The primary aim of this book is to present notions of convex analysis which constitute the basic underlying structure of argumentation in economic theory and which are common to optimization problems encountered in many applications. The intended readers are graduate students, and specialists of mathematical programming whose research fields are applied mathematics and economics. The text consists of a systematic development in eight chapters, with guided exercises containing sometimes significant and useful additional results. The book is appropriate as a class text, or for self-study.

This volume spotlights some of the most important economic issues confronting today's emerging developing countries. The topics studied in the book include the importance of productivity to economic growth, international trade and its relationship to productivity; immigration and brain drain; pollution havens, climate change, and the carbon tax; the effectiveness of foreign aid, the efficiency of education, and governance. Written by some of the most respected scholars in their respective fields, the individual chapters apply both economic theory and the most current empirical tools in rigorous but accessible exposition. Researchers can find value in the modeling and empirical techniques that can be applied to other countries and datasets. Policy makers can benefit from the intellectual foundation on which decisions on important issues can be based; and students of international trade, economic development, and environmental economics can gain knowledge of different country settings that give context to their fields of study.

This volume spotlights some of the most important economic issues confronting today's emerging developing countries. The topics studied in the book include the importance of productivity to economic growth, international trade and its relationship to productivity; immigration and brain drain; pollution havens, climate change, and the carbon tax; the effectiveness of foreign aid, the efficiency of education, and governance. Written by some of the most respected scholars in their respective fields, the individual chapters apply both economic theory and the most current empirical tools in rigorous but accessible exposition. Researchers can find value in the modeling and empirical techniques that can be applied to other countries and datasets. Policy makers can benefit from the intellectual foundation on which decisions on important issues can be based; and students of international trade, economic development, and environmental economics can gain knowledge of different country settings that give context to their fields of study.

This volume contains papers presented at the Sixth International Conference on Knowledge and Systems Engineering (KSE 2014), which was held in Hanoi, Vietnam, during 9-11 October, 2014. The conference was organized by the University of Engineering and Technology, Vietnam National University, Hanoi. Besides the main track of contributed papers, this proceedings feature the results of four special sessions focusing on specific topics of interest and three invited keynote speeches. The book gathers a total of 51 carefully reviewed papers describing recent advances and development on various topics including knowledge discovery and data mining, natural language processing, expert systems, intelligent decision making, computational biology, computational modeling, optimization algorithms, and industrial applications.

This book discusses convex analysis, the basic underlying structure of argumentation in economic theory. Convex analysis is also common to the optimization of problems encountered in many applications. The text is aimed at senior undergraduate students, graduate students, and specialists of mathematical programming who are undertaking research into applied mathematics and economics. The text consists of a systematic development in eight chapters, and contains exercises. The book is appropriate as a class text or for self-study.