Description: Tackling the Inverse Problem for Non-Autonomous Systems Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Application to the Life Sciences Author(s): Tomislav Stankovski Format: Paperback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319032917, 978-3319032917 Synopsis This thesis presents a new method for following evolving interactions between coupled oscillatory systems of the kind that abound in nature. Examples range from the subcellular level, to ecosystems, through climate dynamics, to the movements of planets and stars. Such systems mutually interact, adjusting their internal clocks, and may correspondingly move between synchronized and non-synchronized states. The thesis describes a way of using Bayesian inference to exploit the presence of random fluctuations, thus analyzing these processes in unprecedented detail. It first develops the basic theory of interacting oscillators whose frequencies are non-constant, and then applies it to the human heart and lungs as an example. Their coupling function can be used to follow with great precision the transitions into and out of synchronization. The method described has the potential to illuminate the ageing process as well as to improve diagnostics in cardiology, anesthesiology and neuroscience, and yields insights into a wide diversity of natural processes.
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Book Title: Tackling the Inverse Problem for Non-Autonomous Systems
Number of Pages: 135 Pages
Language: English
Publication Name: Tackling the Inverse Problem for Non-Autonomous Systems: Application to the Life Sciences
Publisher: Springer International Publishing A&G
Publication Year: 2015
Subject: Engineering & Technology, Geography & Geosciences, Biology, Mathematics, Physics
Item Height: 235 mm
Item Weight: 2409 g
Type: Textbook
Author: Tomislav Stankovski
Series: Springer Theses
Item Width: 155 mm
Format: Paperback