Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with high-speed execution using finite computational resources. Therefore, there have...

​By investigating the properties of the natural state, this book presents an analysis of input-output systems with regard to the mathematical concept of state. The state of a system condenses the effects of past inputs to the system in a useful manner. This monograph emphasizes two main properties of the natural state; the...

In this second volume the following topics are treated: Solvability of...

This book...

Introduction to Differential Calculus fully engages readers by presenting the fundamental theories and methods of differential calculus and then showcasing how the discussed concepts can be...

This book teaches readers the clinical skills residents in neurology have to acquire in the course of their training, and approaches neurology like a doctor approaches a patient: first there is a chapter on how to perform an efficient neurological history according to neuroanatomical key features, then a chapter on the bedside examination,...

The new textbook, “Dermoscopy: An Illustrated Self-Assessment Guide” by Dr. Robert H. Johr and Prof. Wilhelm Stolz, is a welcome addition to the evolving world of dermoscopic knowledge. I have reviewed all of the images and the text and feel that the contributions are indeed unique. First of all, the exquisite nature of the...

Although neural modeling has a long history, most of the texts available on the subject are quite limited in scope, dealing primarily with the simulation of large-scale biological neural networks applicable to describing brain function. Introduction to Dynamic Modeling of Neuro-Sensory Systems presents the mathematical tools and methods that...