Math For Scientists

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Math for Scientists

Author : Natasha Maurits
Publisher : Springer Nature
ISBN 13 : 3031441400
Total Pages : 319 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Math for Scientists by : Natasha Maurits

Download or read book Math for Scientists written by Natasha Maurits and published by Springer Nature. This book was released on 2023-12-12 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews math topics relevant to non-mathematics students and scientists, but which they may not have seen or studied for a while. These math issues can range from reading mathematical symbols, to using complex numbers, dealing with equations involved in calculating medication equivalents, the General Linear Model (GLM) used in e.g. neuroimaging analysis, finding the minimum of a function, independent component analysis, or filtering approaches. Almost every student or scientist, will at some point run into mathematical formulas or ideas in scientific papers that may be hard to understand, given that formal math education may be some years ago. In this book we will explain the theory behind many of these mathematical ideas and expressions and provide readers with the tools to better understand them. We will revisit high school mathematics and extend and relate this to the mathematics you need to understand the math you may encounter in the course of your research. This book will help you understand the math and formulas in the scientific papers you read. To achieve this goal, each chapter mixes theory with practical pen-and-paper exercises such that you (re)gain experience with solving math problems yourself. Mnemonics will be taught whenever possible. To clarify the math and help readers apply it, each chapter provides real-world and scientific examples. In this new edition, two new chapters covering statistics and differential equations have been added, which have been workshopped in the 'authors' popular lecture series in order to maximize the benefit for readers.

Math Refresher for Scientists and Engineers

Author : John R. Fanchi
Publisher : John Wiley & Sons
ISBN 13 : 0471791547
Total Pages : 361 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Math Refresher for Scientists and Engineers by : John R. Fanchi

Download or read book Math Refresher for Scientists and Engineers written by John R. Fanchi and published by John Wiley & Sons. This book was released on 2006-06-12 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expanded coverage of essential math, including integral equations, calculus of variations, tensor analysis, and special integrals Math Refresher for Scientists and Engineers, Third Edition is specifically designed as a self-study guide to help busy professionals and students in science and engineering quickly refresh and improve the math skills needed to perform their jobs and advance their careers. The book focuses on practical applications and exercises that readers are likely to face in their professional environments. All the basic math skills needed to manage contemporary technology problems are addressed and presented in a clear, lucid style that readers familiar with previous editions have come to appreciate and value. The book begins with basic concepts in college algebra and trigonometry, and then moves on to explore more advanced concepts in calculus, linear algebra (including matrices), differential equations, probability, and statistics. This Third Edition has been greatly expanded to reflect the needs of today's professionals. New material includes: * A chapter on integral equations * A chapter on calculus of variations * A chapter on tensor analysis * A section on time series * A section on partial fractions * Many new exercises and solutions Collectively, the chapters teach most of the basic math skills needed by scientists and engineers. The wide range of topics covered in one title is unique. All chapters provide a review of important principles and methods. Examples, exercises, and applications are used liberally throughout to engage the readers and assist them in applying their new math skills to actual problems. Solutions to exercises are provided in an appendix. Whether to brush up on professional skills or prepare for exams, readers will find this self-study guide enables them to quickly master the math they need. It can additionally be used as a textbook for advanced-level undergraduates in physics and engineering.

The 10 Things All Future Mathematicians and Scientists Must Know (but are Rarely Taught)

Author : Edward Zaccaro
Publisher :
ISBN 13 : 9780967991542
Total Pages : 0 pages
Book Rating : 4.9/5 (915 download)

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Book Synopsis The 10 Things All Future Mathematicians and Scientists Must Know (but are Rarely Taught) by : Edward Zaccaro

Download or read book The 10 Things All Future Mathematicians and Scientists Must Know (but are Rarely Taught) written by Edward Zaccaro and published by . This book was released on 2003 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematicians and scientists have been closely tied to many famous disasters. The Challenger explosion, the failure of the Mars Orbiter, and the Kansas City Hyatt Regency walkway collapse all involved thinking errors. This book presents the ten things our future mathematicians and scientists must know to prevent these kinds of tragedies from occurring. Because science and mathematics instruction is often dominated by facts and calculation, children are rarely exposed to these important concepts. Over 50 stories are included that show children the strong connections between mathematics and science and the real world.

Math for Scientists

Author : Natasha Maurits
Publisher : Springer
ISBN 13 : 3319573543
Total Pages : 233 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Math for Scientists by : Natasha Maurits

Download or read book Math for Scientists written by Natasha Maurits and published by Springer. This book was released on 2017-08-26 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews math topics relevant to non-mathematics students and scientists, but which they may not have seen or studied for a while. These math issues can range from reading mathematical symbols, to using complex numbers, dealing with equations involved in calculating medication equivalents, the General Linear Model (GLM) used in e.g. neuroimaging analysis, finding the minimum of a function, independent component analysis, or filtering approaches. Almost every student or scientist, will at some point run into mathematical formulas or ideas in scientific papers that may be hard to understand, given that formal math education may be some years ago. In this book we will explain the theory behind many of these mathematical ideas and expressions and provide readers with the tools to better understand them. We will revisit high school mathematics and extend and relate this to the mathematics you need to understand the math you may encounter in the course of your research. This book will help you understand the math and formulas in the scientific papers you read. To achieve this goal, each chapter mixes theory with practical pen-and-paper exercises such that you (re)gain experience with solving math problems yourself. Mnemonics will be taught whenever possible. To clarify the math and help readers apply it, each chapter provides real-world and scientific examples.

Fundamental Math and Physics for Scientists and Engineers

Author : David Yevick
Publisher : John Wiley & Sons
ISBN 13 : 111897980X
Total Pages : 464 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Fundamental Math and Physics for Scientists and Engineers by : David Yevick

Download or read book Fundamental Math and Physics for Scientists and Engineers written by David Yevick and published by John Wiley & Sons. This book was released on 2014-11-21 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a concise overview of the core undergraduate physics and applied mathematics curriculum for students and practitioners of science and engineering Fundamental Math and Physics for Scientists and Engineers summarizes college and university level physics together with the mathematics frequently encountered in engineering and physics calculations. The presentation provides straightforward, coherent explanations of underlying concepts emphasizing essential formulas, derivations, examples, and computer programs. Content that should be thoroughly mastered and memorized is clearly identified while unnecessary technical details are omitted. Fundamental Math and Physics for Scientists and Engineers is an ideal resource for undergraduate science and engineering students and practitioners, students reviewing for the GRE and graduate-level comprehensive exams, and general readers seeking to improve their comprehension of undergraduate physics. Covers topics frequently encountered in undergraduate physics, in particular those appearing in the Physics GRE subject examination Reviews relevant areas of undergraduate applied mathematics, with an overview chapter on scientific programming Provides simple, concise explanations and illustrations of underlying concepts Succinct yet comprehensive, Fundamental Math and Physics for Scientists and Engineers constitutes a reference for science and engineering students, practitioners and non-practitioners alike.

Math for Programmers

Author : Paul Orland
Publisher : Manning Publications
ISBN 13 : 1617295353
Total Pages : 686 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Math for Programmers by : Paul Orland

Download or read book Math for Programmers written by Paul Orland and published by Manning Publications. This book was released on 2021-01-12 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Math for Programmers you’ll explore important mathematical concepts through hands-on coding. Filled with graphics and more than 300 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, you’ll master the key Python libraries used to turn them into real-world software applications. Summary To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest programming fields. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Skip the mathematical jargon: This one-of-a-kind book uses Python to teach the math you need to build games, simulations, 3D graphics, and machine learning algorithms. Discover how algebra and calculus come alive when you see them in code! About the book In Math for Programmers you’ll explore important mathematical concepts through hands-on coding. Filled with graphics and more than 300 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, you’ll master the key Python libraries used to turn them into real-world software applications. What's inside Vector geometry for computer graphics Matrices and linear transformations Core concepts from calculus Simulation and optimization Image and audio processing Machine learning algorithms for regression and classification About the reader For programmers with basic skills in algebra. About the author Paul Orland is a programmer, software entrepreneur, and math enthusiast. He is co-founder of Tachyus, a start-up building predictive analytics software for the energy industry. You can find him online at www.paulor.land. Table of Contents 1 Learning math with code PART I - VECTORS AND GRAPHICS 2 Drawing with 2D vectors 3 Ascending to the 3D world 4 Transforming vectors and graphics 5 Computing transformations with matrices 6 Generalizing to higher dimensions 7 Solving systems of linear equations PART 2 - CALCULUS AND PHYSICAL SIMULATION 8 Understanding rates of change 9 Simulating moving objects 10 Working with symbolic expressions 11 Simulating force fields 12 Optimizing a physical system 13 Analyzing sound waves with a Fourier series PART 3 - MACHINE LEARNING APPLICATIONS 14 Fitting functions to data 15 Classifying data with logistic regression 16 Training neural networks

A Mind for Numbers

Author : Barbara A. Oakley
Publisher : TarcherPerigee
ISBN 13 : 039916524X
Total Pages : 338 pages
Book Rating : 4.3/5 (991 download)

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Book Synopsis A Mind for Numbers by : Barbara A. Oakley

Download or read book A Mind for Numbers written by Barbara A. Oakley and published by TarcherPerigee. This book was released on 2014-07-31 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engineering professor Barbara Oakley knows firsthand how it feels to struggle with math. In her book, she offers you the tools needed to get a better grasp of that intimidating but inescapable field.

Math for Soil Scientists

Author : Mark S. Coyne
Publisher : Cengage Learning
ISBN 13 :
Total Pages : 304 pages
Book Rating : 4.:/5 (321 download)

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Book Synopsis Math for Soil Scientists by : Mark S. Coyne

Download or read book Math for Soil Scientists written by Mark S. Coyne and published by Cengage Learning. This book was released on 2006 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique resource is written for students and practitioners in the field of soil science who must learn or review basic mathematical operations faced when studying or working with soils. Unlike other texts of its kind, Math for Soil Scientists explains the importance of each concept explored, discusses the theory behind each concept, and presents the method for solving each problem. Designed to cover all of the most common equations in the soil science field, from calculating particle size distribution to conducting simple hypothesis testing, this text provides the reader with many opportunities for practice in working out sample problems of each required math concept. This easy-to-read text approaches every concept in a step-by-step fashion, allowing the reader to fully understand how to find the solution to each sample problem.

Discrete Mathematics for Computer Scientists

Author : Clifford Stein
Publisher :
ISBN 13 : 9780131377103
Total Pages : 525 pages
Book Rating : 4.3/5 (771 download)

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Book Synopsis Discrete Mathematics for Computer Scientists by : Clifford Stein

Download or read book Discrete Mathematics for Computer Scientists written by Clifford Stein and published by . This book was released on 2011 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stein/Drysdale/Bogart's Discrete Mathematics for Computer Scientists is ideal for computer science students taking the discrete math course. Written specifically for computer science students, this unique textbook directly addresses their needs by providing a foundation in discrete math while using motivating, relevant CS applications. This text takes an active-learning approach where activities are presented as exercises and the material is then fleshed out through explanations and extensions of the exercises.

Transforming Teaching in Math and Science

Author : Adam Gamoran
Publisher : Teachers College Press
ISBN 13 : 9780807743096
Total Pages : 240 pages
Book Rating : 4.7/5 (43 download)

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Book Synopsis Transforming Teaching in Math and Science by : Adam Gamoran

Download or read book Transforming Teaching in Math and Science written by Adam Gamoran and published by Teachers College Press. This book was released on 2003-01-01 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teachers often want to learn new ideas and approaches to improve their teaching, but their efforts are often blocked by structural constraints in their districts and schools. How can schools overcome these barriers to provide more supportive environments for change? The authors answer this question through the study of six cases of schools and districts where teachers and researchers collaborated to develop teaching for understanding in math and science. This new book features: a new conceptual model of how school resources relate to teaching and learning, focusing not only on material resources such as time and money but also on human and social resources; methods that administrators can use to support teachers who want to improve their teaching of math and science; elements that professional developers should look for in a school environment when they are considering working with staff on teaching improvements; and answers to important questions, including how schools operate as organizations, how they control work, how they respond to changes in their environment, and how they improve classroom teaching and learning.

How to Encourage Girls in Math & Science

Author : Joan Skolnick
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 216 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis How to Encourage Girls in Math & Science by : Joan Skolnick

Download or read book How to Encourage Girls in Math & Science written by Joan Skolnick and published by Prentice Hall. This book was released on 1982 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Category Theory for the Sciences

Author : David I. Spivak
Publisher : MIT Press
ISBN 13 : 0262320533
Total Pages : 495 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Category Theory for the Sciences by : David I. Spivak

Download or read book Category Theory for the Sciences written by David I. Spivak and published by MIT Press. This book was released on 2014-10-17 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to category theory as a rigorous, flexible, and coherent modeling language that can be used across the sciences. Category theory was invented in the 1940s to unify and synthesize different areas in mathematics, and it has proven remarkably successful in enabling powerful communication between disparate fields and subfields within mathematics. This book shows that category theory can be useful outside of mathematics as a rigorous, flexible, and coherent modeling language throughout the sciences. Information is inherently dynamic; the same ideas can be organized and reorganized in countless ways, and the ability to translate between such organizational structures is becoming increasingly important in the sciences. Category theory offers a unifying framework for information modeling that can facilitate the translation of knowledge between disciplines. Written in an engaging and straightforward style, and assuming little background in mathematics, the book is rigorous but accessible to non-mathematicians. Using databases as an entry to category theory, it begins with sets and functions, then introduces the reader to notions that are fundamental in mathematics: monoids, groups, orders, and graphs—categories in disguise. After explaining the “big three” concepts of category theory—categories, functors, and natural transformations—the book covers other topics, including limits, colimits, functor categories, sheaves, monads, and operads. The book explains category theory by examples and exercises rather than focusing on theorems and proofs. It includes more than 300 exercises, with solutions. Category Theory for the Sciences is intended to create a bridge between the vast array of mathematical concepts used by mathematicians and the models and frameworks of such scientific disciplines as computation, neuroscience, and physics.

Used Math

Author : Clifford E. Swartz
Publisher :
ISBN 13 : 9780735420847
Total Pages : 282 pages
Book Rating : 4.4/5 (28 download)

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Book Synopsis Used Math by : Clifford E. Swartz

Download or read book Used Math written by Clifford E. Swartz and published by . This book was released on 1993 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a helpful reference work designed for the college science student needing a quick explanation of the mathematics found in the first two years of the college science curriculum. Rather than giving lengthy explanations of abstract mathematical theory, this useful handbook focuses on math as a scientist's working tool. Part reference and part reminder-the volume reinforces the student's previous knowledge of math and guides the reader through the many unfamiliar mathematical computations that are part of his or her science requirements. Numerous examples throughout the book are drawn from actual situations encountered in science courses. The chapters may be used in any sequence and are extensively cross-indexed for user convenience. Demonstrating how formal course work in chemistry, physics, astronomy, and the other sciences employ certain vital areas of mathematics, the book covers a broad range of important subjects, including reporting and analyzing uncertainty, units and dimensions, graphs, the simple functions of applied math, statistics, quadratic and high power equations, and simultaneous equations. Other chapters are devoted to determinants, vectors, complex numbers, calculus-differentiation, integration, series and approximations, common differential equations, and differential operators. The book contains many useful reference tables and summaries of formulas and techniques. A valuable study aid for every science student and an auxiliary reference work certain to be used frequently, USED MATH gives solid explanations and examples of the "old and used" math fundamental to all science courses.

How Not to Be Wrong

Author : Jordan Ellenberg
Publisher : Penguin
ISBN 13 : 0143127535
Total Pages : 482 pages
Book Rating : 4.1/5 (431 download)

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Book Synopsis How Not to Be Wrong by : Jordan Ellenberg

Download or read book How Not to Be Wrong written by Jordan Ellenberg and published by Penguin. This book was released on 2015-05-26 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Witty, compelling, and just plain fun to read . . ." —Evelyn Lamb, Scientific American The Freakonomics of math—a math-world superstar unveils the hidden beauty and logic of the world and puts its power in our hands The math we learn in school can seem like a dull set of rules, laid down by the ancients and not to be questioned. In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it. Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer? How Not to Be Wrong presents the surprising revelations behind all of these questions and many more, using the mathematician’s method of analyzing life and exposing the hard-won insights of the academic community to the layman—minus the jargon. Ellenberg chases mathematical threads through a vast range of time and space, from the everyday to the cosmic, encountering, among other things, baseball, Reaganomics, daring lottery schemes, Voltaire, the replicability crisis in psychology, Italian Renaissance painting, artificial languages, the development of non-Euclidean geometry, the coming obesity apocalypse, Antonin Scalia’s views on crime and punishment, the psychology of slime molds, what Facebook can and can’t figure out about you, and the existence of God. Ellenberg pulls from history as well as from the latest theoretical developments to provide those not trained in math with the knowledge they need. Math, as Ellenberg says, is “an atomic-powered prosthesis that you attach to your common sense, vastly multiplying its reach and strength.” With the tools of mathematics in hand, you can understand the world in a deeper, more meaningful way. How Not to Be Wrong will show you how.

Mathematics for the Life Sciences

Author : Erin N. Bodine
Publisher : Princeton University Press
ISBN 13 : 0691150729
Total Pages : 630 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Mathematics for the Life Sciences by : Erin N. Bodine

Download or read book Mathematics for the Life Sciences written by Erin N. Bodine and published by Princeton University Press. This book was released on 2014-08-17 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible undergraduate textbook on the essential math concepts used in the life sciences The life sciences deal with a vast array of problems at different spatial, temporal, and organizational scales. The mathematics necessary to describe, model, and analyze these problems is similarly diverse, incorporating quantitative techniques that are rarely taught in standard undergraduate courses. This textbook provides an accessible introduction to these critical mathematical concepts, linking them to biological observation and theory while also presenting the computational tools needed to address problems not readily investigated using mathematics alone. Proven in the classroom and requiring only a background in high school math, Mathematics for the Life Sciences doesn't just focus on calculus as do most other textbooks on the subject. It covers deterministic methods and those that incorporate uncertainty, problems in discrete and continuous time, probability, graphing and data analysis, matrix modeling, difference equations, differential equations, and much more. The book uses MATLAB throughout, explaining how to use it, write code, and connect models to data in examples chosen from across the life sciences. Provides undergraduate life science students with a succinct overview of major mathematical concepts that are essential for modern biology Covers all the major quantitative concepts that national reports have identified as the ideal components of an entry-level course for life science students Provides good background for the MCAT, which now includes data-based and statistical reasoning Explicitly links data and math modeling Includes end-of-chapter homework problems, end-of-unit student projects, and select answers to homework problems Uses MATLAB throughout, and MATLAB m-files with an R supplement are available online Prepares students to read with comprehension the growing quantitative literature across the life sciences A solutions manual for professors and an illustration package is available

The Mathematical Sciences in 2025

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309284570
Total Pages : 223 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis The Mathematical Sciences in 2025 by : National Research Council

Download or read book The Mathematical Sciences in 2025 written by National Research Council and published by National Academies Press. This book was released on 2013-06-13 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: The mathematical sciences are part of nearly all aspects of everyday life-the discipline has underpinned such beneficial modern capabilities as Internet search, medical imaging, computer animation, numerical weather predictions, and all types of digital communications. The Mathematical Sciences in 2025 examines the current state of the mathematical sciences and explores the changes needed for the discipline to be in a strong position and able to maximize its contribution to the nation in 2025. It finds the vitality of the discipline excellent and that it contributes in expanding ways to most areas of science and engineering, as well as to the nation as a whole, and recommends that training for future generations of mathematical scientists should be re-assessed in light of the increasingly cross-disciplinary nature of the mathematical sciences. In addition, because of the valuable interplay between ideas and people from all parts of the mathematical sciences, the report emphasizes that universities and the government need to continue to invest in the full spectrum of the mathematical sciences in order for the whole enterprise to continue to flourish long-term.

Demystify Math, Science, and Technology

Author : Dennis Adams
Publisher : R&L Education
ISBN 13 : 1607096366
Total Pages : 175 pages
Book Rating : 4.6/5 (7 download)

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Book Synopsis Demystify Math, Science, and Technology by : Dennis Adams

Download or read book Demystify Math, Science, and Technology written by Dennis Adams and published by R&L Education. This book was released on 2010-02-15 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology is viewed as a powerful force both in and out of school and has long been linked with math and science. Although concepts and activities of this book apply to any grade, the primary focus is on the elementary and middle school levels. This book provides principles and practical strategies for promoting creative and innovative work in math, science, and technology. The authors pay close attention to the social nature of learning and how collaboration can spark student interest in open-ended problem-solving. Shining a light on mathematic, scientific, and technological processes gives everyone more control over what is going on around them and increases understanding of how things work.