Mathematics

In seminars and graduate level courses I have had several opportunities to discuss modeling and analysis of time series with economists and economic graduate students during the past several years.

This Lecture Note deals with asymptotic properties, i.

The Fourth International MCDM Conference follows a tradition that began with an exploratory gathering at the University of South Carolina in 1973.

This book has grown out of a desire to explore the possibilities of using optimizing models in transportation planning.

Reconstruction from projections has revolutionized radiology and has now become one of the most important tools of medical diagnosis The E.

This paper is one of a series in which the ideas of category theory are applied to problems of system theory.

During the course of this year, 1990, dentistry will celebrate its sesquicentennial as a profession.

The past forty years have been the stage for the maturation of mathematical biolo~ as a scientific field.

Presentation Many economic problems, as equilibrium models, input-output analysis, rational behaviour, etc.

3D CAD is one of the most important technologies of the 90sfor the engineering and manufacturing world.

This book provides a rigorous but elementary introduction to the theory of Markov Processes on a countable state space.

This textbook provides a unified and self-contained presentation of the main approaches to and ideas of mathematical statistics.

Traditionally a subject of number theory, continued fractions appear in dynamical systems, algebraic geometry, topology, and even celestial mechanics.

The study of surfaces with constant mean curvature (CMC) is one of the main topics in classical differential geometry.

Backward stochastic differential equations (BSDEs) provide a general mathematical framework for solving pricing and risk management questions of financial derivatives.

This volume brings together five contributions to mathematical fluid mechanics, a classical but still very active research field which overlaps with physics and engineering.

Mathematical demography is the centerpiece of quantitative social science.

Many mathematical assumptions on which classical derivative pricing methods are based have come under scrutiny in recent years.

This volume, setting out the theory of positive maps as it stands today, reflects the rapid growth in this area of mathematics since it was recognized in the 1990s that these applications of C*-algebras are crucial to the study of entanglement in quantum theory.

The theory of slice regular functions over quaternions is the central subject of the present volume.

This book constitutes the proceedings of the 14th International Workshop on Computer Algebra in Scientific Computing, CASC 2012, held in Maribor, Slovenia, in September 2012.

Many phenomena in engineering and mathematical physics can be modeled by means of boundary value problems for a certain elliptic differential operator in a given domain.

Turing's famous 1936 paper introduced a formal definition of a computing machine, a Turing machine.

Most financial and investment decisions are based on considerations of possible future changes and require forecasts on the evolution of the financial world.

From the reviews of the previous editions "e;.

Risk management for financial institutions is one of the key topics the financial industry has to deal with.

Asymptotic analysis of stochastic stock price models is the central topic of the present volume.

Based on a series of lectures for adult students, this lively and entertaining book proves that, far from being a dusty, dull subject, geometry is in fact full of beauty and fascination.

Real Analysis is a discipline of intensive study in many institutions of higher education, because it contains useful concepts and fundamental results in the study of mathematics and physics, of the technical disciplines and geometry.

In this textbook the authors present first-year geometry roughly in the order in which it was discovered.

This book is an edited volume, the goal of which is to provide an overview of the current state-of-the-art in statistical methods applied to problems in structural bioinformatics (and in particular protein structure prediction, simulation, experimental structure determination and analysis).

Between Certainty & Uncertainty"e; is a one-of-a-kind short course on statistics for students, engineers and researchers.

The problems of conditional optimization of the uniform (or C-) norm for polynomials and rational functions arise in various branches of science and technology.

One of the most elementary questions in mathematics is whether an area minimizing surface spanning a contour in three space is immersed or not; i.

This book constitutes the refereed proceedings of the 13th International Workshop on Computer Algebra in Scientific Computing, CASC 2011, held in Kassel, Germany, in September 2011.

Recent trends in health care across the United States and internationally have emphasized a novel approach that consists in comparing the effectiveness and efficacy of treatment interventions with a patient-centered emphasis (i.

The emphasis throughout the present volume is on the practical application of theoretical mathematical models helping to unravel the underlying mechanisms involved in processes from mathematical physics and biosciences.

The theory presented in this book is developed constructively, is based on a few axioms encapsulating the notion of objects (points and sets) being apart, and encompasses both point-set topology and the theory of uniform spaces.

Complex, microstructured materials are widely used in industry and technology and include alloys, ceramics and composites.

This brief monograph is the first one to deal exclusively with the quantitative approximation by artificial neural networks to the identity-unit operator.

This book serves as an introduction to topology, a branch of mathematics that studies the qualitative properties of geometric objects.

Isoperimetric, measure concentration and random process techniques appear at the basis of the modern understanding of Probability in Banach spaces.

Incidence geometry is a central part of modern mathematics that has an impressive tradition.

The main idea of statistical convergence is to demand convergence only for a majority of elements of a sequence.