This volume in the SpringerBriefs in Energy series offers a systematic review of unit commitment (UC) problems in electrical power generation. It updates texts written in the late 1990s and early 2000
This book is the first systematic exposition on the emerging domain of wireless power transfer in ad hoc communication networks. It selectively spans a coherent, large spectrum of fundamental aspects
PHP Programming Like a PRO! “ this book makes it super easy to understand what you are doing and it is super easy to follow. “- Emily White, from Amazon.com “ This book… was actually one of the best P
Presenting a theory of the theoryless, a computer scientist provides a model of how effective behavior can be learned even in a world as complex as our own, shedding new light on human nature.
Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifiers from examples. The approach combines
In this book the rapidly developing field of Interior Point Methods (IPMs) is described.An extensive analysis of so-called path-following methods for linear programming, quadratic programming and conv
Automated facial recognition algorithms are increasingly intervening in society. This book offers a unique analysis of these algorithms from a critical visual culture studies perspective. The first pa
This book examines the intelligent random walk algorithms based on learning automata: these versions of random walk algorithms gradually obtain required information from the nature of the application
We live in a world in which Google's search algorithms determine how we access information, Facebook's News Feed algorithms shape how we socialize, and Netflix collaborative filtering algorithms choos
We live in a world in which Google's search algorithms determine how we access information, Facebook's News Feed algorithms shape how we socialize, and Netflix collaborative filtering algorithms choos
This book explores recursive architectures in designing progressive hyperspectral imaging algorithms. In particular, it makes progressive imaging algorithms recursive by introducing the concept of Kal
This book proposes new algorithms to ensure secured communications and prevent unauthorized data exchange in secured multimedia systems. Focusing on numerous applications’ algorithms and scenarios, it
Explore clustering algorithms used with Apache MahoutAbout This BookUse Mahout for clustering datasets and gain useful insightsExplore the different clustering algorithms used in day-to-day workA prac
This book provides a computational perspective on partial order and lattice theory, focusing on algorithms and their complexity.Examines; posets, Dilworth’s theorem, merging algorithms, lattices, latt
This graduate level textbook provides a coherent introduction to the body of main-stream algorithms used in electromagnetic brain imaging, with specific emphasis on novel Bayesian algorithms. It helps
In this book, Dan Gusfield examines combinatorial algorithms to constructgenealogical and exact phylogenetic networks, particularly ancestral recombination graphs (ARGs).The algorithms produce network
This book focuses on signal processing algorithms based on the timefrequency domain. Original methods and algorithms are presented which are able to extract information from non-stationary signals suc
This book describes models and algorithms for complex scheduling problems. It presents key algorithms in detail and includes examples. This second revised edition includes new material, in particular,
This book explores strategies on feedback, presenting theoretical analysis and practical algorithms for feedback information required at base stations in order to perform adaptive resource algorithms
Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly a
This text looks at search algorithms that are applicable in various practical settings. With the implementation of suitable data structures and metrics within the suggested search algorithms, the book
This work fills the gap for a comprehensive reference conveying the developments in global optimization of atomic structures using genetic algorithms. Over the last few decades, such algorithms based
This graduate-level textbook introduces fundamental concepts and methods in machinelearning. It describes several important modern algorithms, provides the theoretical underpinningsof these algorithms
This book describes models and algorithms for complex scheduling problems. It presents key algorithms in detail and includes examples. This second revised edition includes new material, in particular,
This book is a French translation of seventeen papers by Donald Knuth on algorithms both in the field of analysis of algorithms and in the design of new algorithms. They cover fundamental concepts and
Randomized search heuristics such as evolutionary algorithms, genetic algorithms, evolution strategies, ant colony and particle swarm optimization turn out to be highly successful for optimization in
The book is devoted to mathematical foundations providing synthesis and analysis of control and adaptation algorithms targeting modern telecommunication systems (TCS). These algorithms are finding mor
Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced sign
