 2 iterations.
Test case 2 still have problems, I have implemented the Fletcher-Reeves Conjugate Gradient Method from 1964, and it got rejected at the 2nd test. I believe the problem is that you are requesting precision from the approximation of an approximation. And this can only be done when we are very close to the solution. Test 1 seems to have the right precision for 1 iteration.
Knight's Tour Checker
Vectorizing, too easy or too hard?
Create a square matrix of multiples
Augmented Lagrange Multiplier (ALM) Method
Sequential Unconstrained Minimization (SUMT) using Exterior Penalty
Free Fall analytical solution (Chapra 2012 textbook Example 1.1)
Composite Trapezoidal Rule for Numeric Integration
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