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Designed as an upper-level textbook in computational physics or as a supplement for theoretical physics courses. Uses programs in Mathematica and C to solve problems in ...

Mathematica software system is used to solve the problem considered by Jambunathan et al. (Int. J. Heat Mass Transfer 1996; 39: 2329-2332), where a neural network is applied ...

A probability Denisty Functional Transform(DFT) is created from the past years stock price chart and the day to day ratios of price magnitude to allow us to estimate ...

The book introduces the latest methods and algorithms developed in machine and deep learning (hybrid symbolic-numeric computations, robust statistical techniques for ...

When nonlinear models are fitted to data it is important to make sure that the data is not overfitted. The reason for this is that many possible model structures, all with ...

Nobody expected this—not even its creators: ChatGPT has burst onto the scene as an AI capable of writing at a convincingly human level. But how does it really work? ...

Technological Trends in Computation and Informatics gathers the studies of professors that work with research and in the commercial sector, the book focuses on subjects that ...

This pioneering book presents a study of the interrelationships among operator calculus, graph theory, and quantum probability in a unified manner, with significant emphasis ...

This book provides an introduction to the theory of dynamical systems with the aid of the Mathematica computer algebra package. The book has a very hands-on approach and ...

The efficiency of the application of soft computing methods like Artificial Neural Networks (ANN) or Support Vector Machines (SVM) depends considerably on the ...