Mathematics

Based on over twenty years' experience as supervisor and external examiner of project work in mathematics, Phil Dyke shows you how to get the best out of degree projects and case studies in mathematics.

Designed to form the basis of an undergraduate course in mathematical finance, this book builds on mathematical models of bond and stock prices and covers three major areas of mathematical finance that all have an enormous impact on the way modern financial markets operate, namely: Black-Scholes' arbitrage pricing of options and other derivative securities; Markowitz portfolio optimization theory and the Capital Asset Pricing Model; and interest rates and their term structure.

An effective reliability programme is an essential component of every product's design, testing and efficient production.

Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers presents a comprehensive, up-to-date description of multi-state system (MSS) reliability as a natural extension of classical binary-state reliability.

Mathematical modeling can be a useful tool for researchers in the biological scientists.

FEM updating allows FEMs to be tuned better to reflect measured data.

For experiments, dimensional analysis enables the design, checks the validity, orders the procedure and synthesises the data.

Geometric tolerances are changing the way we design and manufacture industrial products.

Recent years have seen a significant rise of interest in max-linear theory and techniques.

Mathematica(R): A Problem-Centered Approach introduces the vast array of features and powerful mathematical functions of Mathematica using a multitude of clearly presented examples and worked- out problems.

In the late 1960s British mathematician John Conway invented a virtual mathematical machine that operates on a two-dimensional array of square cell.

Biological and biomedical studies have entered a new era over the past two decades thanks to the wide use of mathematical models and computational approaches.

Bayesian Inference for Probabilistic Risk Assessment provides a Bayesian foundation for framing probabilistic problems and performing inference on these problems.

Biometrics, the science of using physical traits to identify individuals, is playing an increasing role in our security-conscious society and across the globe.

Mine Safety combines detailed information on safety in mining with methods and mathematics that can be used to preserve human life.

Linear, Time-varying Approximations to Nonlinear Dynamical Systems introduces a new technique for analysing and controlling nonlinear systems.

Although not so well known today, Book 4 of Pappus' Collection is one of the most important and influential mathematical texts from antiquity.

A recent development in SDC-related problems is the establishment of intelligent SDC models and the intensive use of LMI-based convex optimization methods.

Lean production, has long been regarded as critical to business success in many industries.

Network Science is the emerging field concerned with the study of large, realistic networks.

Safe Adaptive Control gives a formal and complete algorithm for assuring the stability of a switched control system when at least one of the available candidate controllers is stabilizing.

Let FG be the group ring of a group G over a field F.

Block-oriented Nonlinear System Identification deals with an area of research that has been very active since the turn of the millennium.

Graphs and Matrices provides a welcome addition to the rapidly expanding selection of literature in this field.

Programming Finite Elements in Java(TM) teaches the reader how to programme the algorithms of the finite element method (FEM) in Java(TM).

Regression is the branch of Statistics in which a dependent variable of interest is modelled as a linear combination of one or more predictor variables, together with a random error.

Polycyclic groups are built from cyclic groups in a specific way.

As many readers will know, the 20th century was a time when the fields of mathematics and the sciences were seen as two separate entities.

Part of my lecturing work in the School of Mathematics at the University of Leeds involved teaching quantum mechanics and statistical mechanics to mathematics undergraduates, and also mathematical methods to undergraduate students in the School of Electronic and Electrical Engineering at the University.

Elementary Differential Geometry presents the main results in the differential geometry of curves and surfaces suitable for a first course on the subject.

A Course on Finite Groups introduces the fundamentals of group theory to advanced undergraduate and beginning graduate students.

"e;Robust Control for Uncertain Networked Control Systems with Random Delays"e; addresses the problem of analysis and design of networked control systems when the communication delays are varying in a random fashion.

"e;Optimal Observation for Cyber-physical Systems"e; addresses the challenge, fundamental to the design of wireless sensor networks (WSNs), presented by the obligatory trade-off between precise estimates and system constraints.

Fortran has been the premier language for scientific computing since its introduction in 1957.

Imagine algebra class meets The Hitchhiker's Guide to the Galaxy.

The theory of mean periodic functions is a subject which goes back to works of Littlewood, Delsarte, John and that has undergone a vigorous development in recent years.

The foundation of computer science is built upon the following questions: What is an algorithm?

The use of parallel programming and architectures is essential for simulating and solving problems in modern computational practice.

Implicit objects have gained increasing importance in geometric modeling, visualisation, animation, and computer graphics, because their geometric properties provide a good alternative to traditional parametric objects.

Geometric algebra is still treated as an obscure branch of algebra and most books have been written by competent mathematicians in a very abstract style.

Falling Liquid Films gives a detailed review of state-of-the-art theoretical, analytical and numerical methodologies, for the analysis of dissipative wave dynamics and pattern formation on the surface of a film falling down a planar inclined substrate.

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Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifier design and many others).

A Mathematician Said Who Can Quote Me a Theorem that's True?

The contents of this monograph fall within the general area of nonlinear functional analysis and applications.

Since the first edition of this book was published several new developments have been made in the field of the moire theory.

Agent systems are being used to model complex systems like societies, markets and biological systems.

Topologyhasbeenreferredtoas"e;rubber-sheetgeometry"e;.

Periodic Systems gives a comprehensive treatment of the theory of periodic systems, including the problems of filtering and control.