Introduction to Unconstrained Optimization - Scilab
Introduction to Unconstrained Optimization - Scilab
Introduction to Unconstrained Optimization - Scilab
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
Index<br />
concave, 19<br />
cone, 17<br />
constraints, 6<br />
convex combination, 17<br />
convex cone, 18<br />
convex function, 18<br />
convex hull, 17<br />
convex sets, 16<br />
cost, 6<br />
feasible, 6<br />
Hessian, 6<br />
Jensen’s inequality, 19<br />
level set, 9<br />
objective, 6<br />
Rosenbrock H.H., 7, 9<br />
saddle point, 30<br />
strong global minimum, 13<br />
strong local minimum, 13<br />
Taylor expansions, 15<br />
weak local minimum, 13<br />
42
Change language