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Fisher G: Beading With Algorithms:
Cellular Automata In Peyote Stitch

Beading With Algorithms: Cellular Automata In Peyote Stitch

Chapman & Hall/CRC The R Series

Geocomputation with R is for people who want to analyze, visualize, and model geographic data with open source software. The second edition features numerous updates, including the adoption of the high-performance terra package for all raster data processing.

Geocomputation with R is for people who want to analyze, visualize, and model geographic data with open source software. The second edition features numerous updates, including the adoption of the high-performance terra package for all raster data processing.

Geocomputation with R

Cambridge Mathematical Textbooks

Bridging Theory and Applications with Python

Mathematical Methods in Data Science

AK Peters/CRC Recreational Mathematics Series

Written in a clear, easy-to-understand, and conversational style; and enhanced with challenges and tips to broaden your flexagon skills and spark creativity, this book is a must for flexagon enthusiasts, teachers, students, libraries, mathematicians and everyone who loves to solve a good puzzle.

Written in a clear, easy-to-understand, and conversational style; and enhanced with challenges and tips to broaden your flexagon skills and spark creativity, this book is a must for flexagon enthusiasts, teachers, students, libraries, mathematicians and everyone who loves to solve a good puzzle.

Fascinating Folded Paper Puzzles

The Secret World of Flexagons

The Times Su Doku

Challenge your brain with these enjoyable puzzlesThe latest book in The Times Fiendish Su Doku series - previously unpublished quality Su Doku puzzles. Includes 180 Fiendish and 20 Super Fiendish puzzles.

200 Challenging Su Doku Puzzles

The Times Fiendish Su Doku Book 18

Bridge the gap between theoretical concepts and their practical applications with this rigorous introduction to the mathematics underpinning data science. It covers essential topics in linear algebra, calculus and optimization, and probability and statistics, demonstrating their relevance in the context of data analysis. Key application topics include clustering, regression, classification, dimensionality reduction, network analysis, and neural networks. What sets this text apart is its focus on hands-on learning. Each chapter combines mathematical insights with practical examples, using Python to implement algorithms and solve problems. Self-assessment quizzes, warm-up exercises and theoretical problems foster both mathematical understanding and computational skills. Designed for advanced undergraduate students and beginning graduate students, this textbook serves as both an invitation to data science for mathematics majors and as a deeper excursion into mathematics for data science students.

The robot “concept” was clearly established by those many creative historical realizations, such as those recalled above. Nonetheless, the emergence of the “physical” robot had to await the advent of its underlying technologies of mechanics, controls, computers, electronics and sensors ―in one word, mechatronics― during the course of the twentieth century. As always, new designs motivate new research and discoveries which, in turn, lead to enhanced solutions and thus to novel concepts. This virtuous circle over time produced that knowledge and understanding which gave birth to the field of Robotics, properly referred to as the science and technology of robots.To make robots and intelligent machines useful to humans it is necessary to have a broad and tight intersection between Robotics and AI. Sophisticated mathematical models are needed that enable the robot from a physical point of view, as well as intelligent algorithms capable of correlating all the information coming from the use of technologically advanced sensors with the data available from experience. It is expected that the synergy of model-based techniques with data-driven approaches will contribute to increasing the level of autonomy of robots and intelligent machines in the near future.The first book of the Robotics Goes MOOC project starts with the journey of robotics in the introductory chapter by Khatib, who has pioneered our field of robotics and has ferried it to the third millennium. Sensing is crucial for the development of intelligent and autonomous robots, as covered in Chapter 2 by Nüchter et al. Model-based control is dealt with in Chapter 3 by Kröeger et al along with motion planning, as well as in Chapter 4 by Villani and Chapter 5 by Chaumette to handle force and visual feedback, respectively, when interacting with the environment. Resorting to AI techniques is the focus of the last part of the book, namely, Chapter 6 by Peters et al on Learning, Chapter 7 by Beetzet al on knowledge representation and reasoning, and Chapter 8 by Burgard et al on graph-based SLAM.&nbsp;The image on the cover metaphorically illustrates the&nbsp;knowledge&nbsp;paradigm of robotics through a hand trying to catch an apple.&nbsp;The content published here are linked to a series of MOOCs on Robotics specifically created and hosted by Federica Web Learning. You can access the related content via our app: download the SN More Media app for free, scan the link and access directly to the online courses on your smartphone or tablet.

This book is part of the Springer MOOC &amp; BOOK project, providing both a MOOC – offered through Federica Web Learning – and a Springer reference book based on the online course, combining the quality of a scientific essay with the communicative power of an online educational product.&nbsp;It provides a state-of-the-art overview of various aspects of the rapidly developing field of robotics, which is vigorously engaged in the growing challenges of emerging new domains.Interacting, exploring and working with humans, the new generation of robots will increasingly touch people and their lives.&nbsp;The book is strictly linked to the MOOC, and includes numerous examples and exercises in addition to those offered in the MOOC. Moreover, it features multimedia content, such as videos and augmented reality, which can be accessed via PC, tablet or any other mobile device. Students who buy the print book can easily access this content through the Springer Multimedia App,optimized for cell phones and tablets. Readers simply scan the image with their cell phone or tablet and they are taken directly to the video, figure, photo, table, PowerPoint slide, etc. Moreover, this content can be shared via other apps, email, messengers, and more.The book, edited by an outstanding, internationally respected expert in the field, includes valuable contributions from more than 30 authors, making this innovative project an authoritative reference resource for senior graduate and PhD level students, as well as for robotics researchers and scientists from related disciplines.This book focuses on&nbsp;Knowledge.

Knowledge

Robotics Goes MOOC

Mathematical Sciences Research Institute Publications

This edited volume surveys Richman bidding combinatorial games, classical subtraction games and absolute additive theory. The recurring list of open problems, updated and annotated, will interest all practitioners of CGT and related fields including algebra, computer science, combinatorics, number theory and classical game theory.

Games of No Chance 6

Problem Solving in Mathematics and Beyond

Learning Geometry Through Problem Solving

How Did You Count?, the latest title in Christopher Danielson's collection, is sure to spark conversation, questioning and wondering in students of all ages. Read this Teacher's Guide alongside the children's picture book to help your students discover the beauty of counting and numerical relationships far beyond 1, 2, 3.

How Did You Count?, the latest title in Christopher Danielson’s collection, is sure to spark conversation, questioning and wondering in students of all ages. Read this Teacher’s Guide alongside the children’s picture book to help your students discover the beauty of counting and numerical relationships far beyond 1, 2, 3.

Beading With Algorithms: Cellular Automata In Peyote Stitch

Bibliografische Angaben

Schlagworte

Bibliografische Angaben

Schlagworte

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