Thema Mathematik für Informatiker – alle Bücher online kaufen

Jeffrey G. Andrews, Harpreet S. Dhillon, Ahmad Alammouri, Abhishek K. Gupta
An Introduction to Cellular Network Analysis Using Stochastic Geometry

This book provides an accessible yet rigorous first reference for readers interested in learning how to model and analyze cellular network performance using stochastic geometry. In addition to the canonic…

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William C. Bauldry
Computational Calculus

This book offers readers the methods that are necessary to apply the power of calculus to analyze real problems. While most calculus textbooks focus on formula-based calculus, this book explains how to do…

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Rudolf Berghammer
Mathematik für die Informatik

Mathematik für die Informatik: Dieses Buch bringt Ihnen die Grundlagen bei Dieses Lehrbuch bietet eine Einführung in die grundlegenden Begriffe und Strukturen der Mathematik, welche am Anfang eines Inform…

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Lih-Yuan Deng, Ching-Chi Yang, Henry Horng-Shing Lu, Nirman Kumar
Random Number Generators for Computer Simulation and Cyber Security

This book discusses the theory and practice of random number generators that are useful for computer simulation and computer security applications. Random numbers are ubiquitous in computation. They are …

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Raymond Devillers, Eike Best
Petri Net Primer

Petri nets model concurrent and distributed systems where active components communicate through the production and absorption of various kinds of resources. Although the dynamic properties of such syste…

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Zden¿k Dostál, Tomá¿ Kozubek, Marie Sadowská, Vít Vondrák
Scalable Algorithms for Contact Problems

This book presents a comprehensive treatment of recently developed scalable algorithms for solving multibody contact problems of linear elasticity. The brand-new feature of these algorithms is their theor…

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Jeffrey A. Fessler, Raj Rao Nadakuditi
Linear Algebra for Data Science, Machine Learning, and Signal Processing

"Master basic matrix methods by seeing how the math is used in practice in a range of data-driven applications. Includes a wealth of engaging exercises for quizzes, self-study and interactive learning, as…

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Jürgen Fuß, Anna Vymazal
Kryptographie

Dieses Buch liefert einen Überblick über die wichtigsten kryptographischen Verfahren, insbesondere die ersten standardisierten quantensicheren Public-Key-Verfahren. Beim Aufbau des Buches (21 Kapitel in …

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David Harel,
Das Affenpuzzle und weitere bad news aus der Computerwelt

Aus dem Inhalt: 1. Worum geht es überhaupt? 2. Manchmal können wir es nicht 3. Manchmal ist es zu teuer - 4. Manchmal wissen wir es nicht 5. Schmerzlindernde Mittel 6. Schlechtes in Gutes verwandeln 7. Kö…

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Evgeny Kagan, Ronald Yager, Alexander Rybalov
Multi-valued Logic for Decision-Making Under Uncertainty

Multi-valued and fuzzy logics provide mathematical and computational tools for handling imperfect information and decision-making with rational collective reasoning and irrational individual judgements. …

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Manuel Kauers
D-Finite Functions

Defined as solutions of linear differential or difference equations with polynomial coefficients, D-finite functions play an important role in various areas of mathematics. This book is a comprehensive in…

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Friedrich V. Klopstock
V-Modell XT in der Praxis

Die erfolgreiche Durchführung von Softwareprojekten erfordert eine präzise Planung, strukturierte Prozesse und flexible Anpassungsfähigkeit. Das V-Modell XT bietet genau diese Elemente und hat sich als un…

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Friedrich V. Klopstock
V-Modell XT in der Praxis

Die erfolgreiche Durchführung von Softwareprojekten erfordert eine präzise Planung, strukturierte Prozesse und flexible Anpassungsfähigkeit. Das V-Modell XT bietet genau diese Elemente und hat sich als un…

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Kenneth Lange
Applied Probability

Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational techniques, and examples from the biological sciences. Chapter 1 revie…

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John H. Maindonald, W. John Braun, Jeffrey L. Andrews
A Practical Guide to Data Analysis Using R

Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on th…

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Franklin Mendivil, Ronald W. Shonkwiler
Explorations in Monte Carlo Methods

Monte Carlo Methods are among the most used, and useful, computational tools available today. They provide efficient and practical algorithms to solve a wide range of scientific and engineering problems i…

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Régis Ouvrard, Jean-Claude Trigeassou, Thierry Poinot
Partial Moments in System Identification

Lecture Notes in Control and Information Sciences -Band 494

This book provides a complete round-up of developments concerned with the application of partial moments in system identification and data-driven modelling; it captures the essence of work carried out at …

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Wolfgang Schreiner
Concrete Abstractions

This book demonstrates how to formally model various mathematical domains (including algorithms operating in these domains) in a way that makes them amenable to a fully automatic analysis by computer soft…

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Arthur David Snider
Basics of Optimization Theory

This book presents a short introduction to the main tools of optimization methodology including linear programming, steepest descent, conjugate gradients, and the Karush-Kuhn-Tucker-John conditions. Each …

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Elisabeth Stade, Eric Stade
Calculus: A Modeling and Computational Thinking Approach

This book is intended for a first-semester course in calculus, which begins by posing a question: how do we model an epidemic mathematically? The authors use this question as a natural motivation for the …

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