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Teach Yourself Calculus

Teach Yourself Calculus
Author: Hugh Neill
Publisher: McGraw-Hill
Total Pages: 352
Release: 2003-07-25
Genre: Mathematics
ISBN: 9780071421287

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While Teach Yourself Calculus is perfect for beginners who want to acquire a working knowledge of calculus, at the same time it is an excellent tool for anyone who wants to expand their knowledge beyond the basics. In a progressive, step-by-step fashion, the book builds from the ground up to offer comprehensive coverage of a range of more advanced topics such as multiple integrals. Each chapter features numerous worked examples and graded exercises.


Calculus Made Easy

Calculus Made Easy
Author: Silvanus P. Thompson
Publisher: St. Martin's Press
Total Pages: 348
Release: 2014-03-18
Genre: Study Aids
ISBN: 1466866357

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Calculus Made Easy by Silvanus P. Thompson and Martin Gardner has long been the most popular calculus primer. This major revision of the classic math text makes the subject at hand still more comprehensible to readers of all levels. With a new introduction, three new chapters, modernized language and methods throughout, and an appendix of challenging and enjoyable practice problems, Calculus Made Easy has been thoroughly updated for the modern reader.


Teach Yourself Calculus

Teach Yourself Calculus
Author: P. Abbott
Publisher:
Total Pages: 380
Release: 1965
Genre:
ISBN:

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Quick Calculus

Quick Calculus
Author: Daniel Kleppner
Publisher: John Wiley & Sons
Total Pages: 272
Release: 1991-01-16
Genre: Mathematics
ISBN: 0471827223

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Quick Calculus 2nd Edition A Self-Teaching Guide Calculus is essential for understanding subjects ranging from physics and chemistry to economics and ecology. Nevertheless, countless students and others who need quantitative skills limit their futures by avoiding this subject like the plague. Maybe that's why the first edition of this self-teaching guide sold over 250,000 copies. Quick Calculus, Second Edition continues to teach the elementary techniques of differential and integral calculus quickly and painlessly. Your "calculus anxiety" will rapidly disappear as you work at your own pace on a series of carefully selected work problems. Each correct answer to a work problem leads to new material, while an incorrect response is followed by additional explanations and reviews. This updated edition incorporates the use of calculators and features more applications and examples. ".makes it possible for a person to delve into the mystery of calculus without being mystified." --Physics Teacher


A First Course in Calculus

A First Course in Calculus
Author: Serge Lang
Publisher: Springer Science & Business Media
Total Pages: 741
Release: 2012-09-17
Genre: Mathematics
ISBN: 1441985328

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This fifth edition of Lang's book covers all the topics traditionally taught in the first-year calculus sequence. Divided into five parts, each section of A FIRST COURSE IN CALCULUS contains examples and applications relating to the topic covered. In addition, the rear of the book contains detailed solutions to a large number of the exercises, allowing them to be used as worked-out examples -- one of the main improvements over previous editions.


Teach Yourself VISUALLY Calculus

Teach Yourself VISUALLY Calculus
Author: Dale W. Johnson, M.A.
Publisher: Visual
Total Pages: 291
Release: 2008-06-02
Genre: Mathematics
ISBN: 0470288213

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Calculus can test the limits of even the most advanced math students. This visual, easy-to-follow book deconstructs complex mathematical concepts in a way that’s infinitely easier to grasp. With clear, color-coded methods, you’ll get step-by-step instructions on solving problems using limits, derivatives, differentiation, curve sketching, and integrals. Easy access to concepts means you don’t have to sort through lengthy instructional text, and you can refer to the Appendix for a look at common differentiation rules, integration formulas, and trigonometric identities.


Calculus: A Complete Introduction

Calculus: A Complete Introduction
Author: Hugh Neill
Publisher: Hachette UK
Total Pages: 417
Release: 2018-06-07
Genre: Mathematics
ISBN: 1473678455

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Calculus: A Complete Introduction is the most comprehensive yet easy-to-use introduction to using calculus. Written by a leading expert, this book will help you if you are studying for an important exam or essay, or if you simply want to improve your knowledge. The book covers all areas of calculus, including functions, gradients, rates of change, differentiation, exponential and logarithmic functions and integration. Everything you will need to know is here in one book. Each chapter includes not only an explanation of the knowledge and skills you need, but also worked examples and test questions.


Teaching and Learning of Calculus

Teaching and Learning of Calculus
Author: David Bressoud
Publisher: Springer
Total Pages: 44
Release: 2016-06-14
Genre: Education
ISBN: 3319329758

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This survey focuses on the main trends in the field of calculus education. Despite their variety, the findings reveal a cornerstone issue that is strongly linked to the formalism of calculus concepts and to the difficulties it generates in the learning and teaching process. As a complement to the main text, an extended bibliography with some of the most important references on this topic is included. Since the diversity of the research in the field makes it difficult to produce an exhaustive state-of-the-art summary, the authors discuss recent developments that go beyond this survey and put forward new research questions.


Understand Calculus: A Teach Yourself Guide

Understand Calculus: A Teach Yourself Guide
Author: Paul Abbott
Publisher: McGraw-Hill
Total Pages: 0
Release: 2010-10-14
Genre: Mathematics
ISBN: 9780071747608

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Presents a self-teaching guide to calculus, offering a graded series of lessons covering basic concepts with clearly worked examples.


Mathematics for Machine Learning

Mathematics for Machine Learning
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
Total Pages: 392
Release: 2020-04-23
Genre: Computers
ISBN: 1108569323

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The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.