Essential Calculus Bundle with EBook PDF Download
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Author: Hawkes Learning Systems
Publisher:
ISBN: 9781935782476
Category :
Languages : en
Pages :
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Book Description
Author: Hawkes Learning Systems
Publisher:
ISBN: 9781935782476
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 2
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Book Description
Author: James Stewart
Publisher: Cengage Learning
ISBN: 9781133112297
Category : Mathematics
Languages : en
Pages : 0
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Book Description
This book is for instructors who think that most calculus textbooks are too long. In writing the book, James Stewart asked himself: What is essential for a three-semester calculus course for scientists and engineers? ESSENTIAL CALCULUS, Second Edition, offers a concise approach to teaching calculus that focuses on major concepts, and supports those concepts with precise definitions, patient explanations, and carefully graded problems. The book is only 900 pages--two-thirds the size of Stewart's other calculus texts, and yet it contains almost all of the same topics. The author achieved this relative brevity primarily by condensing the exposition and by putting some of the features on the book's website, www.StewartCalculus.com. Despite the more compact size, the book has a modern flavor, covering technology and incorporating material to promote conceptual understanding, though not as prominently as in Stewart's other books. ESSENTIAL CALCULUS features the same attention to detail, eye for innovation, and meticulous accuracy that have made Stewart's textbooks the best-selling calculus texts in the world. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author:
Publisher: Brooks Cole
ISBN: 9781133540786
Category :
Languages : en
Pages :
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Book Description
Author: James Stewart
Publisher:
ISBN: 9781337759762
Category :
Languages : en
Pages :
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Book Description
Author: James Stewart
Publisher: Cengage Learning
ISBN: 1285948181
Category : Mathematics
Languages : en
Pages : 529
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Book Description
Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: James Stewart
Publisher: Cengage Learning
ISBN: 9781111990244
Category : Mathematics
Languages : en
Pages : 0
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Book Description
Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: Jon Pierre Fortney
Publisher: Springer
ISBN: 3319969927
Category : Mathematics
Languages : en
Pages : 470
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Book Description
This book explains and helps readers to develop geometric intuition as it relates to differential forms. It includes over 250 figures to aid understanding and enable readers to visualize the concepts being discussed. The author gradually builds up to the basic ideas and concepts so that definitions, when made, do not appear out of nowhere, and both the importance and role that theorems play is evident as or before they are presented. With a clear writing style and easy-to- understand motivations for each topic, this book is primarily aimed at second- or third-year undergraduate math and physics students with a basic knowledge of vector calculus and linear algebra.
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
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Book Description
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.
Author: James Stewart
Publisher: Cengage Learning
ISBN: 9781337613927
Category : Mathematics
Languages : en
Pages : 0
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Book Description
James Stewart's Calculus series is the top-seller in the world because of its problem-solving focus, mathematical precision and accuracy, and outstanding examples and problem sets. Selected and mentored by Stewart, Daniel Clegg and Saleem Watson continue his legacy of providing students with the strongest foundation for a STEM future. Their careful refinements retain Stewart’s clarity of exposition and make the 9th Edition even more useful as a teaching tool for instructors and as a learning tool for students. Showing that Calculus is both practical and beautiful, the Stewart approach enhances understanding and builds confidence for millions of students worldwide. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
