Basic Training in Mathematics

Basic Training in Mathematics

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  • Author: R. Shankar
  • Publisher: Springer
  • ISBN: 1489967982
  • Category : Science
  • Languages : en
  • Pages : 371

Based on course material used by the author at Yale University, this practical text addresses the widening gap found between the mathematics required for upper-level courses in the physical sciences and the knowledge of incoming students. This superb book offers students an excellent opportunity to strengthen their mathematical skills by solving various problems in differential calculus. By covering material in its simplest form, students can look forward to a smooth entry into any course in the physical sciences.


Basic Training in Mathematics

Basic Training in Mathematics

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  • Author: R. Shankar
  • Publisher: Springer Science & Business Media
  • ISBN: 9780306450358
  • Category : Science
  • Languages : en
  • Pages : 390

Based on course material used by the author at Yale University, this practical text addresses the widening gap found between the mathematics required for upper-level courses in the physical sciences and the knowledge of incoming students. This superb book offers students an excellent opportunity to strengthen their mathematical skills by solving various problems in differential calculus. By covering material in its simplest form, students can look forward to a smooth entry into any course in the physical sciences.


The Art of Proof

The Art of Proof

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  • Author: Matthias Beck
  • Publisher: Springer Science & Business Media
  • ISBN: 1441970231
  • Category : Mathematics
  • Languages : en
  • Pages : 185

The Art of Proof is designed for a one-semester or two-quarter course. A typical student will have studied calculus (perhaps also linear algebra) with reasonable success. With an artful mixture of chatty style and interesting examples, the student's previous intuitive knowledge is placed on solid intellectual ground. The topics covered include: integers, induction, algorithms, real numbers, rational numbers, modular arithmetic, limits, and uncountable sets. Methods, such as axiom, theorem and proof, are taught while discussing the mathematics rather than in abstract isolation. The book ends with short essays on further topics suitable for seminar-style presentation by small teams of students, either in class or in a mathematics club setting. These include: continuity, cryptography, groups, complex numbers, ordinal number, and generating functions.


Basic Training in Mathematics

Basic Training in Mathematics

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  • Author: R. Shankar
  • Publisher: Springer Science & Business Media
  • ISBN: 9780306450365
  • Category : Science
  • Languages : en
  • Pages : 398

Based on course material used by the author at Yale University, this practical text addresses the widening gap found between the mathematics required for upper-level courses in the physical sciences and the knowledge of incoming students. This superb book offers students an excellent opportunity to strengthen their mathematical skills by solving various problems in differential calculus. By covering material in its simplest form, students can look forward to a smooth entry into any course in the physical sciences.


Understanding Maths

Understanding Maths

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  • Author: Graham Lawler
  • Publisher:
  • ISBN: 9781842850862
  • Category : Mathematics
  • Languages : en
  • Pages : 0

Written by an experienced maths teacher, this book will help you master number and data handling. Whether you are just starting at college or university, or a mature student, it explains all you need to know.


Mathematics for Machine Learning

Mathematics for Machine Learning

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  • Author: Marc Peter Deisenroth
  • Publisher: Cambridge University Press
  • ISBN: 1108569323
  • Category : Computers
  • Languages : en
  • Pages : 392

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.


First Steps for Math Olympians

First Steps for Math Olympians

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  • Author: J. Douglas Faires
  • Publisher: MAA
  • ISBN: 9780883858240
  • Category : Mathematics
  • Languages : en
  • Pages : 344

A major aspect of mathematical training and its benefit to society is the ability to use logic to solve problems. The American Mathematics Competitions have been given for more than fifty years to millions of students. This book considers the basic ideas behind the solutions to the majority of these problems, and presents examples and exercises from past exams to illustrate the concepts. Anyone preparing for the Mathematical Olympiads will find many useful ideas here, but people generally interested in logical problem solving should also find the problems and their solutions stimulating. The book can be used either for self-study or as topic-oriented material and samples of problems for practice exams. Useful reading for anyone who enjoys solving mathematical problems, and equally valuable for educators or parents who have children with mathematical interest and ability.


Figuring Out Fluency in Mathematics Teaching and Learning, Grades K-8

Figuring Out Fluency in Mathematics Teaching and Learning, Grades K-8

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  • Author: Jennifer M. Bay-Williams
  • Publisher: Corwin
  • ISBN: 1071818430
  • Category : Education
  • Languages : en
  • Pages : 265

Because fluency practice is not a worksheet. Fluency in mathematics is more than adeptly using basic facts or implementing algorithms. Real fluency involves reasoning and creativity, and it varies by the situation at hand. Figuring Out Fluency in Mathematics Teaching and Learning offers educators the inspiration to develop a deeper understanding of procedural fluency, along with a plethora of pragmatic tools for shifting classrooms toward a fluency approach. In a friendly and accessible style, this hands-on guide empowers educators to support students in acquiring the repertoire of reasoning strategies necessary to becoming versatile and nimble mathematical thinkers. It includes: "Seven Significant Strategies" to teach to students as they work toward procedural fluency. Activities, fluency routines, and games that encourage learning the efficiency, flexibility, and accuracy essential to real fluency. Reflection questions, connections to mathematical standards, and techniques for assessing all components of fluency. Suggestions for engaging families in understanding and supporting fluency. Fluency is more than a toolbox of strategies to choose from; it’s also a matter of equity and access for all learners. Give your students the knowledge and power to become confident mathematical thinkers.


Introduction to Mathematics for Life Scientists

Introduction to Mathematics for Life Scientists

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  • Author: E. Batschelet
  • Publisher: Springer Science & Business Media
  • ISBN: 364296270X
  • Category : Mathematics
  • Languages : en
  • Pages : 657

A few decades ago mathematics played a modest role in life sciences. Today, however, a great variety of mathematical methods is applied in biology and medicine. Practically every mathematical procedure that is useful in physics, chemistry, engineering, and economics has also found an important application in the life sciences. The past and present training of life scientists does by no means reflect this development. However, the impact ofthe fast growing number of applications of mathematical methods makes it indispensable that students in the life sciences are offered a basic training in mathematics, both on the undergraduate and the graduate level. This book is primarily designed as a textbook for an introductory course. Life scientists may also use it as a reference to find mathematical methods suitable to their research problems. Moreover, the book should be appropriate for self-teaching. It will also be a guide for teachers. Numerous references are included to assist the reader in his search for the pertinent literature.


Basic Mathematics for the Physical Sciences / Further Mathematics for the Physical Sciences Set

Basic Mathematics for the Physical Sciences / Further Mathematics for the Physical Sciences Set

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  • Author: Robert Lambourne
  • Publisher: Wiley
  • ISBN: 9780470741313
  • Category : Science
  • Languages : en
  • Pages : 0

Provides high-quality and thoroughly class-tested basic mathematics for the physical sciences This book set provides a thorough introduction to the essential mathematical techniques needed in the physical sciences. Carefully structured as a series of self-paced and self-contained chapters, it covers the basic techniques on which more advanced material is built. Starting with arithmetic and algebra, Basic Mathematics for the Physical Sciences then moves on to cover basic elements of geometry, vector algebra, differentiation and finally integration, all within an applied environment. The book handily guides readers through these different techniques with the help of numerous worked examples, applications, problems, figures, and summaries.