Mathematics for Economic Modeling - Vol I

Economic modeling is an occupation of those qualified in processing information in the economic field, in order to increase efficiency, added value, substantiate the decision and achieve many other objectives.
The complexity of economic phenomena requires the completion of economic modeling, which results in the economic model, with a mathematical modeling whose product is the economic-mathematical model, able to provide solutions to optimization problems, strategy, forecasting or those that take into account factors random present in the real economy.
This volume is addressed to students or master economists, whose professional training involves the formation of skills in the field of analysis and processing of quantitative, qualitative or mixed information, an objective that can not be achieved without the accumulation of mathematical knowledge and learning to use algorithms and more and more advanced mathematical methods.
The content of this paper is a first offer of mathematics chapters, necessary for a solid training of economics students, to be able to solve current problems of economic practice.
The volume contains four chapters: "NOTIONS REGARDING SCIENTIFIC MODELING", "ELEMENTS OF LINEAR ALGEBRA", "ELEMENTS OF LINEAR PROGRAMMING" and "ELEMENTS OF MATHEMATICAL ANALYSIS AND APPLICATIONS".
The first chapter presents a definition of the model and scientific modeling, followed by classifications of the models. Chapter two exposes the notion of linear algebra necessary for chapter 3 in which are exposed the fundamental theoretical results necessary for an economic modeling, in which the linear or proportional approach of the economic phenomenon predominates, and the content of the fourth chapter refers to the apparatus created by mathematical analysis for modeling in which the functional deterministic approach is dominant. The four chapters are part of the theme, which has become a classic, typical of an analytical program of any faculty with an economic profile.
The way of presenting the content of the two chapters strives to combine mathematical accuracy with accessibility, without compromising the characteristic rigor of any scientific approach.
This book is the beginning of a series of works whose aim is to provide mathematical methods and models, which will contribute to a thorough training of future specialists in the economic field.