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Numerical Methods for Partial Differential Equations
Numerical Methods for Partial Differential Equations: Finite Difference and Finite Volume Methods focuses on two popular deterministic methods for solving partial differential equations (PDEs), namely finite difference and finite volume methods. The solution of PDEs can be very challenging, depending on the type of equation, the number of independent variables, the boundary, and initial conditions, and other factors. These two methods have been traditionally used to solve problems involving fluid flow. For practical reasons, the finite element method, used more often for solving problems in solid mechanics, and covered extensively in various other texts, has been excluded. The book is intend...
Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems
This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the fields in real-time. After good training, the proposed architecture can resolve both the forward computing and the inverse retrieve problems. Pursuing a holistic perspective, the book includes the following areas. The first chapter discusses the basic DL frameworks. Then, the steady heat conduction problem is solved by the classical U-net in Chapter 2, involving both the passive and active cases. Afterwards, the sophisticated heat flux on a curved surface is reconstructed by the presented Conv-L...
High Performance Computing in Clouds
This book brings a thorough explanation on the path needed to use cloud computing technologies to run High-Performance Computing (HPC) applications. Besides presenting the motivation behind moving HPC applications to the cloud, it covers both essential and advanced issues on this topic such as deploying HPC applications and infrastructures, designing cloud-friendly HPC applications, and optimizing a provisioned cloud infrastructure to run this family of applications. Additionally, this book also describes the best practices to maintain and keep running HPC applications in the cloud by employing fault tolerance techniques and avoiding resource wastage. To give practical meaning to topics cove...
Micro Nano Devices, Structure and Computing Systems III
Selected, peer reviewed papers from the 2014 3rd International Conference on Micro Nano Devices, Structure and Computing Systems (MNDSCS 2014), March 1-2, 2014, Singapore
Quantitative Finance with Python
Quantitative Finance with Python: A Practical Guide to Investment Management, Trading and Financial Engineering bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management. The book provides students with a very hands-on, rigorous introduction to foundational topics in quant finance, such as options pricing, portfolio optimization and machine learning. Simultaneously, the reader benefits from a strong emphasis on the practical applications of these concepts for institutional investors. Features Useful as both a teaching resource and as a practical tool for professional investors. Ideal textbook for first year graduate students in quantitative finance programs, such as those in master’s programs in Mathematical Finance, Quant Finance or Financial Engineering. Includes a perspective on the future of quant finance techniques, and in particular covers some introductory concepts of Machine Learning. Free-to-access repository with Python codes available at www.routledge.com/ 9781032014432 and on https://github.com/lingyixu/Quant-Finance-With-Python-Code.
Radiative Heat Transfer
Offers a comprehensive treatment of heat transfer. In addition to the standard topics usually covered, it also includes a number of modern state-of-the-art topics including: radiative properties of particles, generation of P-N approximation and collimated irradiation.
Field Theory of Nonimaging Optics
This book aims to overcome the traditional ray paradigm and provide an analytical paradigm for Nonimaging Optics based on Field Theory. As a second objective, the authors address the connections between this Field Theory of Nonimaging Optics and other radiative transfer theories. The book introduces the Field Theory of Nonimaging Optics as a new analytical paradigm, not statistical, to analyze problems in the frame of nonimaging geometrical optics, with a formulation based on field theory of irradiance vector D. This new paradigm provides new principles and tools in the optical system design methods, complementary to flowline method, overcoming the classical ray paradigm. This new Field para...
Inflation Dynamics in Advanced Economies: A Decomposition Into Cyclical and Non-Cyclical Factors
Inflation and unemployment rate were largely disconnected between 2000 and 2019 in advanced economies. We decompose core inflation into two parts based on the cyclical sensitivity of CPI components and document several salient facts: (i) both the cyclical and non-cyclical parts had surges across advaced economies in 2011, when unemployment rates had limited changes; (ii) the non-cyclical part had a downward trend between 2012 and 2019, which existed across countries, sectors, goods, and services; (iii) global indexes such as oil price, shipping costs, and a global supply chain pressure index do not explain the downward trend; and (iv) the cyclical part, after controlling for the impact of economic slack, also had a downward trend between 2012 and 2019. These patterns help disentangle competing explanations for the disconnect between inflation and unemployment rate. The approach has potential to help understand forces shaping price pressures during the pandemic and in the post-pandemic period ahead.
Small and Medium Scale Enterprises in India
Small and medium enterprises (SME) have attracted increasing interest in the last few years, and industrialization is no longer seen as a linear way of development. This book analyzes how SME clusters emerge in a developing economy. Using India as a case study, it addresses one central question: If growth has largely failed to be inclusive so far, and if employing a work force in increasing returns activities through a different trajectory of industrialization is largely dependent upon industrial clusters of small and medium sized firms, then what are the structural infirmities and asymmetries that need to be taken into account in the context of framing policies related to industrial cluster...
