Applied Mathematics – alle Bücher, Seite 2

Lothar Papula
Mathematik für Ingenieure und Naturwissenschaftler Band 2

In Naturwissenschaften und Technik nutzen Studierende und Fachleute in der Praxis die Mathematik als Hilfsmittel und Werkzeug. Auch der vorliegende Band 2 des sechsteiligen Lehr- und Lernsystems bietet ei…

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Lothar Papula
Mathematische Formelsammlung

Diese Formelsammlung ist Teil des sechsbändigen Lehr- und Lernsystems zur Mathematik für Ingenieure und Naturwissenschaftler. Mit seinem ausführlichen Inhalts- und Sachwortverzeichnis ermöglicht es das sc…

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Katarzyna Kopczewska
Modelling Spatial Density

Bridging the worlds of spatial statistics, spatial econometrics, and spatial machine learning, Kopczewska introduces a range of established and novel techniques in spatial density modelling, made accessib…

lieferbar ab 18.11.2025.

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András Horváth, Miklós Telek
Phase Type Distributions

Phase type distributions are widely applicable modeling and statistical tools for non-negative random quantities. They are built on Markov chains, which provide a simple, intuitive stochastic interpretati…

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Mathematics and Computer Science for Real-World Applications, Volume 4

Mathematics and Computer Science for Real-World Applications gives invaluable insights into how mathematical and computer sciences drive essential modern innovations that enhance everyday life, making it …

lieferbar in mind. 4 Wochen

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Ritu Shrivastava, Ramakant Bhardwaj, Satyendra Narayan
Mathematics for Engineers

Mathematics for Engineers serves as a comprehensive guide on the basics of mathematics and their applications in engineering for students and seasoned professionals alike.Mathematics for Engineers is desi…

lieferbar in mind. 4 Wochen

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Vignon Oussa
A Bridge Between Lie Theory and Frame Theory

Comprehensive textbook examining meaningful connections between the subjects of Lie theory, differential geometry, and signal analysisA Bridge Between Lie Theory and Frame Theory serves as a bridge betwee…

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Graham J G Upton
A Modern Introduction to Probability and Statistics

Probability and statistics are subjects fundamental to data analysis, making them essential for efficient artificial intelligence. Although the foundational concepts of probability and statistics remain c…

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Applied Mathematical Analysis and Computations II

This volume convenes selected, peer-reviewed research and survey articles that address the modern state-of-the-art in varied areas of applied mathematical analysis. They were presented at the 1st Southern…

lieferbar innerhalb 2-3 Wochen

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Applied Mathematical Analysis and Computations I

This volume convenes selected, peer-reviewed research and survey articles that address the modern state-of-the-art in varied areas of applied mathematical analysis. They primarily include presentations as…

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Lester Randolph Ford, D R Fulkerson
Flows in Networks

A landmark work that belongs on the bookshelf of every researcher working with networks In this classic book, first published in 1962, L. R. Ford, Jr., and D. R. Fulkerson set the foundation for the stud…

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Peter Diggle, Emanuele Giorgi
Time Series

A time series is a sequence of measurements on a process whose future behaviour cannot be predicted exactly from past and current observations. This book focuses on applications in the biomedical and heal…

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Markus Neuhäuser, Graeme D Ruxton
The Statistical Analysis of Small Data Sets

This book offers advice on the statistical analysis of small data sets (which are often used for ethical, financial, or practical reasons) for various designs and levels of measurement, helping researcher…

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Markus Neuhäuser, Graeme D Ruxton
The Statistical Analysis of Small Data Sets

This book offers advice on the statistical analysis of small data sets (which are often used for ethical, financial, or practical reasons) for various designs and levels of measurement, helping researcher…

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Philip K. Maini
Mathematical Biology

Very Short Introductions

Mathematical biology develops models which are applied to processes in biology and medicine. Philip K. Maini describes the art of modelling, what it is, why we do it.

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Reinhard Heckel
Deep Learning for Computational Imaging

This textbook offers an introduction to deep learning for solving inverse problems. It introduces deep neural networks and deep neural network based signal and image reconstruction techniques. It discusse…

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Advances in Mathematical Modelling, Applied Analysis and Computation

This book is a collection of research papers from the "7th International Conference on Mathematical Modelling, Applied Analysis and Computation" organized by Lebanese American University, Beirut…

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Advances in Mathematical Modelling, Applied Analysis and Computation

This book is a collection of research papers from the "7th International Conference on Mathematical Modelling, Applied Analysis and Computation" organized by Lebanese American University, Beirut…

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P A Davidson
Waves

Waves are ubiquitous in nature. Waves: An Introduction for Physicists and Engineers focuses primarily on the classical fields of elasticity, fluid mechanics, and electrodynamics, also exploring waves in b…

lieferbar ab 23.3.2026.

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Tom Chivers
Everything Is Predictable

A "fascinating, witty, and perspective-shifting" (Oliver Burkeman, New York Times bestselling author) tour of Bayes's theorem and its global impact on modern life from the acclaimed science writ…

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