hessian

• symmetric, so eigenvalues are always real (see eigenvectors)
• negative eigenvalues – concave down
• positive eigenvalues – concave up
• mixed – saddle point
• see https://web.stanford.edu/group/sisl/k12/optimization/MO-unit4-pdfs/4.10applicationsofhessians.pdf