• usp_easy_retunsاسترجاع مجاني وسهل
  • usp_best_dealsأفضل العروض
placeholder
Applied Stochastic Differential Equations
magnifyZoom

Applied Stochastic Differential Equations

معذرة! هذا المنتج غير متوفر.
متوفر قريبا
نظرة عامة على المنتج

المواصفات

الناشرCambridge University Press
رقم الكتاب المعياري الدولي 101316649466
وصف الكتابStochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties that are useful in modeling uncertainties and noisy phenomena in many disciplines. This book is motivated by applications of stochastic differential equations in target tracking and medical technology and, in particular, their use in methodologies such as filtering, smoothing, parameter estimation, and machine learning. It builds an intuitive hands-on understanding of what stochastic differential equations are all about, but also covers the essentials of Itô calculus, the central theorems in the field, and such approximation schemes as stochastic Runge–Kutta. Greater emphasis is given to solution methods than to analysis of theoretical properties of the equations. The book''s practical approach assumes only prior understanding of ordinary differential equations. The numerous worked examples and end-of-chapter exercises include application-driven derivations and computational assignments. MATLAB/Octave source code is available for download, promoting hands-on work with the methods.
تنسيق الكتابPaperback
تاريخ النشر2019-05-02
رقم الكتاب المعياري الدولي 139781316649466
عن المؤلفSimo Särkkä is Associate Professor of Electrical Engineering and Automation at Aalto University, Finland, Technical Advisor at IndoorAtlas Ltd., and Adjunct Professor at Tampere University of Technology and Lappeenranta University of Technology. His research interests are in probabilistic modeling and sensor fusion for location sensing, health technology, and machine learning. He has authored over ninety peer-reviewed scientific articles as well as one book, titled Bayesian Filtering and Smoothing (Cambridge, 2013).Arno Solin is an Academy of Finland Postdoctoral Researcher with Aalto University, Finland and Technical Advisor at IndoorAtlas Ltd. His research interests focus on models and applications in sensor fusion for tracking and navigation, brain imaging, and machine learning problems. He has published over twenty peer-reviewed scientific papers, and has won several hackathons and competitions in mathematical modeling, including the 2014 Schizophrenia classification on Kaggle.
الكاتبArno Solin
اللغةEnglish
عدد الصفحات326 pages
Applied Stochastic Differential Equations
Applied Stochastic Differential Equations
معذرة! هذا المنتج غير متوفر.
متوفر قريبا

نحن دائماً جاهزون لمساعدتك

تواصل معنا من خلال أي من قنوات الدعم التالية:

تسوق أينما كنت