New Syllabus Mathematics Workbook 1NA
New Syllabus Mathematics Workbook 1NA

Author: Dr Joseph Yeo

Publisher: Shing Lee Publishers Pte Ltd

Published: 2013-01-01

Total Pages: 196

ISBN-13: 9812375015

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New Syllabus Mathematics (Normal Academic) is a series of textbooks and workbooks designed to prepare students for the Singapore-Cambridge GCE N-level and O-level examinations. Together with the textbook, the workbook will provide students with ample practice to apply the various skills and concepts learnt to solving problems in both examination and real-life situations. The workbook contains the following features: PRACTISE NOW The Practise Now questions in the workbook, which are closely linked to the worked examples in the textbook, provide students with further practice. REVIEW EXERCISE The Review Exercise in each chapter serves to consolidate the learning of concepts. ACTIVITY Activity is included, where appropriate, to encourage independent learning.

Problem-Solving Strategies
Problem-Solving Strategies

Author: Arthur Engel

Publisher: Springer Science & Business Media

Published: 2008-01-19

Total Pages: 404

ISBN-13: 0387226419

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A unique collection of competition problems from over twenty major national and international mathematical competitions for high school students. Written for trainers and participants of contests of all levels up to the highest level, this will appeal to high school teachers conducting a mathematics club who need a range of simple to complex problems and to those instructors wishing to pose a "problem of the week", thus bringing a creative atmosphere into the classrooms. Equally, this is a must-have for individuals interested in solving difficult and challenging problems. Each chapter starts with typical examples illustrating the central concepts and is followed by a number of carefully selected problems and their solutions. Most of the solutions are complete, but some merely point to the road leading to the final solution. In addition to being a valuable resource of mathematical problems and solution strategies, this is the most complete training book on the market.

The Book of R
The Book of R

Author: Tilman M. Davies

Publisher: No Starch Press

Published: 2016-07-16

Total Pages: 833

ISBN-13: 1593276516

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The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.

IP Mathematics Book 1 Answers Booklet
IP Mathematics Book 1 Answers Booklet

Author: Wong-Ng Siew Hiong

Publisher: Shing Lee Publishers Pte Ltd

Published: 2013-01-01

Total Pages: 58

ISBN-13: 9812376372

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Mathematics in schools offering the Integrated Programme is usually taught as an integrated subject, so that students will be able to better relate learnt knowledge to new knowledge and transfer conceptual understanding to application, as many mathematical concepts are interconnected. One driving force to write the series is to provide a guidebook especially for students in the Integrated Programme. The other is to share teaching ideas with other Mathematics teachers who love the subject as much as I do. Features: � Each topic begins with a recap of key mathematical concepts to help students consolidate learning. � Worked examples are included to enhance understanding and application of key concepts, with side notes explaining some of the working. � Practice questions are tiered into three levels of difficulty. Level 1 aims to provide students with the necessary practice; Level 2 to further build the confidence and test students� understanding; Level 3 to challenge students with higher order thinking questions. � �Math Wonderland� is one highlight of the book. Activities include extension of the topic, suggested alternative assessment and questions to stretch mathematical thinking. The primary purpose of the Wonderland is to allow students to think deeply about what they have learnt and to appreciate the learning of Mathematics beyond classroom. � Step-by-step solutions to all questions are provided as an additional resource to students� problem solving process. I hope this book will benefit students studying Integrated Mathematics, as well as those with aptitude for the subject who are preparing for the GCE O Level Mathematics and Additional Mathematics examinations.

Bulletin
Bulletin

Author: Institute of Mathematics and Its Applications

Publisher:

Published: 1987

Total Pages: 464

ISBN-13:

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Foundations of Data Science
Foundations of Data Science

Author: Avrim Blum

Publisher: Cambridge University Press

Published: 2020-01-23

Total Pages: 433

ISBN-13: 1108617360

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This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.

Nonlinear Dynamics and Chaos
Nonlinear Dynamics and Chaos

Author: Steven H. Strogatz

Publisher: CRC Press

Published: 2018-05-04

Total Pages: 532

ISBN-13: 0429961111

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This textbook is aimed at newcomers to nonlinear dynamics and chaos, especially students taking a first course in the subject. The presentation stresses analytical methods, concrete examples, and geometric intuition. The theory is developed systematically, starting with first-order differential equations and their bifurcations, followed by phase plane analysis, limit cycles and their bifurcations, and culminating with the Lorenz equations, chaos, iterated maps, period doubling, renormalization, fractals, and strange attractors.

Foundations of Cellular Neurophysiology
Foundations of Cellular Neurophysiology

Author: Daniel Johnston

Publisher: MIT Press

Published: 1994-11-02

Total Pages: 709

ISBN-13: 0262293498

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with simulations and illustrations by Richard Gray Problem solving is an indispensable part of learning a quantitative science such as neurophysiology. This text for graduate and advanced undergraduate students in neuroscience, physiology, biophysics, and computational neuroscience provides comprehensive, mathematically sophisticated descriptions of modern principles of cellular neurophysiology. It is the only neurophysiology text that gives detailed derivations of equations, worked examples, and homework problem sets (with complete answers). Developed from notes for the course that the authors have taught since 1983, Foundations of Cellular Neurophysiology covers cellular neurophysiology (also some material at the molecular and systems levels) from its physical and mathematical foundations in a way that is far more rigorous than other commonly used texts in this area.

Contemporary Abstract Algebra
Contemporary Abstract Algebra

Author: Joseph Gallian

Publisher: Cengage Learning

Published: 2016-01-01

Total Pages: 0

ISBN-13: 9781305657960

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CONTEMPORARY ABSTRACT ALGEBRA, NINTH EDITION provides a solid introduction to the traditional topics in abstract algebra while conveying to students that it is a contemporary subject used daily by working mathematicians, computer scientists, physicists, and chemists. The text includes numerous figures, tables, photographs, charts, biographies, computer exercises, and suggested readings giving the subject a current feel which makes the content interesting and relevant for students. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.