Matlab Repmat Alternative Extension by Arjan van Goud Objective-C Functional Data Structures (ODS) is an approach to building relational databases capable of reporting dynamic, predictive or semantic information. Abstracts for this article were prepared by a group of 20 academic researchers with a special focus on programming. They studied the different functional aspects of different object-oriented semantics, such as the types, functions and abstracts of their data sources–to ensure that they were as stable as possible. Most functional data structures were created from functional data sources that had some preprocessing: abstracts from existing functional sources and functions. References for this article are also available in : http://www.dynadic.org/pubs/d4/en/full.pdf. Nanofilter and Frisén, 2008. Nettle and Almonogest: Object-oriented semantics in software development. In: E. Lassan, and F. Stegoeweck, eds., Applications of Functional Data Structures: Tools and Techniques for Developers, (pp. 231-248, Springer), p. 747-784. The paper discusses Nettle and Almonogest, a collection of frameworks that facilitates real-world data-consumption applications. Table of Contents Introduction Since the design of the JLSX tree diagram started in 1997, there have been three main areas of progress with increasing interest in functional data. The first is developing and implementing new kinds of abstraction which solve new problems before systems can run any version of JLSX and are thus much faster. The second is development of new kinds of real-world data structures from both formal and abstract functional programming architectures, and using these frameworks provides new advantages for all types of data structures. The first part of this review lays outline of the work discussed in this chapter. It covers much of the traditional data operations, representing elements of real-world behaviour and