Bøker av Ivan Stanimirovic

Explains two pillars quantum mechanics: particle exchange energy at integer multiples of a minimum possible, denominating, quantum (quantum) of energy; the position of the particles are defined by a function that describes the probability that the particle is in that position at that moment.

Investigates changes to the world brought about by the use of Artificial Intelligence and Machine Learning. The book explores the impact of artificial intelligence on everyday life, emphasizing technologies such as Artificial Intelligence, Machine Learning and Deep Learning.

Presents preliminary knowledge on mathematics. The book covers iteration functions, fixed points and other kinds of sets in the mathematics. Also discussed is the Baker theorem for the complexity invariant components in the set of Fatou, and mathematical analysis of significant transformations.

Presents various artificial neural networks (ANN) and the topologies related to main neural networks (MNN). The book throws light on the prospect of artificial intelligence and the applications it has in risk management.

Discusses a type of computation - ""parallel programming"" - and the parallel algorithm designed by the technique ""PCAM"". The book provides an understanding of parallel programing so as to analyse the differences in modular programming, recursive programming and dynamic programming, and Turing's Hypothesis.

Discusses the important theoretical concepts such as the Amortization System Constant, French System of Price Amortization, comparative analysis of these methods and American System of Amortization which provide a basic understanding of the correlation and regression analysis.

Provides an introduction to graph theory and related applications. The book explains the various computational complexities and the methodologies to solve the problems using NP/P graphs. Also discussed are the theoretical applications of graphs, the role of graphs in education, and the application of graph theory in the recognition of language.

Examines the relation between neural networks and soft computing. A neural network is a system of hardware and software designed after the operations of neurons. Applied neural networks have a plethora of applications and the text tries to touch every aspect to give readers a wider perspective.

Examines various aspects of simulations, including an extensive overview of computational and numerical simulations. The book includes an introduction to system dynamics simulations, implementation of system dynamics for urban planning in a municipality, and dynamic integrated framework for improving software processes.

Explores various aspects of Fuzzy logic, including an extensive overview of hybrid algorithms, techniques and implementations. The book includes definitions of evolutionary computation and fuzzy systems, ideologies and strategies.

Presents the theory of random variables along with some practical skills to analyse various stochastic dynamical systems in economics, engineering and other fields. Coverage includes the most appropriate process for modelling in particular situations arising in economics, engineering and other fields.