Genetic algorithms (GA) have become popular tools for search, optimization, machine learning, and solving design problems. These algorithms use sim...

This book provides a primer in inequalities in applied probability theory & statistics. It is intended to be useful to both graduate students a...

Inequality Theory & Applications

The aim of this volume is to introduce and exchange recent new topics in the areas of probability theory and applications in inequality theory, sto...

This book examines new topics in the areas of fixed point theory, variational inequality and complementarity problem theory, non-linear ergodic the...

The aim of this volume is to introduce and exchange recent new topics on the areas of inequality theory and their applications dealing in pure and ...

The aim of this volume is to introduce and exchange recent new topics on the areas of inequality theory and their applications dealing in pure and ...

This book introduces and exchanges recent innovative topics on the areas of fixed point theory, convex and set-valued analysis, variational inequal...

Unleash the power of Julia for your machine learning tasks. We reveal why Julia is chosen for more and more data science and machine learning proje...

Chapters: The Physical Meaning of Poincaré Massless Representations; Massless Representations; Massless Fields are Different; How to Couple Massles...

Computers have taken a permanent place in almost every human endeavor in the last 20 years. This infiltration requires a learning process on the pa...

This monograph presents smooth, unified, and generalized fractional programming problems, particularly advanced duality models for discrete min-max...

In this book, generally speaking, some properties of bitopological spaces generated by certain non-symmetric functions are studied. These functions...

This book is a collective work made by various authors well-recognised owing to their appreciable contributions to the theory and applications of p...

In probability theory, a stochastic process, or often random process, is a collection of random variables representing the evolution of some system...

A statistical model embodies a set of assumptions concerning the generation of the observed data, and similar data from a larger population. A mode...

Probability theory is the branch of mathematics concerned with probability, the analysis of random phenomena. The central objects of probability th...

Probability is the measure of the likelihood that an event will occur. Probability is quantified as a number between 0 and 1 (where 0 indicates imp...

Computers have taken a permanent place in almost every human endeavour in the last 20 years. This infiltration requires a learning process on the p...

Studies on queueing models and their publication in professional journals and textbooks have been sparse over the past eleven decades. Collections ...

Researchers in all disciplines are becoming increasingly aware of the importance of experimental designs and statistical methods in their investiga...

The ordered random variables play important roles in the theory and practice of statistics. They possess significant statistical properties. Over t...

This book concerns itself with record values and branching processes as rich research areas of applied probability and statistics. Over the last fe...

This book makes a significant contribution to the advancement of statistical science. It contains research in many statistical designs, compares ma...