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This book develops a class of graded finite element methods to solve singular elliptic boundary value problems in... Read More >>
Dieses Lehrbuch wendet sich hauptsächlich an Studierende der Ingenieur- und Naturwissenschaften sowie der Informatik,... Read More >>
This book gathers a selection of peer-reviewed papers presented at the 3rd International Conference on Experimental... Read More >>
This textbook presents the essential tools and core concepts of data science to public officials, policy analysts,... Read More >>
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This book aims to describe the basis meshing theory of roller enveloping worm gear and provides the new design and... Read More >>
The book covers different aspects of real-world applications of optimization algorithms. The book consists of research... Read More >>
A new third edition of John R. Taylor’s best-selling text that features Bayesian statistics and updated new chapter-ending... Read More >>
Describes the mathematical principles of the finite element method, a technique that turns a (linear) partial differential... Read More >>
The first book on complexity to cover topics such as composite and constrained optimization, derivative-free optimization,... Read More >>
This contributed volume presents some of the latest research related to model order reduction of complex dynamical... Read More >>
Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6: Proceedings of the 39th IMAC, A Conference... Read More >>
Mathematische Modellierung (MM) dient als Planungswerkzeug für Entscheidungen, von denen wir alle zunehmend betroffen... Read More >>
This volume includes contributions from the 9th Parallel-in-Time (PinT) workshop, an annual gathering devoted to... Read More >>
This volume explores the connections between mathematical modeling, computational methods, and high performance... Read More >>
This book gathers the latest advances, innovations, and applications in the field of computational engineering,... Read More >>
This book uses numerical analysis as the main tool to investigate methods in machine learning and A.I. The efficiency... Read More >>
These techniques are unique for the discretisation of first-kind integral equations since the resulting systems... Read More >>
This book provides an introduction to deformation quantization and its relation to quantum field theory, with a... Read More >>
A text that describes the numerical methods that have come to be known as 'Monte Carlo.' It provides the basic detail... Read More >>
This book is devoted to a detailed study of the subgradient projection method and its variants for convex optimization... Read More >>
The book provides a collection of recent applications of nature inspired optimization in industrial fields. The... Read More >>
Multilayer neural networks based on multi-valued neurons (MLMVNs) have been proposed to combine the advantages of... Read More >>
A variety of research topics in this context are covered, including (i) high-quality spline surfaces on complex... Read More >>
MCU explores computation in the setting of various discrete models (Turing machines, register machines, cellular... Read More >>