This textbook is a thorough, accessible introduction to digital Fourier analysis for undergraduate students in the sciences. Beginning with the principles of sine/cosine decomposition, the reader walks through the principles of discrete Fourier analysis before reaching the cornerstone of signal processing: the Fast Fourier Transform. Saturated with clear, coherent illustrations, "Digital Fourie…
Financial Risk Measurement is a challenging task, because both the types of risk and the techniques evolve very quickly. This book collects a number of novel contributions to the measurement of financial risk, which address either non-fully explored risks or risk takers, and does so in a wide variety of empirical contexts.
This book provides a quantitative framework for the analysis of conflict dynamics and for estimating the economic costs associated with civil wars. The author develops modified Lotka-Volterra equations to model conflict dynamics, to yield realistic representations of battle processes, and to allow us to assess prolonged conflict traps. The economic costs of civil wars are evaluated with the hel…
Digital games offer enormous potential for learning and engagement in mathematics ideas and processes. This volume offers multidisciplinary perspectives--of educators, cognitive scientists, psychologists and sociologists--on how digital games influence the social activities and mathematical ideas of learners/gamers. Contributing authors identify opportunities for broadening current understandin…
Valvular heart medicine revolves around the need to accurately identify locations of pathological structures and/or the interventional tools needed to manage that pathology. The imaging of the valves is developing at an enormous pace and the clinician must be aware of the advantages of each modality and how it compares to the others available. There is a need for a practical, clinical atlas des…
Risk measures play a vital role in many subfields of economics and finance. It has been proposed that risk measures could be analysed in relation to the performance of variables extracted from empirical real-world data. For example, risk measures may help inform effective monetary and fiscal policies and, therefore, the further development of pricing models for financial assets such as equities…
The profitability of power plant investments depends strongly on uncertain fuel and carbon prices. In this doctoral thesis, we combine fundamental electricity market models with stochastic dynamic programming to evaluate power plant investments under uncertainty. The application of interpolation-based stochastic dynamic programming and approximate dynamic programming allows us to consider a gre…
This book has one explicit purpose: to present a new theory of cultural learning in organisations which combines practice-based learning with cultural models - a cognitive anthropological schema theory of taken-for-granted connections - tied to the everyday meaningful use of artefacts. The understanding of culture as emerging in a process of learning open up for new understandings, which is use…
The two-volume set LNCS 9184-9185 constitutes the constitutes the refereed proceedings of the 6th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management 2015, held as part of the 17th International Conference on Human-Computer Interaction, HCII 2015, held in Los Angeles, CA, USA, in August 2015. The total of 1462 papers and 246 post…
This book makes a contribution to the formulation and implementation of production cost models for the modelling of liberalized electricity markets by addressing issues associated with the level of detail in the representation of the underlying power system, the accuracy of the results and the modelling effort. To this end a production cost model was formulated and applied to estimate the short…