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Broadly organized around the applications of Fourier analysis, "Methods of Applied Mathematics with a MATLAB Overview"Â covers both classical applications in partial differential equations and boundary value problems, as well as the concepts and methods associatedÂ to theÂ Laplace, Fourier, and discrete transforms. Transform inversion problems are also examined, along with the necessary background in complex variables. A final chapter treats wavelets, short-time Fourier analysis, and geometrically-based transforms.Â The computer program MATLAB is emphasized throughout, and an introduction to MATLAB is provided in an appendix.Â Rich in examples, illustrations, and exercises of varying difficulty, this text can be used for a one- or two-semester course and is ideal for students in pure and applied mathematics, physics, and engineering.
Many approaches have been proposed to enhance software productivity and reliability. These approaches typically fall into three categories: the engineering approach, the formal approach, and the knowledge-based approach. The optimal gain in software productivity cannot be obtained if one relies on only one of these approaches. Thus, the integration of different approaches has also become a major area of research.
The software, communications and electronics markets are among the most innovative and competitive industries in the world. Robust competition means that developers and manufacturers of software, mobile phones, gaming devices, computers, digital cameras and other consumer electronics and appliances must leverage their IP rights to sustain competitive advantage. However, this can be difficult, as much innovation takes place at the intersection of patent, design and copyright law; and although much law is harmonised, there are still significant national variations both in law and in practice. Intellectual Property in Electronics and Software is a new title designed to provide practical guidance on the IP issues affecting companies working in this area. A unique compendium, it addresses the key issues of IP law in the major jurisdictions worldwide where software and electronics are developed and sold as they impact on software and electronics companies. Topics covered include the challenges of obtaining protection; software protection and the limits of patentability; patent strategy, including approaches to patent drafting to maximise protection; standards setting and reasonable and non-discriminatory licensing; open source software; and other forms of protection such as unfair competition and design rights. Written by a team of leading specialists in IP law, the book will serve as an invaluable guide to navigating the complex and overlapping rights which protect innovation in this field.
Computer programs that simulate complex processes in the real world can provide a quantitative tool for determining how much debt can be added safely to a company's capital structure. The increasing number of bankruptcies and defaults in today's international business arena result from debt overload and point to major shortcomings in the conventional financial evaluation process. In this book, Roy L. Nersesian describes why current methods of risk management fail and how computer simulation can be employed to determine the safe level of debt more accurately. Because the decision to add debt to an organization requires favorable, and essentially independent, decisions from both the borrower and lender, it is necessary to quantify both perspectives. Through actual examples readers will learn how to do this and to translate an actual business situation into a simulation model or program. Current evaluation systems, according to Nersesian, fail to incorporate the cyclical nature of business activity. They result all too often in an overly optimistic projection of cash flow. Simulation techniques are better able to incorporate the transience of good times and put quantitative analysis of risk on par with quantitative analysis of reward. Simulation techniques also reduce the role of speculative, and highly subjective, judgment. For example, decisionmakers who are not familiar personally with a particular business area, assign more risk to that area than those who are. A quantified risk management system enables executives to rank projects by the degree of risk much as they currently rank them by degree of profitability. The book presents the concept of simulation in terms that can be understood by generalists in corporations and financial institutions. At the same time, it provides computer programmers with an understanding of risk management principles. It will provide a valuable resource for: financial executives, planners and strategists in corporate and governmental organizations; bank lending officers; and computer programmers working with these organizations.
The book is about a very active research field in software engineering. In modern society, the fact of the world's high reliance on software requires the system's robustness, i.e., continual availability and satisfactory service quality. This requirement gives rise to the popularity of the research on the self-adaptive software in open environment. There are some academic conferences dedicated to this field. But there is a lack of monographs about the topic. We believe such need is unmet in marketplace. By publishing the book, it can help bridge the gap and bring benefits to readers thereof. Key Features:
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