Thema Algorithmen und Datenstrukturen – alle Bücher, Seite 3

Duc Truong Pham, Marco Castellani, Luca Baronti
Intelligent Optimisation with the Bees Algorithm

Introduction.- The Bees algorithm.- Empirical study.- Analytical study.- Case study: Robot control optimisation.- Case study: PCB assembly optimisation.- Case study: Multi-solution problems.- Latest devel…

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Duc Truong Pham, Marco Castellani, Luca Baronti
Intelligente Optimierung mit dem Bienenalgorithmus

Dieses Buch bietet einen Leitfaden zum Verständnis, zur Implementierung und zur Anwendung des Bienenalgorithmus -- einer leistungsstarken, naturinspirierten Optimierungs-Metaheuristik, die das Sammelverha…

lieferbar ab 10.3.2026.

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Zhiwei Qin (Tony), Xiaocheng Tang, Qingyang Li, Hongtu Zhu
Reinforcement Learning in the Ridesharing Marketplace

This book provides a comprehensive overview of reinforcement learning for ridesharing applications. The authors first lay out the fundamentals of the ridesharing system architectures and review the basics…

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Harvard Business Review, Satya Nadella, Thomas H Davenport, Marco Iansiti
Hbr's 10 Must Reads on Data Strategy (Featuring Democratizing Transformation by Marco Iansiti and Satya Nadella)

Your data is your business. Is it supporting your strategy?Algorithms, machine learning, generatiData is your business. Have you unlocked its full potential?If you read nothing else on data strategy, read…

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Harvard Business Review, Satya Nadella, Thomas H Davenport, Marco Iansiti
Hbr's 10 Must Reads on Data Strategy (Featuring Democratizing Transformation by Marco Iansiti and Satya Nadella)

Data is your business. Have you unlocked its full potential?If you read nothing else on data strategy, read this book. We've combed through hundreds of Harvard Business Review articles and selected the mo…

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Rowi&
Mapmatics

An "original" (Nature ) and "expansive journey through time and place" (Guardian) that uncovers the surprising connections between math and maps--and the myriad ways they've shaped our…

lieferbar ab 12.5.2026.

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Stefan Sandfeld
Materials Data Science

Introduction to Data, Data Mining, and Prediction in Materials Science.- A Primer on Probabilities, Distributions and Statistics.- Introduction to Statistical Machine Learning.- Artificial Neural Networks…

lieferbar innerhalb 2-3 Wochen

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Marc Scheufen, Armin Mertens
Datenbearbeitung und -visualisierung mit R

Einführung.- Daten bearbeiten und strukturieren mit tidyverse.- Daten visualisieren mit ggplot.- Weiterführende Visualisierungen mit ggplot, gganimate, stargazer und sf für Geodaten.- Einführung in simula…

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Abhronil Sengupta, Shriram Ramanathan
Introduction to Neuromorphic Computing

Artificial intelligence is transforming industries and society, but its high energy demands challenge global sustainability goals. Biological intelligence, in contrast, offers both good performance and ex…

lieferbar in mind. 4 Wochen

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Ronald W. Shonkwiler, Franklin Mendivil
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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Bernd Stiegler
Bildpolitiken der Identität

Kleine Edition (August Verlag)

>>Warum vertrauen wir Fotografien, wenn es um Identität geht?<<, fragt Bernd Stiegler angesichts einer allseits beklagten Flut von Bildern, die noch dazu leicht zu manipulieren oder gar per KI…

sofort lieferbar

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John T. Tate, Joseph H. Silverman
Rational Points on Elliptic Curves

The theory of elliptic curves involves a pleasing blend of algebra, geometry, analysis, and number theory. This volume stresses this interplay as it develops the basic theory, thereby providing an opportu…

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Rosario Toscano
Solving Optimization Problems with the Heuristic Kalman Algorithm

1 Introduction.- 2 Stochastic Optimization Methods.- 3 Heuristic Kalman Algorithm.- 4 Some Notions on System Modeling.- 5 Robust Control of Uncertain Parametric Systems.- 6 Preventive Maintenance.- 7 Mach…

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Mario Vanhoucke
A Quest for Projects with Scarce Resources

Based on the shared journey of two researchers, this book explores enhancing algorithms for the resource-constrained project scheduling problem. It examines the search for and significance of project data…

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Paolo Vanini
Diskrete Mathematik für Algorithmen

Zahlen und Mengen.- Arithmetik.- Folgen, Summen und vollständige Induktion.- Zahlensysteme.- Spezielle Mengen.- Logik.- Abbildungen und Funktionen.- Relationen.- Einführung in die Modulare Artihmetik.- Ei…

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Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg
Deep Learning Crash Course

A complete guide to deep neural networks -- the technology behind AI -- covering fundamental and advanced techniques to apply machine learning in real-world scenarios.Deep Learning Crash Course goes beyon…

lieferbar ab 6.1.2026.

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Emily Wall
Human Bias in Visual Data Analysis

Synthesis Lectures on Visualization

This open access book demonstrates how human biases affect the process of visual data analysis, a subject which has typically been left to researchers in cognitive and perceptual psychology and the social…

lieferbar ab 7.2.2026.

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Jochen Ziegenbalg
Algorithmik Eine universelle Methode im Überblick

Dieses essential zeigt aus einer allgemeinbildenden und allgemeinverständlichen Perspektive, wie universell und bedeutend die algorithmische Methode ist. Es beleuchtet dabei sowohl die historischen Anfäng…

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Advances in Computer Graphics

The three-volume set LNCS 15338, 15339 and 15340 constitutes the refereed proceedings from the 41st Computer Graphics International Conference, CGI 2024, held during July 1-5, 2024, in Geneva, Switzerland…

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Advances in Computer Graphics

The three-volume set LNCS 15338, 15339 and 15340 constitutes the refereed proceedings from the 41st Computer Graphics International Conference, CGI 2024, held during July 1-5, 2024, in Geneva, Switzerland…

lieferbar innerhalb 2-3 Wochen

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