Ebook > Sciences > Math > Vladimir V. Mazalov & Leon Petrosjan: Game Theory and Applications. Volume 14 (PDF)

Vladimir V. Mazalov & Leon Petrosjan
Game Theory and Applications. Volume 14

Support

Adobe DRM

Cover of Vladimir V. Mazalov & Leon Petrosjan: Game Theory and Applications. Volume 14 (PDF)

This new volume brings together papers of well-known specialists in game theory and adjacent problems. It presents the basic results in dynamic games, stochastic games, applications of game theoretical methods in ecology and economics and the methodological aspects of game theory.

€350.74

Format PDF ● Pages 197 ● ISBN 9781613249390 ● Editor Vladimir V. Mazalov & Leon Petrosjan ● Publisher Nova Science Publishers ● Published 2017 ● Downloadable 3 times ● Currency EUR ● ID 7218864 ● Copy protection Adobe DRM

Requires a DRM capable ebook reader

More ebooks from the same author(s) / Editor

Vladimir V. Mazalov Leon Petrosjan Edward P. Cheyney

46,730 Ebooks in this category

Cover of B.K. Sahu: Time Series Modelling in Earth Sciences

B.K. Sahu: Time Series Modelling in Earth Sciences

Including the latest theories and applications of time series modelling, this book is intended for students, faculties and professionals with a background in multivariate statistics. Highlighting …

Cover of Richard Alldredge & Marc A. Evans: Cross-Over Experiments

Richard Alldredge & Marc A. Evans: Cross-Over Experiments

Developing a model-based approach that enables any cross-over trial, of any degree of imbalance, to be analyzed both for direct effects and for residual effects, using consistent procedures that …

Cover of Feryaal (PhD Student, Ivey Business School) Ahmed & Syed Ejaz (Prof. of Maths and Statistics, Brock Uni.) Ahmed: Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data

Feryaal (PhD Student, Ivey Business School) Ahmed & Syed Ejaz (Prof. of Maths and Statistics, Brock Uni.) Ahmed: Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data

This book presents some post-estimation and predictions strategies for the host of useful statistical models with applications in data science. It combines statistical learning and machine learning …

Cover of Pramod Belkhode & Kanchan Borkar: Mathematical Modelling

Pramod Belkhode & Kanchan Borkar: Mathematical Modelling

This book investigates human machine systems through the use of case studies such as crankshaft maintenance, liner piston maintenance, and biodiesel blend performance. Through mathematical modelling …

Cover of Davide (Embry-Riddle Aeronautical University, USA) Conte & David B. (The Pennsylvania State University, USA) Spencer: Interplanetary Astrodynamics

Davide (Embry-Riddle Aeronautical University, USA) Conte & David B. (The Pennsylvania State University, USA) Spencer: Interplanetary Astrodynamics

Focusing on the orbital mechanics tools and techniques necessary to design, predict, and guide a trajectory of a spacecraft traveling between two or more bodies in a Solar System, this book covers …

Cover of Alfio (University of Wurzburg, Germany) Borzi: Sequential Quadratic Hamiltonian Method

Alfio (University of Wurzburg, Germany) Borzi: Sequential Quadratic Hamiltonian Method

The sequential quadratic hamiltonian (SQH) method is a novel numerical optimization procedure for solving optimal control problems governed by differential models. It is based on the characterisation …

Cover of Stephen Lynch: Python for Scientific Computing and Artificial Intelligence

Stephen Lynch: Python for Scientific Computing and Artificial Intelligence

Python for Scientific Computing and Artificial Intelligence is split into 3 parts: in Section 1, the reader is introduced to the Python programming language and shown how Python can aid in the …

Cover of S. Can (Rensselaer Polytechnic Institute, United States) Gulen: Applied Second Law Analysis of Heat Engine Cycles

S. Can (Rensselaer Polytechnic Institute, United States) Gulen: Applied Second Law Analysis of Heat Engine Cycles

Applied Second Law Analysis of Heat Engine Cycles offers a concise, practical approach to one of the two building blocks of classical thermodynamics and demonstrates how it can be a powerful tool in …

Cover of Zhe George (Western Washington University, Bellingham) Zhang: Fundamentals of Stochastic Models

Zhe George (Western Washington University, Bellingham) Zhang: Fundamentals of Stochastic Models

Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors. This area is highly technical and mainly developed by mathematicians. Most existing books …

Cover of Graham Hall: Four-Dimensional Manifolds and Projective Structure

Graham Hall: Four-Dimensional Manifolds and Projective Structure

Four-Dimensional Manifolds and Projective Structure may be considered ?rst as an introduction to di?erential geometry and, in particular, to 4-dimensional manifolds, and secondly as an introduction …