Satya R. Chakravarty is a Professor of Economics at the Indian Statistical Institute, Kolkata. He received a bachelor degree in Statistics in 1976, a master degree in economics in 1977 and a doctorate in economics in 1981 from the Indian Statistical Institute. Professor Chakravarty worked as a Visiting Professor at the University of British Columbia, Canada (1984–5), the University of Karlsruhe, Germany (1988–90) with a grant from the German Research Foundation, the Bar Ilan University, Israel (1990, 2004, 2005, 2006 and 2010), the Kagawa University, Japan (1996–7 and 2000), the Paris School of Economics, Paris, France (1997–8) with a grant from the French Ministry of Education, the Chinese University of Hong Kong (1998), the Bocconi University, Milan, Italy (2002–3 and 2006–7) and the Yokohama National University, Japan (2009). Professor Chakravarty's main areas of interest are welfare economics, public economics, mathematical finance, industrial organization and game theory. His work spans theoretical, empirical and policy analysis. Manipushpak Mitra is a Professor of Economics at the Indian Statistical Institute, Kolkata, India. He has articles published in internationally known journals and edited books on cooperative game theory, mechanisms design in allocation problems and in market regulation problems, and industrial organization. Palash Sarkar is a computer scientist and is presently a Professor at the Indian Statistical Institute, Kolkata, India. He has published over one hundred articles in leading journals and conference proceedings. His research and teaching interests range over a wide variety of topics at the interface of computer science and mathematics.

• Preface; 1. Introduction and motivation page; 2. Basics and preliminaries; 3. The core and some related solutions; 4. The bargaining set, kernel and nucleolus; 5. The Shapley value; 6. The core, Shapley value and Weber set; 7. Voting games; 8. Mathematical matching; 9. Non-transferable utility cooperative games; 10. Linear programming; 11. Algorithmic aspects of cooperative game theory; 12. Weighted majority games; 13. Stable matching algorithm; References; Index.

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Satya R. Chakravarty is a Professor of Economics at the Indian Statistical Institute, Kolkata. He received a bachelor degree in Statistics in 1976, a master degree in economics in 1977 and a doctorate in economics in 1981 from the Indian Statistical Institute. Professor Chakravarty worked as a Visiting Professor at the University of British Columbia, Canada (1984–5), the University of Karlsruhe, Germany (1988–90) with a grant from the German Research Foundation, the Bar Ilan University, Israel (1990, 2004, 2005, 2006 and 2010), the Kagawa University, Japan (1996–7 and 2000), the Paris School of Economics, Paris, France (1997–8) with a grant from the French Ministry of Education, the Chinese University of Hong Kong (1998), the Bocconi University, Milan, Italy (2002–3 and 2006–7) and the Yokohama National University, Japan (2009). Professor Chakravarty's main areas of interest are welfare economics, public economics, mathematical finance, industrial organization and game theory. His work spans theoretical, empirical and policy analysis. Manipushpak Mitra is a Professor of Economics at the Indian Statistical Institute, Kolkata, India. He has articles published in internationally known journals and edited books on cooperative game theory, mechanisms design in allocation problems and in market regulation problems, and industrial organization. Palash Sarkar is a computer scientist and is presently a Professor at the Indian Statistical Institute, Kolkata, India. He has published over one hundred articles in leading journals and conference proceedings. His research and teaching interests range over a wide variety of topics at the interface of computer science and mathematics.

• Preface; 1. Introduction and motivation page; 2. Basics and preliminaries; 3. The core and some related solutions; 4. The bargaining set, kernel and nucleolus; 5. The Shapley value; 6. The core, Shapley value and Weber set; 7. Voting games; 8. Mathematical matching; 9. Non-transferable utility cooperative games; 10. Linear programming; 11. Algorithmic aspects of cooperative game theory; 12. Weighted majority games; 13. Stable matching algorithm; References; Index.

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Satya R. Chakravarty is a Professor of Economics at the Indian Statistical Institute, Kolkata. He received a bachelor degree in Statistics in 1976, a master degree in economics in 1977 and a doctorate in economics in 1981 from the Indian Statistical Institute. Professor Chakravarty worked as a Visiting Professor at the University of British Columbia, Canada (1984–5), the University of Karlsruhe, Germany (1988–90) with a grant from the German Research Foundation, the Bar Ilan University, Israel (1990, 2004, 2005, 2006 and 2010), the Kagawa University, Japan (1996–7 and 2000), the Paris School of Economics, Paris, France (1997–8) with a grant from the French Ministry of Education, the Chinese University of Hong Kong (1998), the Bocconi University, Milan, Italy (2002–3 and 2006–7) and the Yokohama National University, Japan (2009). Professor Chakravarty's main areas of interest are welfare economics, public economics, mathematical finance, industrial organization and game theory. His work spans theoretical, empirical and policy analysis. Manipushpak Mitra is a Professor of Economics at the Indian Statistical Institute, Kolkata, India. He has articles published in internationally known journals and edited books on cooperative game theory, mechanisms design in allocation problems and in market regulation problems, and industrial organization. Palash Sarkar is a computer scientist and is presently a Professor at the Indian Statistical Institute, Kolkata, India. He has published over one hundred articles in leading journals and conference proceedings. His research and teaching interests range over a wide variety of topics at the interface of computer science and mathematics.

• Preface; 1. Introduction and motivation page; 2. Basics and preliminaries; 3. The core and some related solutions; 4. The bargaining set, kernel and nucleolus; 5. The Shapley value; 6. The core, Shapley value and Weber set; 7. Voting games; 8. Mathematical matching; 9. Non-transferable utility cooperative games; 10. Linear programming; 11. Algorithmic aspects of cooperative game theory; 12. Weighted majority games; 13. Stable matching algorithm; References; Index.

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