Mathematics for Practical Use PDF Download

Author: Kaj L. Nielsen
Publisher: HarperCollins Publishers
ISBN: 9780064632126
Category : Mathematics
Languages : en
Pages : 260

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Author:
Publisher: Macmillan
ISBN: 9781429209007
Category : Mathematics
Languages : en
Pages : 844

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By the Consortium for Mathematics and Its Applications.

Author: Claude Irwin Palmer
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 794

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Book Description

Author: Sam Howison
Publisher: Cambridge University Press
ISBN: 9780521842747
Category : Mathematics
Languages : en
Pages : 362

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Book Description
Drawing from a wide variety of mathematical subjects, this book aims to show how mathematics is realised in practice in the everyday world. Dozens of applications are used to show that applied mathematics is much more than a series of academic calculations. Mathematical topics covered include distributions, ordinary and partial differential equations, and asymptotic methods as well as basics of modelling. The range of applications is similarly varied, from the modelling of hair to piano tuning, egg incubation and traffic flow. The style is informal but not superficial. In addition, the text is supplemented by a large number of exercises and sideline discussions, assisting the reader's grasp of the material. Used either in the classroom by upper-undergraduate students, or as extra reading for any applied mathematician, this book illustrates how the reader's knowledge can be used to describe the world around them.

Author: Claude Irwin Palmer
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 218

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Author: George Howe
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 168

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Author: W. H. Marlow
Publisher: Courier Corporation
ISBN: 0486677230
Category : Mathematics
Languages : en
Pages : 514

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Book Description
Practical and applications-oriented, this text explains effective procedures for performing mathematical tasks that arise in many fields, including operations research, engineering, systems sciences, statistics, and economics. Most of the examples and many of the 1,300 problems illustrate techniques, and nearly all of the tables display reference material for procedures. 1978 edition.

Author: Dennis D. Davis
Publisher: Cengage Learning
ISBN: 9780827367104
Category : Mathematics
Languages : en
Pages : 272

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Book Description
This resource is written for numeracy learners working in steel, aluminum and other metals / plastics manufacturing roles. It is specifically targeted towards machinists / machine operators and covers realistic math problems that manufacturers encounter in the workplace. The resource begins with basic operators and moves onto more complex equations. Table of contents: * Whole numbers. * Common fractions. * Decimal fractions. * Direct measure. * Computed measure. * Percent and finance. * Graphs. * Shop formulas. * Ration and proportion. * Powers and roots. * Geometric forms and construction. * Trigonometry. * Appendix. Glossary. Odd numbered answers.

Author: Margaret (Peg) Smith
Publisher: Corwin Press
ISBN: 1544321147
Category : Education
Languages : en
Pages : 241

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Book Description
Take a deep dive into the five practices for facilitating productive mathematical discussions Enhance your fluency in the five practices—anticipating, monitoring, selecting, sequencing, and connecting—to bring powerful discussions of mathematical concepts to life in your elementary classroom. This book unpacks the five practices for deeper understanding and empowers you to use each practice effectively. • Video excerpts vividly illustrate the five practices in action in real elementary classrooms • Key questions help you set learning goals, identify high-level tasks, and jumpstart discussion • Prompts guide you to be prepared for and overcome common challenges Includes planning templates, sample lesson plans and completed monitoring tools, and mathematical tasks.

Author: Ryan T. White
Publisher: Packt Publishing Ltd
ISBN: 1838983503
Category : Mathematics
Languages : en
Pages : 330

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Book Description
A practical guide simplifying discrete math for curious minds and demonstrating its application in solving problems related to software development, computer algorithms, and data science Key FeaturesApply the math of countable objects to practical problems in computer scienceExplore modern Python libraries such as scikit-learn, NumPy, and SciPy for performing mathematicsLearn complex statistical and mathematical concepts with the help of hands-on examples and expert guidanceBook Description Discrete mathematics deals with studying countable, distinct elements, and its principles are widely used in building algorithms for computer science and data science. The knowledge of discrete math concepts will help you understand the algorithms, binary, and general mathematics that sit at the core of data-driven tasks. Practical Discrete Mathematics is a comprehensive introduction for those who are new to the mathematics of countable objects. This book will help you get up to speed with using discrete math principles to take your computer science skills to a more advanced level. As you learn the language of discrete mathematics, you'll also cover methods crucial to studying and describing computer science and machine learning objects and algorithms. The chapters that follow will guide you through how memory and CPUs work. In addition to this, you'll understand how to analyze data for useful patterns, before finally exploring how to apply math concepts in network routing, web searching, and data science. By the end of this book, you'll have a deeper understanding of discrete math and its applications in computer science, and be ready to work on real-world algorithm development and machine learning. What you will learnUnderstand the terminology and methods in discrete math and their usage in algorithms and data problemsUse Boolean algebra in formal logic and elementary control structuresImplement combinatorics to measure computational complexity and manage memory allocationUse random variables, calculate descriptive statistics, and find average-case computational complexitySolve graph problems involved in routing, pathfinding, and graph searches, such as depth-first searchPerform ML tasks such as data visualization, regression, and dimensionality reductionWho this book is for This book is for computer scientists looking to expand their knowledge of discrete math, the core topic of their field. University students looking to get hands-on with computer science, mathematics, statistics, engineering, or related disciplines will also find this book useful. Basic Python programming skills and knowledge of elementary real-number algebra are required to get started with this book.