Student Solutions Manual to accompany Calculus With Analytic Geometry

Student Solutions Manual to accompany Calculus With Analytic Geometry

Author: George F Simmons

Publisher: McGraw-Hill Education

Published: 1996-06-01

Total Pages: 0

ISBN-13: 9780070577275

DOWNLOAD EBOOK

Written by acclaimed author and mathematician George Simmons, this revision is designed for the calculus course offered in two and four year colleges and universities. It takes an intuitive approach to calculus and focuses on the application of methods to real-world problems. Throughout the text, calculus is treated as a problem solving science of immense capability.


Calculus with Trigonometry and Analytic Geometry

Calculus with Trigonometry and Analytic Geometry

Author: John H. Saxon

Publisher: Saxon Calculus

Published: 2001-05

Total Pages: 0

ISBN-13: 9781565771468

DOWNLOAD EBOOK

Designed for prospective mathematics majors and students interested in engineering, computer science, physics, business or the life sciences. The program covers all topics in the Advanced Placement Calculus AB and Calculus BC syllabi. Instruction takes full advantage of graphing calculators, using them for visual demonstrations of concepts and confirming calculations.


Multivariable Mathematics

Multivariable Mathematics

Author: Theodore Shifrin

Publisher: John Wiley & Sons

Published: 2004-01-26

Total Pages: 514

ISBN-13: 047152638X

DOWNLOAD EBOOK

Multivariable Mathematics combines linear algebra and multivariable mathematics in a rigorous approach. The material is integrated to emphasize the recurring theme of implicit versus explicit that persists in linear algebra and analysis. In the text, the author includes all of the standard computational material found in the usual linear algebra and multivariable calculus courses, and more, interweaving the material as effectively as possible, and also includes complete proofs. * Contains plenty of examples, clear proofs, and significant motivation for the crucial concepts. * Numerous exercises of varying levels of difficulty, both computational and more proof-oriented. * Exercises are arranged in order of increasing difficulty.


Calculus

Calculus

Author: Earl W. Swokowski

Publisher: Brooks/Cole Publishing Company

Published: 2000-06

Total Pages: 1159

ISBN-13:

DOWNLOAD EBOOK

This edition of Swokowski's text is truly as its name implies: a classic. Groundbreaking in every way when first published, this book is a simple, straightforward, direct calculus text. It's popularity is directly due to its broad use of applications, the easy-to-understand writing style, and the wealth of examples and exercises which reinforce conceptualization of the subject matter. The author wrote this text with three objectives in mind. The first was to make the book more student-oriented by expanding discussions and providing more examples and figures to help clarify concepts. To further aid students, guidelines for solving problems were added in many sections of the text. The second objective was to stress the usefulness of calculus by means of modern applications of derivatives and integrals. The third objective, to make the text as accurate and error-free as possible, was accomplished by a careful examination of the exposition, combined with a thorough checking of each example and exercise.


Calculus and Analytic Geometry

Calculus and Analytic Geometry

Author: Sherman K. Stein

Publisher: McGraw-Hill Science, Engineering & Mathematics

Published: 1992-01-01

Total Pages: 1232

ISBN-13: 9780070611757

DOWNLOAD EBOOK

A revision of McGraw-Hill's leading calculus text for the 3-semester sequence taken primarily by math, engineering, and science majors. The revision is substantial and has been influenced by students, instructors in physics, engineering, and mathematics, and participants in the national debate on the future of calculus. Revision focused on these key areas: Upgrading graphics and design, expanding range of problem sets, increasing motivation, strengthening multi-variable chapters, and building a stronger support package.


Mathematics for Machine Learning

Mathematics for Machine Learning

Author: Marc Peter Deisenroth

Publisher: Cambridge University Press

Published: 2020-04-23

Total Pages: 392

ISBN-13: 1108569323

DOWNLOAD EBOOK

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.