A lot of literature including references is presented in this part. This part also contains the basic results of the theory of measurable selection. This theory in fact preceded the theory of continuous selections. The uniformization problem in the descriptive set theory is, in fact, a kind of selection problem. The basic results of uniformization theory, for example, the theorem of P. S. Novikov, are included in the book.
Measurable selections arise in the book in connection with differential inclusions.
The last paragraph of the book is devoted to differential inclusions. So the book may be used as introduction to this theory. The concept of convexity plays an essential role in the theory of continuous selections, and a lot of the material of the book is devoted to convexity and related topics. So the book can be a source for study of functors of probabilistic measures. The probabilistic measures and Milutin mappings appear in the first part where they are applied to deduce convex selection theorem in the 0-dimensional case.