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| Author | : Joachim Rosenthal |
| Publisher | : |
| Total Pages | : 520 |
| Release | : 2003-09-02 |
| Genre | : |
| ISBN | : 9781468493825 |
| Author | : Joachim Rosenthal |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 528 |
| Release | : 2003-09-02 |
| Genre | : Science |
| ISBN | : 9780387403199 |
This volume contains survey and research articles by some of the leading researchers in mathematical systems theory - a vibrant research area in its own right. Many authors have taken special care that their articles are self-contained and accessible also to non-specialists.
| Author | : Joachim Rosenthal |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 508 |
| Release | : 2012-12-06 |
| Genre | : Science |
| ISBN | : 0387216960 |
This volume contains survey and research articles by some of the leading researchers in mathematical systems theory - a vibrant research area in its own right. Many authors have taken special care that their articles are self-contained and accessible also to non-specialists.
| Author | : Anders Rantzer |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 392 |
| Release | : 2002-11-05 |
| Genre | : Computers |
| ISBN | : 3540000658 |
For more than three decades, Anders Lindquist has delivered fundamental cont- butions to the ?elds of systems, signals and control. Throughout this period, four themes can perhaps characterize his interests: Modeling, estimation and ?ltering, feedback and robust control. His contributions to modeling include seminal work on the role of splitting subspaces in stochastic realization theory, on the partial realization problem for both deterministic and stochastic systems, on the solution of the rational covariance extension problem and on system identi?cation. His contributions to ?ltering and estimation include the development of fast ?ltering algorithms, leading to a nonlinear dynamical system which computes spectral factors in its steady state, and which provide an alternate, linear in the dimension of the state space, to computing the Kalman gain from a matrix Riccati equation. His further research on the phase portrait of this dynamical system gave a better understanding of when the Kalman ?lter will converge, answering an open question raised by Kalman. While still a student he established the separation principle for stochastic function differential equations, including some fundamental work on optimal control for stochastic systems with time lags. He continued his interest in feedback control by deriving optimal and robust control feedback laws for suppressing the effects of harmonic disturbances. Moreover, his recent work on a complete parameterization of all rational solutions to the Nevanlinna-Pick problem is providing a new approach to robust control design.
| Author | : Alain Bensoussan |
| Publisher | : Elsevier |
| Total Pages | : 743 |
| Release | : 2009-06-16 |
| Genre | : Mathematics |
| ISBN | : 0080931006 |
Mathematical finance is a prolific scientific domain in which there exists a particular characteristic of developing both advanced theories and practical techniques simultaneously. Mathematical Modelling and Numerical Methods in Finance addresses the three most important aspects in the field: mathematical models, computational methods, and applications, and provides a solid overview of major new ideas and results in the three domains. Coverage of all aspects of quantitative finance including models, computational methods and applications Provides an overview of new ideas and results Contributors are leaders of the field
| Author | : Jan C. Willems |
| Publisher | : Springer |
| Total Pages | : 391 |
| Release | : 2010-03-10 |
| Genre | : Science |
| ISBN | : 3540939180 |
This Festschrift, published on the occasion of the sixtieth birthday of Yutaka - mamoto (‘YY’ as he is occasionally casually referred to), contains a collection of articles by friends, colleagues, and former Ph.D. students of YY. They are a tribute to his friendship and his scienti?c vision and oeuvre, which has been a source of inspiration to the authors. Yutaka Yamamoto was born in Kyoto, Japan, on March 29, 1950. He studied applied mathematics and general engineering science at the Department of Applied Mathematics and Physics of Kyoto University, obtaining the B.S. and M.Sc. degrees in 1972 and 1974. His M.Sc. work was done under the supervision of Professor Yoshikazu Sawaragi. In 1974, he went to the Center for Mathematical System T- ory of the University of Florida in Gainesville. He obtained the M.Sc. and Ph.D. degrees, both in Mathematics, in 1976 and 1978, under the direction of Professor Rudolf Kalman.
| Author | : Douglas N. Arnold |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 247 |
| Release | : 2007-01-26 |
| Genre | : Mathematics |
| ISBN | : 0387380345 |
The IMA Hot Topics workshop on compatible spatialdiscretizations was held in 2004. This volume contains original contributions based on the material presented there. A unique feature is the inclusion of work that is representative of the recent developments in compatible discretizations across a wide spectrum of disciplines in computational science. Abstracts and presentation slides from the workshop can be accessed on the internet.
| Author | : Michael R. Berthold |
| Publisher | : Springer Nature |
| Total Pages | : 601 |
| Release | : 2020-04-22 |
| Genre | : Computers |
| ISBN | : 3030445844 |
This open access book constitutes the proceedings of the 18th International Conference on Intelligent Data Analysis, IDA 2020, held in Konstanz, Germany, in April 2020. The 45 full papers presented in this volume were carefully reviewed and selected from 114 submissions. Advancing Intelligent Data Analysis requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over performance: a solid motivation can be as convincing as exhaustive empirical evaluation.
| Author | : Clinton Aigbavboa |
| Publisher | : Springer Nature |
| Total Pages | : 1236 |
| Release | : 2023-02-17 |
| Genre | : Technology & Engineering |
| ISBN | : 303125998X |
This book presents papers from the 11th Sustainable Education and Development Research Conference on the theme: "Build Resilient Infrastructure, Promote Inclusive and Sustainable Industrialization, and Foster Innovation." Papers related to the sub-themes were presented: i. Develop quality, reliable, sustainable, and resilient infrastructure, including regional and transborder infrastructure, to support economic development and human well-being, with a focus on affordable and equitable access for all. ii. Promote inclusive and sustainable industrialization and, by 2030, significantly raise industry's share of employment and gross domestic product, in line with national circumstances, and double its share in the least developed countries. iii. Increase the access of small-scale industrial and other enterprises, in particular in developing countries, to financial services, including affordable credit, and their integration into value chains and markets. iv. By 2030, upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities. v. Enhance scientific research and upgrade the technological capabilities of industrial sectors in all countries, in particular developing countries, including, by 2030, encouraging innovation and substantially increasing productivity. SEDRC gathers papers that explain how key education on the Sustainable Development Goals is transforming lives, eradicating poverty, professing solutions to the infrastructural deficit in Africa, and providing innovative ways to provide affordable housing in Africa. This book will be of interest to academics, postgraduate students, and industry professionals.
| Author | : Claude Greengard |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 166 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 146849256X |
In the ideal world, major decisions would be made based on complete and reliable information available to the decision maker. We live in a world of uncertainties, and decisions must be made from information which may be incomplete and may contain uncertainty. The key mathematical question addressed in this volume is "how to make decision in the presence of quantifiable uncertainty." The volume contains articles on model problems of decision making process in the energy and power industry when the available information is noisy and/or incomplete. The major tools used in studying these problems are mathematical modeling and optimization techniques; especially stochastic optimization. These articles are meant to provide an insight into this rapidly developing field, which lies in the intersection of applied statistics, probability, operations research, and economic theory. It is hoped that the present volume will provide entry to newcomers into the field, and stimulation for further research.
