Listing 1 - 10 of 3095 | << page >> |
Sort by
|
Choose an application
In diesem Buch werden Grundlagen der numerischen Mathematik, interaktive Beispiele und praxisnahe Anwendungen miteinander verknüpft und anschaulich dargestellt. Unterstützt werden die Inhalte mit einer Vielzahl von Applikationen, die auf der Webseite des Autors kostenlos zur Verfügung stehen und deren Codes selbst editiert sowie weiterentwickelt werden können. In der didaktischen Ausrichtung des Werkes wurde insbesondere Wert darauf gelegt, auf langwierige Beweise und Herleitungen zu verzichten, so dass zum Verständnis sämtlicher Inhalte lediglich grundlegende Kenntnisse aus der Differenzial- und Integralrechnung sowie der linearen Algebra vorausgesetzt werden. Zusammenfassend besteht das Augenmerk der vorliegenden Ausarbeitung darin, die Freude und das Interesse am Lösen numerischer Probleme zu wecken sowie den Einstieg zur Lösung praxisnaher Aufgabenstellungen zu erleichtern. Der Autor Dr. Daniel Scholz, Braunschweig.
Choose an application
Computer science --- Computer mathematics --- Electronic data processing --- Mathematics --- Mathematics.
Choose an application
Computer science --- Mathematics --- Mathematics. --- Computer mathematics --- Electronic data processing
Choose an application
Computer science --- Mathematics. --- Computer mathematics --- Electronic data processing --- Mathematics
Choose an application
Computer science --- Mathematics. --- Computer mathematics --- Electronic data processing --- Mathematics
Choose an application
Computer science --- Mathematics. --- Computer mathematics --- Electronic data processing --- Mathematics
Choose an application
High Performance Computing (HPC) remains a driver that offers huge potentials and benefits for science and society. However, a profound understanding of the computational matters and specialized software is needed to arrive at effective and efficient simulations. Dedicated software tools are important parts of the HPC software landscape, and support application developers. Even though a tool is by definition not a part of an application, but rather a supplemental piece of software, it can make a fundamental difference during the development of an application. Such tools aid application developers in the context of debugging, performance analysis, and code optimization, and therefore make a major contribution to the development of robust and efficient parallel software. This book introduces a selection of the tools presented and discussed at the 9th International Parallel Tools Workshop held in Dresden, Germany, September 2-3, 2015, which offered an established forum for discussing the latest advances in parallel tools.
Mathematics. --- Computer mathematics. --- Computational Science and Engineering. --- High performance computing --- Computer science. --- Informatics --- Science --- Computer mathematics --- Electronic data processing --- Mathematics
Choose an application
This edited volume on data science features a variety of research ranging from theoretical to applied and computational topics. Aiming to establish the important connection between mathematics and data science, this book addresses cutting edge problems in predictive modeling, multi-scale representation and feature selection, statistical and topological learning, and related areas. Contributions study topics such as the hubness phenomenon in high-dimensional spaces, the use of a heuristic framework for testing the multi-manifold hypothesis for high-dimensional data, the investigation of interdisciplinary approaches to multi-dimensional obstructive sleep apnea patient data, and the inference of a dyadic measure and its simplicial geometry from binary feature data. Based on the first Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place in 2017 at the Institute for Compuational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, this volume features submissions from several of the working groups as well as contributions from the wider community. The volume is suitable for researchers in data science in industry and academia. .
Science --- Data processing. --- Electronic data processing --- Computer science—Mathematics. --- Computer mathematics. --- Mathematical Applications in Computer Science. --- Computer mathematics --- Mathematics
Choose an application
The book contains reproductions of the most important papers that gave birth to the first developments in nonlinear programming. Of particular interest is W. Karush's often quoted Master Thesis, which is published for the first time. The anthology includes an extensive preliminary chapter, where the editors trace out the history of mathematical programming, with special reference to linear and nonlinear programming.
Computer science. --- Mathematics. --- Math --- Informatics --- Computer mathematics. --- History. --- Computational Science and Engineering. --- History of Mathematical Sciences. --- Science --- Annals --- Auxiliary sciences of history --- Computer mathematics --- Electronic data processing --- Mathematics
Choose an application
This textbook teaches finite element methods from a computational point of view. It focuses on how to develop flexible computer programs with Python, a programming language in which a combination of symbolic and numerical tools is used to achieve an explicit and practical derivation of finite element algorithms. The finite element library FEniCS is used throughout the book, but the content is provided in sufficient detail to ensure that students with less mathematical background or mixed programming-language experience will equally benefit. All program examples are available on the Internet.
Computer science --- Computational Mathematics and Numerical Analysis. --- Mathematics. --- Computer mathematics --- Electronic data processing --- Mathematics --- Variational inequalities (Mathematics) --- Inequalities, Variational (Mathematics) --- Calculus of variations --- Differential inequalities --- Computer mathematics.
Listing 1 - 10 of 3095 | << page >> |
Sort by
|