Modern Poker Theory: Building an Unbeatable Strategy Based on GTO Principles


Michael Acevedo - 2019
    It is based around an in-depth examination of what is meant by game theory optimal play (GTO) and how it can be applied at the table. Understanding GTO is fundamental to being able to make accurate poker decisions and being able to exploit players who don’t. Modern Poker Theory uses modern poker tools to develop a systematic approach to the analysis of GTO. It organizes the ideas and concepts in an intuitive manner that is totally focused to practical applications. Next time you are at a table some of the players will have studied Modern Poker Theory and some won’t. The players who have studied Modern Poker Theory will, without doubt, have a better theoretical and practical understanding of No-Limit Hold’em. They will be the favourites in the game. Make sure you are one of them. Michael Acevedo, one of the world’s leading poker theorists, is a game theory expert who is renowned for creating cutting-edge content for the world’s leading players. The production of Modern Poker Theory is the culmination of many thousands of hours of his research work with the most advanced poker software tools available. It is poker theory for the 21st century.

Signals and Systems


A. Anand Kumar - 2011
    Written with student centred, pedagogically driven approach, the text provides a self-contained introduction to the theory of signals and systems. This book looks at the concepts of systems, and also examines signals and the way that signals interact with physical systems. It covers topics ranging from basic signals and systems to signal analysis, properties of continuous-time Fourier transforms including Fourier transforms of standard signals, signal transmission through linear systems, relation between convolution and correlation of signals, sampling theorems and techniques, and transform analysis of LTI systems. All the solved and unsolved problems in this book are designed to illustrate the topics in a clear way.

Mathematical Methods for Physicists


George B. Arfken - 1970
    This work includes differential forms and the elegant forms of Maxwell's equations, and a chapter on probability and statistics. It also illustrates and proves mathematical relations.

Operations Research: Applications and Algorithms (with CD-ROM and InfoTrac)


Wayne L. Winston - 1987
    It moves beyond a mere study of algorithms without sacrificing the rigor that faculty desire. As in every edition, Winston reinforces the book's successful features and coverage with the most recent developments in the field. The Student Suite CD-ROM, which now accompanies every new copy of the text, contains the latest versions of commercial software for optimization, simulation, and decision analysis.

Fooling Houdini: Magicians, Mentalists, Math Geeks, and the Hidden Powers of the Mind


Alex Stone - 2011
    By investing some of the lesser-known corners of psychology, neuroscience, physics, history, and even crime, all through the lens of trickery and illusion, Fooling Houdini arrives at a host of startling revelations about how the mind works--and why, sometimes, it doesn’t.

MATLAB: An Introduction with Applications


Amos Gilat - 2003
    The first chapter describes basic features of the program and shows how to use it in simple arithmetic operations with scalars. The next two chapters focus on the topic of arrays (the basis of MATLAB), while the remaining text covers a wide range of other applications. Computer screens, tutorials, samples, and homework questions in math, science, and engineering, provide the student with the practical hands-on experience needed for total proficiency.

Schaum's Outline of Advanced Mathematics for Engineers and Scientists


Murray R. Spiegel - 1971
    Fully stocked with solved problemsN950 of themNit shows you how to solve problems that may not have been fully explained in class. Plus you ge"

Signals and Systems


Alan V. Oppenheim - 1982
    KEY TOPICS: The major changes of the revision are reorganization of chapter material and the addition of a much wider range of difficulties.

Beat the Dealer: A Winning Strategy for the Game of Twenty-One


Edward O. Thorp - 1966
    Thorp is the father of card counting, and in this classic guide he shares the revolutionary point system that has been successfully used by professional and amateur card players for generations. This book provides:o an overview of the basic rules of the game o proven winning strategies ranging from simple to advanced o methods to overcome casino counter measures o ways to spot cheating o charts and tables that clearly illustrate key conceptsA fascinating read and an indispensable resource for winning big, Beat the Dealer is the bible for players of this game of chance.**Bring these strategies into the casino: Perforated cards included in the book**

Calculus


Dale E. Varberg - 1999
    Covering various the materials needed by students in engineering, science, and mathematics, this calculus text makes effective use of computing technology, graphics, and applications. It presents at least two technology projects in each chapter.

Reinforcement Learning: An Introduction


Richard S. Sutton - 1998
    Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

Introduction to Electrodynamics


David J. Griffiths - 1981
    This work offers accesible coverage of the fundamentals of electrodynamics, enhanced with with discussion points, examples and exercises.

Innumeracy: Mathematical Illiteracy and Its Consequences


John Allen Paulos - 1988
    Dozens of examples in innumeracy show us how it affects not only personal economics and travel plans, but explains mis-chosen mates, inappropriate drug-testing, and the allure of pseudo-science.

Bringing Down the House: The Inside Story of Six M.I.T. Students Who Took Vegas for Millions


Ben Mezrich - 2002
    In two years, this ring of card savants earned more than three million dollars. Filled with tense action and incredibly close calls, this is a real-life adventure that could have stepped straight out of a Hollywood film.

Discrete Mathematical Structures with Applications to Computer Science


Jean-Paul Tremblay - 1975