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This book presents the fundamental notions and advanced mathematical tools in the stochastic modeling of uncertainties and their quantification for large-scale computational models in sciences and engineering. In particular, it focuses in parametric uncertainties, and non-parametric uncertainties with applications from the structural dynamics and vibroacoustics of complex mechanical systems, from micromechanics and multiscale mechanics of heterogeneous materials. Resulting from a course developed by the author, the book begins with a description of the fundamental mathematical tools of probability and statistics that are directly useful for uncertainty quantification. It proceeds with a well carried out description of some basic and advanced methods for constructing stochastic models of uncertainties, paying particular attention to the problem of calibrating and identifying a
A textbook for students with limited background in mathematics and computer coding, emphasizing computer tutorials that guide readers in producing models of neural behavior.This introductory text teaches students to understand, simulate, and analyze the complex behaviors of individual neurons and
Advanced Control Systems: Theory and Applications provides an overview of advanced research lines in control systems as well as in design, development and implementation methodologies for perspective control systems and their components in different areas of industrial and special applications.It
The story of an engineering marvel of the modern age, from an author and broadcaster specialised in transport
'Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence.' - Prof. Terrence J. Sejnowski, Computational Neurobiologist The main objective of this book is to create awareness about both the promises and the formidable challenges that the
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years
An amazing pop-up version of the bestselling classic story with groundbreaking paper engineering and Tenniel inspired
An introduction to algorithms for readers with no background in advanced mathematics or computer science, emphasizing examples and real-world problems.Algorithms are what we do in order not to have to do something. Algorithms consist of instructions to carry out tasks--usually dull, repetitive
'I went from an indifferent apathetic Sunday Mass attending Catholic Christian to an on fire Catholic Christian in a few short years. What reignited my faith? The many encounters I had with the occult and diabolical.' So says renowned Catholic apologist and retired veteran of the Los Angeles
Humanity is in a race with catastrophe and charting the course to a regenerative economy is the most important work facing the world. A Finer Future gathers the evidence and delivers the essential blueprint for an economy that works for people and the
The purpose of this book is to provide the reader with a solid background and understanding of the basic results and methods in probability theory before entering into more advanced courses (in probability and/or statistics). The presentation is fairly thorough and detailed with many solved
Provides a valuable contribution in the field of neurocritical care with an approach to the role of the advanced practice clinicianAddresses the needs of this population with a wide range of common Neuro ICU diagnoses and management including end of life issuesOffers a frame of reference with