Algorithmic Game Theory (Noam Nisan, et al)

 
0.0 (0)
Algorithmic Game Theory (Noam Nisan, et al)

The topic of Algorithmic Game Theory encompasses many of the most active areas of practical new game theory research, offering challenging new issues, methods, and viewpoints that demand both economists' and computer scientists' attention. This book is the greatest spot for beginners to start their studies because of the all-star lineup of author-contributors.

Game theory has significantly influenced computer science during the past few years, particularly in regard to challenges involving the Internet and e-commerce. Chapters that cover everything from the basics to the state of the art have been prepared by more than 40 of the top researchers in this field.

The fundamental chapters on mechanism design, combinatorial auctions, and algorithmic approaches for equilibria are followed by chapters on incentives and pricing, cost-sharing, information markets, and cryptography and security.

More information on these exciting theoretical advancements and their widespread practical application are required for students, researchers, and practitioners alike.

Ebook Details

About the Authors
  • At Stanford University's Department of Computer Science, Tim Roughgarden teaches as an assistant professor.
  • MIT awarded Vijay Vazirani a Bachelor of Science in Computer Science in 1979, and the University of California at Berkeley awarded him a Ph.D. in 1983. The creation of effective algorithms has been his research's overarching theme. The complexity theory, cryptography, coding theory, and game theory are other areas in which he has worked. The well-respected standard text on approximation algorithms—which has been translated into French, Japanese, and Polish—was published by him in 2001. He holds an ACM Fellow title.
Published
Published Date / Year
(September 24, 2007)
Hardcover
776 pages
eBook Format
PDF
ISBN-10
0521872820
ISBN-13
978-0521872829

Similar Programming & Computer Books

Éléments d'algorithmique - Algorithmic elements (D. Beauquier, et al)
This free programming book differs from other treatises on algorithms in two ways: first, we give special attention to the new tree structures that have emerged recently (bicolor trees,...
Complexité algorithmique - Algorithmic complexity (Sylvain Perifel)
The foundational ideas of algorithmic complexity theory are first covered in this free programming book before moving on to a number of more sophisticated subjects. ...
Algorithmique du texte - Text Algorithms (Maxime Crochemore, et al)
This free programming book offers a broad overview of text-processing algorithms. As such, it is an algorithmic book, but one whose goal is to utilize computers to manipulate language....
Algorithmique - Algorithmic (Michel Quercia)
The Poincaré high school in Nancy, the Champollion high school in Grenoble, and the Carnot high school in Dijon all offered the following texts as part of their MPSI/MP,...
Strategic Foundations of General Equilibrium: Dynamic Matching and Bargaining Games (Douglas Gale)
Since Adam Smith's day, the theory of competition has played a significant role in economic study. This book, published by one of the most eminent modern economic theorists, details...
The Pure Logic Of Choice (Richard D. Fuerle)
A broad theory of economics based on free will is presented in this free programming book. The assumption that humans have free will and the ability to alter physical...
Portfolio Theory and Financial Analyses (Robert Alan Hill)
Whether they involve calculating the return on a portfolio, analyzing portfolio risk, or assessing the effectiveness of the portfolio management process, this free programming book links each of the...
Price Theory: An Intermediate Text (David D. Friedman)
In order to help the reader grasp the economic way of thinking, the author first gives verbal, intuitive explanations of the topics before using graphs and/or calculus to illustrate...
Mathematical Models in Portfolio Analysis (Farida Kachapova)
This free programming book presents the mathematical theory of portfolio modeling in financial mathematics as a coherent whole, with justifications for each step. ...
Stochastic Calculus and Finance (Steven E. Shreve)
The first 10 years of the Carnegie Mellon Professional Master program in Computational Finance led to the development of stochastic calculus for finance. Students with calculus and probability based...

Others Programming Books by Noam Nisan, Tim Roughgarden, Eva Tardos, Vijay V. Vazirani

Algorithm Design (Jon Kleinberg, et al)
This book provides an introduction to algorithms by examining the practical issues that drive them. A variety of design and analytical methods for issues that develop in computing applications...
The Elements of Computing Systems: Building a Modern Computer from First Principles (Noam Nisan, et al)
The interplay of hardware, software, compilers, and operating systems in the early days of computer science was straightforward enough to provide students with a general understanding of how computers...

Others Programming Books by Cambridge University Press

Strategic Foundations of General Equilibrium: Dynamic Matching and Bargaining Games (Douglas Gale)
Since Adam Smith's day, the theory of competition has played a significant role in economic study. This book, published by one of the most eminent modern economic theorists, details...
Computational Complexity: A Conceptual Perspective (Oded Goldreich)
The study of the innate complexity of computer jobs is introduced conceptually in this free programming book. It is meant to be used as a textbook or for independent...
Algorithmic Number Theory: Lattices, Number Fields, Curves and Cryptography (Joe Buhler, et al)
One of the oldest and most fascinating branches of mathematics is number theory. Number theory has always involved computation, but this role has grown significantly over the past 20...
Combinatorial and Computational Geometry (Jacob E. Goodman, et al)
This volume, which consists of 32 papers on a variety of subjects of current research interest, is the result of the fusion of discrete and computational geometry. ...
Applied Combinatorics on Words (M. Lothaire)
This volume's goal is to provide a comprehensive analysis of some of the main areas in which combinatorics is applied. Core algorithms for text processing, natural language processing, audio...
Numerical Recipes in C: The Art of Scientific Computing, Second Edition (William H. Press, et al)
Numerical Recipes is a comprehensive handbook and reference on scientific computing and the result of a special partnership between four top researchers in academia and business. ...
Algebraic Combinatorics on Words (M. Lothaire)
Word-based combinatorics has independently developed within a variety of fields of mathematics, including number theory, group theory, and probability. It also commonly shows up in issues pertaining to theoretical...
Algebraic Topology (Allen Hatcher)
Algebraic topology is one of the three or four foundational first-year graduate mathematics courses at the majority of big universities.  
Model Theory, Algebra, and Geometry (Deirdre Haskell, et al)
Model theory is a subfield of mathematical logic that has found use in a variety of algebraic and geometric contexts.  
Classical Algebraic Geometry: A Modern View (Igor V. Dolgachev)
The robust general machinery created in the later half of the 20th century has been extremely helpful for algebraic geometry.  
Algorithms for Modular Elliptic Curves (J. E. Cremona)
Elliptic curves play a crucial and expanding role in computational number theory, where they are used extensively in processes like factorization, primality testing, and cryptography.
Random Graphs and Complex Networks (Remco van der Hofstad)
In this thorough introduction to network science, Random Graphs are used as representations of networks in the actual world. Such networks have unique empirical characteristics, and a plethora of...
Mathematical Illustrations: A Manual of Geometry and PostScript (Bill Casselman)
Anyone with a rudimentary understanding of coordinate geometry can benefit from this hands-on introduction to the methods required to create beautiful mathematical graphics.
Elementary Probability for Applications (Rick Durrett)
This engaging and accessible introduction to probability theory focuses on the findings that have the greatest practical value, such as Markov chains and combinatorial probability.
Advanced Data Analysis from an Elementary Point of View (Cosma Rohilla Shalizi)
For advanced undergraduate students who have already taken classes in probability, mathematical statistics, and linear regression, this textbook on data analysis methods is designed.
Categorical Homotopy Theory (Emily Riehl)
This book develops categorical abstract homotopy theory with a strong emphasis on instances.
Information Theory, Inference and Learning Algorithms (David J. C. MacKay)
Inference and information theory, which are frequently taught separately, are combined in this engaging textbook.
Probability on Trees and Networks (Russell Lyons, et al.)
This book focuses on a few discrete probability topics that are now under active development on infinite graphs. Naturally, analyses of finite graphs are also conducted, although typically with...
Engineering Design Optimization (Joaquim R. Martins, et al)
Humans have a knack for optimization. People are always looking for ways to make their lives and the systems around them better.
An Invitation to Applied Category Theory: Seven Sketches in Compositionality (Brendan Fong, et al)
Category Theory is unequaled in its capacity to arrange and layer abstractions and uncover commonalities across structures of all types. It is now proven to be a potent instrument...

User reviews

There are no user reviews for this listing.
Ratings
Rate this Book
Comments