This textbook provides all tools required to easily solve intertemporal optimization problems in economics, finance, business administration and related disciplines. The focus of this textbook is on 'learning through examples': an example is worked out first and the mathematical principles are explained later. It gives a very quick access to all methods required by a Bachelor, Master or a PhD student, and an experienced researcher who wants to explore new fields or confirm existing knowledge. Given that discrete and continuous time problems are given equal attention, insights gained in one area can be used to learn solution methods more quickly in other contexts. This step-by-step approach is especially useful for the transition from deterministic to stochastic worlds. When it comes to stochastic methods in continuous time, the applied focus of this book is the most useful. Formulating and solving problems under continuous time uncertainty has never been explained in such a non-technical and highly accessible way. The book is completed by an extensive index which helps finding topics of interest very quickly.
