Four Figure Mathematical Tables

Four Figure Mathematical Tables PDF Author: James Thomson Bottomley
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 68

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Book Description

Four Figure Mathematical Tables

Four Figure Mathematical Tables PDF Author: James Thomson Bottomley
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 68

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Book Description


Standard Four-figure Mathematical Tables

Standard Four-figure Mathematical Tables PDF Author: Louis Melville Milne-Thomson
Publisher:
ISBN:
Category : Exponential functions
Languages : en
Pages : 243

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Four-figure Mathematical Tables

Four-figure Mathematical Tables PDF Author: Cargill Gilston Knott
Publisher: Legare Street Press
ISBN: 9781017197914
Category : History
Languages : en
Pages : 0

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Book Description
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

CRC Standard Mathematical Tables and Formulae, 32nd Edition

CRC Standard Mathematical Tables and Formulae, 32nd Edition PDF Author: Daniel Zwillinger
Publisher: CRC Press
ISBN: 1439835500
Category : Mathematics
Languages : en
Pages : 792

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Book Description
With over 6,000 entries, CRC Standard Mathematical Tables and Formulae, 32nd Edition continues to provide essential formulas, tables, figures, and descriptions, including many diagrams, group tables, and integrals not available online. This new edition incorporates important topics that are unfamiliar to some readers, such as visual proofs and sequences, and illustrates how mathematical information is interpreted. Material is presented in a multisectional format, with each section containing a valuable collection of fundamental tabular and expository reference material. New to the 32nd Edition A new chapter on Mathematical Formulae from the Sciences that contains the most important formulae from a variety of fields, including acoustics, astrophysics, epidemiology, finance, statistical mechanics, and thermodynamics New material on contingency tables, estimators, process capability, runs test, and sample sizes New material on cellular automata, knot theory, music, quaternions, and rational trigonometry Updated and more streamlined tables Retaining the successful format of previous editions, this comprehensive handbook remains an invaluable reference for professionals and students in mathematical and scientific fields.

Logarithmic and Mathematical Tables

Logarithmic and Mathematical Tables PDF Author:
Publisher:
ISBN:
Category : Logarithms
Languages : en
Pages : 406

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Handbook of Mathematical Functions

Handbook of Mathematical Functions PDF Author: Milton Abramowitz
Publisher: Courier Corporation
ISBN: 9780486612720
Category : Mathematics
Languages : en
Pages : 1068

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Book Description
An extensive summary of mathematical functions that occur in physical and engineering problems

Sherwin's mathematical tables ... The fourth edition. Carefully revised and corrected, by William Gardiner

Sherwin's mathematical tables ... The fourth edition. Carefully revised and corrected, by William Gardiner PDF Author: Henry Sherwin
Publisher:
ISBN:
Category :
Languages : en
Pages : 56

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Elementary Mathematical Tables

Elementary Mathematical Tables PDF Author: Alexander Macfarlane
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 124

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The History of Mathematical Tables

The History of Mathematical Tables PDF Author: Martin Campbell-Kelly
Publisher: OUP Oxford
ISBN: 019154521X
Category : Mathematics
Languages : en
Pages : 372

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Book Description
The oldest known mathematical table was found in the ancient Sumerian city of Shuruppag in southern Iraq. Since then, tables have been an important feature of mathematical activity; table making and printed tabular matter are important precursors to modern computing and information processing. This book contains a series of articles summarising the technical, institutional and intellectual history of mathematical tables from earliest times until the late twentieth century. It covers mathematical tables (the most important computing aid for several hundred years until the 1960s), data tables (eg. Census tables), professional tables (eg. insurance tables), and spreadsheets - the most recent tabular innovation. The book is presented in a scholarly yet accessible way, making appropriate use of text boxes and illustrations. Each chapter has a frontispiece featuring a table along with a small illustration of the source where the table was first displayed. Most chapters have sidebars telling a short "story" or history relating to the chapter. The aim of this edited volume is to capture the history of tables through eleven chapters written by subject specialists. The contributors describe the various information processing techniques and artefacts whose unifying concept is "the mathematical table".

Mathematics for Machine Learning

Mathematics for Machine Learning PDF 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.