Bücher der Reihe Lecture Notes in Economics and Mathematical Systems

The book presents different models for the simultaneous optimization problem of capacity investment and work release rule parameterization. For special cases with M/M/1 and M/M/s queues explicit solutions of the optimization problems or optimality conditions concerning capacity investment and work release rule parameterization are provided.

In this book the foundations and applicability of the Generalized Fechner-Thurstone Utility Function are laid out. It is also shown that whereas the existence of a fixed preference utility function is not always guaranteed for different demand functions, there will always exist at least one Generalized Fechner-Thurstone Direct Utility Function.

This volume presents recent advances in the dynamic field of Artificial Economics and its various applications. Artificial Economics provides a structured approach to model and investigate economic and social systems. Artificial Economics especially facilitates the investigation of this emergent systems' behavior.

Sponsored by: Centre d'Enseignement Superieur des Affaires (C.E.S.A.) and European Institute for Advanced Studies in Management (E.I.A.S.M.)

It has been introduced by Leontief (1941) who assumed that inputs into a production process of a particular sector of economic activity is a constant fraction of the output of that process in physicaZ terms. In that case one generally assumes that the ratios between inputs (in value terms) and outputs (in value terms) are constant.

This volume presents 20 carefully selected papers that were pre sented at the International Symposium on Semi-Infinite Programming and Applications, The University of Texas at Austin, September 8-10, 1981.

Modern welfare economics as it is known today to economists took its final shape with the emergence of the Arrow-Debreu model. Quite to the contrary, infinity enters in a very natural way when it is taken into account that economic transactions take place over time.

Associated dynamic analyses have therefore been preoccupied with the stability of this equilibrium state, corresponding simply to studies of comparative statics. A common objective is to study and classify ways in which the qualitative properties of each system change as the parameters describing the system vary.

It is then shown that they all reduce to a common basic principle, that is, they all perform the same computational steps if certain conditions are set properly and ties are broken according to a common rule.

The conventional wisdom suggests that the problem of (dis )aggregation in growth and business cycle theory is basically a quantitative one: the model should consider as many sectors, goods, and agents as necessary to provide a sufficiently rich picture, the upper bound obviously resulting from the tractability of the problem.

Using panel data of individual firms drawn from French surveys, a structural analysis is developed to study the formation of production plans and the rationality of expectations. The preceding analysis of production plans is based on the assumption that firms are rational.

Proceedings of the Second International Conference on Econometric Decision Models, University of Hagen, Held in Haus Nordhelle, August 29 - September 1, 1989

This volume contains research and survey papers which contribute to current directions in optimization theory as well as applications to economic problems and to problems in industrial engineering.

The publication of those two books gave rise to twenty years of intense research into the economics of exhaustible resources, research which everywhere has had a substantial impact both on public debate and on academic curricula.

For linear optimization models that can be formulated as linear programs with the block-angular structure, i.e. It can also be used as supplemental material in a second course in linear programming, computational mathematical programming, or large-scale systems.

In the remaining sections, the successive sweep method, the Newton-Raphson method and the generalized Newton-Raphson method (also called quasilinearization method) ar~ presented from a unified approach which is based on the application of Newton Raphson approximation to the necessary conditions of optimality.

There are many criteria which are to be considered: travel times, consumer's cost, construction cost, operating cost, expected fatalities and injuries, probability of delays, etc.

Scientists working in the Institute, first in the economic modeling task of the System and Decision Sciences area and later within the Economic Structural Change project, have cooperated extensively with colleagues throughout the world in advancing and contributing to input-output work.

The International Institute for Applied Systems Analysis (IIASA) in Laxenburg, Austria, has been involved in research on nondifferentiable optimization since 1976. To continue this tradition, and to review recent developments in this field, IIASA held a Workshop on Nondifferentiable Optimization in Sopron (Hungary) in September 1964.

Production costs can be categorized as basic production costs, which consist of material costs, labour costs, machine startup costs and over head costs, and inventory related costs, which include costs of capital tied up in inventory, insurances and taxes.

It is probably fair to say that there does not exist a unique and generally accepted not ion of justice. Even if one confines oneself to economic justice one can still get many answers to the question of how justice - henceforth we shall use the term "distributive justice" should be defined and characterized.

This book deals with dynamic and stochastic methods for multi-project planning. To obtain optimal and near optimal scheduling policies new models and algorithms are proposed based on the theory of Markov decision processes and Approximate Dynamic programming.

Methods of optimal decision rules illustrated he re are applicable in three broad areas: (a) applied economic models in resource allocation and economic planning, (b) operations research models involving portfolio analysis and stochastic linear programming and (c) systems science models in stochastic control and adaptive behavior.