| Review: |
Useful information is contained in the derivatives of any function that one wants to optimise. The ‘standard’ mathematical characterisations of a local minimum requires the first-order derivatives to be zero. However not all the derivatives are always available or they mat be unreliable. In such circumstances it is necessary to carry out optimisation. A class of nonlinear optimisation techniques called derivative-free optimisation methods are required. This book gives a comprehensive treatment of optimisation without derivatives, covering most of relevant classes of algorithms from direct-search to model-based approaches. It is intended for chemical, mechanical, aeronautical and electrical engineers etc. who use optimisation in problems where derivatives are difficult or impossible to obtain. |