Beta Mathematics, 3e PDF Download

Author: David Barton
Publisher:
ISBN: 9780947496487
Category :
Languages : en
Pages : 680

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Book Description
This third edition of Beta Mathematics is written for Level 5 Mathematics and Statistics in the New Zealand Curriculum. The content matches the three curriculum strands: Number and Algebra, Geometry and Measurement, and Statistics. As a key component in the only current New Zealand-written secondary mathematics series, Beta Mathematics is rich in cross-curricular applications, which are always grounded in a New Zealand context. The mathematical activities are designed to relate to the students¿ own experiences.

Author: David Barton
Publisher:
ISBN: 9780947496494
Category :
Languages : en
Pages : 190

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Book Description
This new edition of the Beta Mathematics Workbook contains many more of the questions and activities for which David Barton is famous: well-graded, interesting and linked throughout to real-world applications. Developed in conjunction with Beta Mathematics, the only current New Zealand-written secondary mathematics textbook, this write-on workbook will help students master the material they need to succeed in Level 5 Mathematics and Statistics of the New Zealand Curriculum.

Author: A. Ganeshi
Publisher: New Age International
ISBN: 8122426867
Category : Electronic books
Languages : en
Pages : 50

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Book Description
About the Book: This book Engineering Mathematics-II is designed as a self-contained, comprehensive classroom text for the second semester B.E. Classes of Visveswaraiah Technological University as per the Revised new Syllabus. The topics included are Differential Calculus, Integral Calculus and Vector Integration, Differential Equations and Laplace Transforms. The book is written in a simple way and is accompanied with explanatory figures. All this make the students enjoy the subject while they learn. Inclusion of selected exercises and problems make the book educational in nature. It shou.

Author: Jeffrey Humpherys
Publisher: SIAM
ISBN: 1611976065
Category : Mathematics
Languages : en
Pages : 807

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Book Description
In this second book of what will be a four-volume series, the authors present, in a mathematically rigorous way, the essential foundations of both the theory and practice of algorithms, approximation, and optimization—essential topics in modern applied and computational mathematics. This material is the introductory framework upon which algorithm analysis, optimization, probability, statistics, machine learning, and control theory are built. This text gives a unified treatment of several topics that do not usually appear together: the theory and analysis of algorithms for mathematicians and data science students; probability and its applications; the theory and applications of approximation, including Fourier series, wavelets, and polynomial approximation; and the theory and practice of optimization, including dynamic optimization. When used in concert with the free supplemental lab materials, Foundations of Applied Mathematics, Volume 2: Algorithms, Approximation, Optimization teaches not only the theory but also the computational practice of modern mathematical methods. Exercises and examples build upon each other in a way that continually reinforces previous ideas, allowing students to retain learned concepts while achieving a greater depth. The mathematically rigorous lab content guides students to technical proficiency and answers the age-old question “When am I going to use this?” This textbook is geared toward advanced undergraduate and beginning graduate students in mathematics, data science, and machine learning.

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: O P Malhotra & Anubhuti Gangal & S. K. Gupta
Publisher: S. Chand Publishing
ISBN: 9355012438
Category : Mathematics
Languages : en
Pages :

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Book Description
S Chand's ISC Mathematics is structured according to the latest syllabus as per the new CISCE(Council for the Indian School Certificate Examinations), New Delhi, for ISC students taking classes XI & XII examinations.

Author: Bikas Chandra Bhui & Dipak Chatterjee
Publisher: Vikas Publishing House
ISBN: 8125930833
Category : Computers
Languages : en
Pages : 295

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Book Description
Mathematics for BCA is specially designed for students of BCA, who are at the threshold of a completely new domain. Keeping this in mind, the book has been planned with utmost care in the exposition of concepts, choice of illustrative examples, and also in sequencing of topics. The language is simple yet precise. A large number of worked out problems have been included to familiarize the students with the techniques to solving them, and to instill confidence. The topics are interdependent and must be studied in the same order as given in the book.

Author: Hardeo Sahai
Publisher: Springer Science & Business Media
ISBN: 0817632298
Category : Mathematics
Languages : en
Pages : 493

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Book Description
Systematic treatment of the commonly employed crossed and nested classification models used in analysis of variance designs with a detailed and thorough discussion of certain random effects models not commonly found in texts at the introductory or intermediate level. It also includes numerical examples to analyze data from a wide variety of disciplines as well as any worked examples containing computer outputs from standard software packages such as SAS, SPSS, and BMDP for each numerical example.

Author: Sanjoy Mahajan
Publisher: MIT Press
ISBN: 0262265591
Category : Education
Languages : en
Pages : 152

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Book Description
An antidote to mathematical rigor mortis, teaching how to guess answers without needing a proof or an exact calculation. In problem solving, as in street fighting, rules are for fools: do whatever works—don't just stand there! Yet we often fear an unjustified leap even though it may land us on a correct result. Traditional mathematics teaching is largely about solving exactly stated problems exactly, yet life often hands us partly defined problems needing only moderately accurate solutions. This engaging book is an antidote to the rigor mortis brought on by too much mathematical rigor, teaching us how to guess answers without needing a proof or an exact calculation. In Street-Fighting Mathematics, Sanjoy Mahajan builds, sharpens, and demonstrates tools for educated guessing and down-and-dirty, opportunistic problem solving across diverse fields of knowledge—from mathematics to management. Mahajan describes six tools: dimensional analysis, easy cases, lumping, picture proofs, successive approximation, and reasoning by analogy. Illustrating each tool with numerous examples, he carefully separates the tool—the general principle—from the particular application so that the reader can most easily grasp the tool itself to use on problems of particular interest. Street-Fighting Mathematics grew out of a short course taught by the author at MIT for students ranging from first-year undergraduates to graduate students ready for careers in physics, mathematics, management, electrical engineering, computer science, and biology. They benefited from an approach that avoided rigor and taught them how to use mathematics to solve real problems. Street-Fighting Mathematics will appear in print and online under a Creative Commons Noncommercial Share Alike license.

Author: Ranjan Roy
Publisher: Cambridge University Press
ISBN: 1108573150
Category : Mathematics
Languages : en
Pages : 480

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Book Description
This is the second volume of a two-volume work that traces the development of series and products from 1380 to 2000 by presenting and explaining the interconnected concepts and results of hundreds of unsung as well as celebrated mathematicians. Some chapters deal with the work of primarily one mathematician on a pivotal topic, and other chapters chronicle the progress over time of a given topic. This updated second edition of Sources in the Development of Mathematics adds extensive context, detail, and primary source material, with many sections rewritten to more clearly reveal the significance of key developments and arguments. Volume 1, accessible even to advanced undergraduate students, discusses the development of the methods in series and products that do not employ complex analytic methods or sophisticated machinery. Volume 2 examines more recent results, including deBranges' resolution of Bieberbach's conjecture and Nevanlinna's theory of meromorphic functions.