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Designing complex integrated circuits relies heavily on mathematical methods and calls for suitable simulation and optimization tools. The current design approach involves simulations and optimizations in different physical domains (device, circuit, thermal, electromagnetic) and in a range of electrical engineering disciplines (logic, timing, power, crosstalk, signal integrity, system functionality). COMSON was a Marie Curie Research Training Network created to meet these new scientific and training challenges by (a) developing new descriptive models that take these mutual dependencies into account, (b) combining these models with existing circuit descriptions in new simulation strategies, and (c) developing new optimization techniques that will accommodate new designs. The book presents the main project results in the fields of PDAE modeling and simulation, model order reduction techniques and optimization, based on merging the know-how of three major European semiconductor companies with the combined expertise of university groups specialized in developing suitable mathematical models, numerical schemes and e-learning facilities. In addition, a common Demonstrator Platform for testing mathematical methods and approaches was created to assess whether they are capable of addressing the industry’s problems, and to educate young researchers by providing hands-on experience with state-of-the-art problems.  .

Mathematics. --- Computational Science and Engineering. --- Nanotechnology and Microengineering. --- Appl.Mathematics/Computational Methods of Engineering. --- Nanoscale Science and Technology. --- Computer science. --- Engineering mathematics. --- Engineering. --- Mathématiques --- Informatique --- Mathématiques de l'ingénieur --- Ingénierie --- Mathematics --- Physical Sciences & Mathematics --- Mathematics - General --- Nanoelectronics. --- Nanoscale electronics --- Nanoscale molecular electronics --- Computer mathematics. --- Nanoscale science. --- Nanoscience. --- Nanostructures. --- Applied mathematics. --- Nanotechnology. --- Electronics --- Nanotechnology --- Mathematical and Computational Engineering. --- Engineering --- Engineering analysis --- Mathematical analysis --- Construction --- Industrial arts --- Technology --- Informatics --- Science --- Nanoscience --- Physics --- Nano science --- Nanoscale science --- Nanosciences --- Molecular technology --- Nanoscale technology --- High technology --- Computer mathematics --- Electronic data processing

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The volume includes selected and reviewed papers from the 3rd Conference on Ignition Systems for Gasoline Engines in Berlin in November 2016. Experts from industry and universities discuss in their papers the challenges to ignition systems in providing reliable, precise ignition in the light of a wide spread in mixture quality, high exhaust gas recirculation rates and high cylinder pressures. Classic spark plug ignition as well as alternative ignition systems are assessed, the ignition system being one of the key technologies to further optimizing the gasoline engine.

Ignition --- Gas and oil engines --- Gas engines --- Engineering. --- Transportation. --- Automotive engineering. --- Automotive Engineering. --- Internal combustion engines. --- Internal combustion engines --- Engines --- Gas producers --- Heat-engines --- Motors --- Construction --- Industrial arts --- Technology --- Public transportation --- Transport --- Transportation --- Transportation, Primitive --- Transportation companies --- Transportation industry --- Locomotion --- Commerce --- Communication and traffic --- Storage and moving trade --- Economic aspects

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This book contains the proceedings of the 17th European Conference on Mathematics for Industry, ECMI2012, held in Lund, Sweden, July 2012, at which ECMI celebrated its 25th anniversary. It covers mathematics in a wide range of applications and methods, from circuit and electromagnetic devices, environment, fibers, flow, medicine, robotics and automotive industry, further applications to methods and education. The book includes contributions from leading figures in business, science and academia who promote the application of mathematics to industry and emphasize industrial sectors that offer the most exciting opportunities. The contributions reinforce the role of mathematics as being a catalyst for innovation as well as an overarching resource for industry and business. The book features an accessible presentation of real-world problems in industry and finance, provides insight and tools for engineers and scientists which will help them to solve similar problems, and offers modeling and simulation techniques that will provide mathematicians with a source of fresh ideas and inspiration.

Engineering mathematics --- Computer science --- Differential Equations. --- Finance. --- Differential equations, partial. --- Mathematical optimization. --- Mathematical Modeling and Industrial Mathematics. --- Computational Mathematics and Numerical Analysis. --- Ordinary Differential Equations. --- Quantitative Finance. --- Partial Differential Equations. --- Calculus of Variations and Optimal Control; Optimization. --- Mathematics. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Partial differential equations --- Funding --- Funds --- Economics --- Currency question --- 517.91 Differential equations --- Differential equations --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Mathematics --- Mathematical models. --- Computer mathematics. --- Differential equations. --- Economics, Mathematical . --- Partial differential equations. --- Calculus of variations. --- Isoperimetrical problems --- Variations, Calculus of --- Mathematical economics --- Econometrics --- Models, Mathematical --- Methodology

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This book discusses the state-of-the-art and open problems in computational finance. It presents a collection of research outcomes and reviews of the work from the STRIKE project, an FP7 Marie Curie Initial Training Network (ITN) project in which academic partners trained early-stage researchers in close cooperation with a broader range of associated partners, including from the private sector. The aim of the project was to arrive at a deeper understanding of complex (mostly nonlinear) financial models and to develop effective and robust numerical schemes for solving linear and nonlinear problems arising from the mathematical theory of pricing financial derivatives and related financial products. This was accomplished by means of financial modelling, mathematical analysis and numerical simulations, optimal control techniques and validation of models. In recent years the computational complexity of mathematical models employed in financial mathematics has witnessed tremendous growth. Advanced numerical techniques are now essential to the majority of present-day applications in the financial industry. Special attention is devoted to a uniform methodology for both testing the latest achievements and simultaneously educating young PhD students. Most of the mathematical codes are linked into a novel computational finance toolbox, which is provided in MATLAB and PYTHON with an open access license. The bookoffers a valuable guide for researchers in computational finance and related areas, e.g. energy markets, with an interest in industrial mathematics.

Mathematics. --- Partial differential equations. --- Game theory. --- Economics, Mathematical. --- Computer mathematics. --- Probabilities. --- Partial Differential Equations. --- Game Theory, Economics, Social and Behav. Sciences. --- Quantitative Finance. --- Computational Mathematics and Numerical Analysis. --- Probability Theory and Stochastic Processes. --- Financial engineering. --- Computational finance --- Engineering, Financial --- Finance --- Differential equations, partial. --- Finance. --- Computer science --- Distribution (Probability theory. --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Funding --- Funds --- Economics --- Currency question --- Math --- Science --- Partial differential equations --- Mathematics --- Economics, Mathematical . --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Mathematical economics --- Econometrics --- Games, Theory of --- Theory of games --- Mathematical models --- Methodology

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This book is a collection of selected papers presented at the 10th International Conference on Scientific Computing in Electrical Engineering (SCEE), held in Wuppertal, Germany in 2014. The book is divided into five parts, reflecting the main directions of SCEE 2014: 1. Device Modeling, Electric Circuits and Simulation, 2. Computational Electromagnetics, 3. Coupled Problems, 4. Model Order Reduction, and 5. Uncertainty Quantification. Each part starts with a general introduction followed by the actual papers. The aim of the SCEE 2014 conference was to bring together scientists from academia and industry, mathematicians, electrical engineers, computer scientists, and physicists, with the goal of fostering intensive discussions on industrially relevant mathematical problems, with an emphasis on the modeling and numerical simulation of electronic circuits and devices, electromagnetic fields, and coupled problems. The methodological focus was on model order reduction and uncertainty quantification.