In part two of this Dark and Dirty Tale serial from New York Times and USA best-selling author Kristin Miller, Red has two hot alphas in pursuit. But which one should she choose? Lukas, the Alpha of the Arcana wolf pack, has chosen to seduce me in his private chamber before I join his pack and declare a mate. But Lukas doesn’t intend to rush things. A tantalizing game of cat and mouse uncovers my dark desires, and no matter how I try to resist, I’m lost in him. Although the sex is so good I forget my own name, I can’t deny there’s still something missing...Reaper, the Omega’s eldest grandson. He swept me off my feet before meeting Lukas, and I can’t get him out of my mind. And now that Lukas has taken me, Reaper is more protective than ever. I'm torn, but I have to choose—the one who has captured my heart or the one who possesses my body. And there is more than passion at stake—lives hang in the balance. Get ready for scorching hot Alphas, a spitfire heroine, and a breathless cliffhanger ending! The Dark and Dirty tale series is best enjoyed in order. Reading Order: Book #1 Desiring Red Book #2 Dominating Red Book #3 Dangerously Red

In part three of the new Dark and Dirty Tale serial by New York Times and USA best-selling author Kristin Miller, the time has come for Red to choose. But things are not always as they seem... Before the night is through, I’ll join the Arcana wolf pack, declare a mate, and transition into a wolf for the first time. I must decide between Reaper, the devilishly sexy huntsman, and Lukas, the fiercely controlling Alpha. Both pleasure me senseless, taking me to heights I’ve never known. But I can’t have both. Time is up, and I must choose. But Lukas just dropped a bombshell. If I declare him as my mate, no other person is allowed to touch me. Ever. Not a handshake or a good-bye hug. Talk about stifling. Not to mention, the Omega has all but forbidden me to choose Reaper. As I stand before the pack, I must decide...the man who unleashes dark desires inside me, or the man I’m forbidden to love. Get ready for scorching hot Alphas, a spitfire heroine, and a breathtaking ending! The Dark and Dirty tale series is best enjoyed in order. Reading Order: Book #1 Desiring Red Book #2 Dominating Red Book #3 Dangerously Red

In part one of the new Dark and Dirty Tale serial by New York Times and USA best-selling author Kristin Miller, you’ll meet Red, a wolf shifter with too many choices. I’m indecisive when it comes to my shoes. Choosing a werewolf mate who’ll be with me until I croak? Pardon me while I take some time to think on it. But a steamy encounter before the final ceremony changes everything. Reaper, the Omega’s eldest grandson, is fiercely loyal, scorching hot, and built for pleasure. He brings down my defenses, and before I know what’s happening, I succumb to the heat in his touch and the skill of his mouth. I’ve only just met him, but I need him like no other. As part of my pack duties, I must parade in front of the Alpha, who has first choice of the pre-shifters. Rumors of his dark desires run deep, and I’ve always been intrigued. But the forbidden passion blazing between Reaper and me is too primal to deny. By pack law, Reaper can’t have me until the Alpha makes his choice...but Reaper’s never been one to follow the rules. Get ready for scorching hot Alphas, a spitfire heroine, and a breathless cliffhanger ending! The Dark and Dirty tale series is best enjoyed in order. Reading Order: Book #1 Desiring Red Book #2 Dominating Red Book #3 Dangerously Red - Coming in July!

Preprocessing, or data reduction, is a standard technique for simplifying and speeding up computation. Written by a team of experts in the field, this book introduces a rapidly developing area of preprocessing analysis known as kernelization. The authors provide an overview of basic methods and important results, with accessible explanations of the most recent advances in the area, such as meta-kernelization, representative sets, polynomial lower bounds, and lossy kernelization. The text is divided into four parts, which cover the different theoretical aspects of the area: upper bounds, meta-theorems, lower bounds, and beyond kernelization. The methods are demonstrated through extensive examples using a single data set. Written to be self-contained, the book only requires a basic background in algorithmics and will be of use to professionals, researchers and graduate students in theoretical computer science, optimization, combinatorics, and related fields.

With Chromatic Graph Theory, Second Edition, the authors present various fundamentals of graph theory that lie outside of graph colorings, including basic terminology and results, trees and connectivity, Eulerian and Hamiltonian graphs, matchings and factorizations, and graph embeddings. Readers will see that the authors accomplished the primary goal of this textbook, which is to introduce graph theory with a coloring theme and to look at graph colorings in various ways. The textbook also covers vertex colorings and bounds for the chromatic number, vertex colorings of graphs embedded on surfaces, and a variety of restricted vertex colorings. The authors also describe edge colorings, monochromatic and rainbow edge colorings, complete vertex colorings, several distinguishing vertex and edge colorings. Features of the Second Edition: The book can be used for a first course in graph theory as well as a graduate course The primary topic in the book is graph coloring The book begins with an introduction to graph theory so assumes no previous course The authors are the most widely-published team on graph theory Many new examples and exercises enhance the new edition

This volume contains the papers presented at ESA 2009: The 17th Annual - ropean Symposium on Algorithms, September 7–9, 2009. ESA has been held annually since 1993, and seeks to cover both theoretical and engineering aspects of algorithms. The authors were asked to classify their paper under one or more categories as described in Fig. 1. Since 2001, ESA has been the core of the larger ALGO conference, which typically includes several satellite conferences. ALGO 2009 was held at the IT University of Copenhagen, Denmark. The ?ve members of the ALGO 2009 - ganizing Committee were chaired by Thore Husfeldt. The ESA submission deadline was April 12, Easter Sunday. This was clearly an error and we o?er profuse apologies for this mistake. Albeit no excuse, the hard constraints we faced were (a) ICALP noti?cation, April 6, and (b) ESA in Copenhagen, September 7. Between these two endpoints we needed to design a schedule that allowed modifying ICALP rejections for resubmission (1 week), Program Committee deliberations (7 weeks), preparing ?nal versions (4 weeks), and, to prepare, publish, and transport the proceedings (9 weeks). ESA 2009had 272submissions ofwhich 14 werewithdrawn overtime. Of the remaining 222 submissions to Track A (Design and Analysis), 56 were accepted. Of the remaining 36 submissions to Track B (Engineering and Applications), 10 were accepted. This gives an acceptance rate of slightly under 25%.

This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook.