02609oam 2200505 450 99646672920331620211201195328.03-030-63643-710.1007/978-3-030-63643-2(CKB)4100000011728500(DE-He213)978-3-030-63643-2(MiAaPQ)EBC6459111(PPN)253254205(EXLCZ)99410000001172850020210618d2021 uy 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierPhysics and finance /Volker Ziemann1st ed. 2021.Cham, Switzerland :Springer,[2021]©20211 online resource (X, 286 p. 65 illus., 43 illus. in color.)Undergraduate Lecture Notes in Physics3-030-63642-9 Chapter 1 - Introduction -- Chapter 2 - Concepts of finance -- Chapter 3 - Portfolio theory and CAPM -- Chapter 4 - Stochastic processes -- Chapter 5 - Black-Scholes differential equation -- Chapter 6 - The Greeks and risk management -- Chapter 7 - Regression models and hypothesis testing -- Chapter 8 - Time series -- Chapter 9 - Bubbles, crashes, fat tails and Levy-stable distributions -- Chapter 10 - Quantum finance and path integrals -- Chapter 11 - Optimal control theory.This book introduces physics students to concepts and methods of finance. Despite being perceived as quite distant from physics, finance shares a number of common methods and ideas, usually related to noise and uncertainties. Juxtaposing the key methods to applications in both physics and finance articulates both differences and common features, this gives students a deeper understanding of the underlying ideas. Moreover, they acquire a number of useful mathematical and computational tools, such as stochastic differential equations, path integrals, Monte-Carlo methods, and basic cryptology. Each chapter ends with a set of carefully designed exercises enabling readers to test their comprehension.Undergraduate lecture notes in physics.Mathematical physicsFinanceFinanceMathematical modelsMathematical physics.Finance.FinanceMathematical models.530.15Ziemann Volker1051104MiAaPQMiAaPQUtOrBLWBOOK996466729203316Physics and finance2481397UNISA04580oam 2200697I 450 991095727710332120230725061010.09781040163054104016305X978042911311604291131109781439895047143989504X10.1201/9781439895047 (CKB)3710000000391203(EBL)1446674(SSID)ssj0001459075(PQKBManifestationID)12629118(PQKBTitleCode)TC0001459075(PQKBWorkID)11456136(PQKB)10663143(Au-PeEL)EBL1446674(CaPaEBR)ebr11166089(OCoLC)908077671(OCoLC)1114451840(FINmELB)ELB141326(MiAaPQ)EBC1446674(EXLCZ)99371000000039120320180706d2010 uy 0engur|n|---|||||txtccrIntelligent instrumentation principles and applications /by Manabendra BhuyanFirst edition.Boca Raton, FL :CRC Press, an imprint of Taylor and Francis,2010.1 online resource (548 p.)Description based upon print version of record.9781420089530 1420089536 Front cover; Contents; Preface; Acknowledgments; Author; Chapter 1. Background of Instrumentation; Chapter 2. Sensor Performance Characteristics; Chapter 3. Signals and System Dynamics; Chapter 4. Intelligent Sensors; Chapter 5. Linearization, Calibration, and Compensation; Chapter 6. Sensors with Artificial Intelligence; Chapter 7. Intelligent Sensor Standards and Protocols; Questions; Index; Back coverWith the advent of microprocessors and digital-processing technologies as catalyst, classical sensors capable of simple signal conditioning operations have evolved rapidly to take on higher and more specialized functions including validation, compensation, and classification. This new category of sensor expands the scope of incorporating intelligence into instrumentation systems, yet with such rapid changes, there has developed no universal standard for design, definition, or requirement with which to unify intelligent instrumentation.Explaining the underlying design methodologies of intelligent instrumentation, Intelligent Instrumentation: Principles and Applications provides a comprehensive and authoritative resource on the scientific foundations from which to coordinate and advance the field. Employing a textbook-like language, this book translates methodologies to more than 80 numerical examples, and provides applications in 14 case studies for a complete and working understanding of the material.Beginning with a brief introduction to the basic concepts of process, process parameters, sensors and transducers, and classification of transducers, the book describes the performance characteristics of instrumentation and measurement systems and discusses static and dynamic characteristics, various types of sensor signals, and the concepts of signal representations, various transforms, and their operations in both static and dynamic conditions. It describes smart sensors, cogent sensors, soft sensors, self-validating sensors, VLSI sensors, temperature-compensating sensors, microcontrollers and ANN-based sensors, and indirect measurement sensors.The author examines intelligent sensor signal conditioning such as calibration, linearization, and compensation, along with a wide variety of calibration and linearization techniques using circuits, analog-to-digital converters (ADCs), microcontrollers, ANNs, and software. The final chapters highlight ANN techniques for pattern classification, recognition, prognostic diagnosis, fault detection, linearization, and calibration as well as important interfacing protocols in the wireless networking platform.Intelligent control systemsEngineering instrumentsComputerized instrumentsDetectorsIntelligent control systems.Engineering instruments.Computerized instruments.Detectors.681.2TEC064000TEC008000bisacshBhuyan Manabendra1792449MiAaPQMiAaPQMiAaPQBOOK9910957277103321Intelligent instrumentation4331017UNINA