The Cauchy-Schwarz Master Class PDF Download
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Author: J. Michael Steele
Publisher: Cambridge University Press
ISBN: 9780521546775
Category : Mathematics
Languages : en
Pages : 320
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Book Description
This 2004 book presents a fascinating collection of problems related to the Cauchy-Schwarz inequality and coaches readers through solutions.
Author: J. Michael Steele
Publisher: Cambridge University Press
ISBN: 9780521546775
Category : Mathematics
Languages : en
Pages : 320
Get Book
Book Description
This 2004 book presents a fascinating collection of problems related to the Cauchy-Schwarz inequality and coaches readers through solutions.
Author: J. Michael Steele
Publisher: Cambridge University Press
ISBN: 1139454560
Category : Mathematics
Languages : en
Pages : 320
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Book Description
This lively, problem-oriented text, first published in 2004, is designed to coach readers toward mastery of the most fundamental mathematical inequalities. With the Cauchy-Schwarz inequality as the initial guide, the reader is led through a sequence of fascinating problems whose solutions are presented as they might have been discovered - either by one of history's famous mathematicians or by the reader. The problems emphasize beauty and surprise, but along the way readers will find systematic coverage of the geometry of squares, convexity, the ladder of power means, majorization, Schur convexity, exponential sums, and the inequalities of Hölder, Hilbert, and Hardy. The text is accessible to anyone who knows calculus and who cares about solving problems. It is well suited to self-study, directed study, or as a supplement to courses in analysis, probability, and combinatorics.
Author: J. Michael Steele
Publisher:
ISBN: 9780521170017
Category :
Languages : en
Pages :
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Book Description
Author: J. Michael Steele
Publisher: Mathematical Association of America
ISBN: 9780521837750
Category : Mathematics
Languages : en
Pages : 318
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Book Description
Michael Steele describes the fundamental topics in mathematical inequalities and their uses. Using the Cauchy-Schwarz inequality as a guide, Steele presents a fascinating collection of problems related to inequalities and coaches readers through solutions, in a style reminiscent of George Polya, by teaching basic concepts and sharpening problem solving skills at the same time. Undergraduate and beginning graduate students in mathematics, theoretical computer science, statistics, engineering, and economics will find the book appropriate for self-study.
Author: John Michael Steele
Publisher:
ISBN:
Category : Inequalities (Mathematics)
Languages : en
Pages : 306
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Book Description
Using the Cauchy-Schwarz inequality as the initial guide, this text explains the concepts of mathematical inequalities by presenting a sequence of problems as they might have been discovered, the solutions to which can either be found with one of history's great mathematicians or by the reader themselves.
Author: Claudi Alsina
Publisher: American Mathematical Soc.
ISBN: 1614442029
Category : Mathematics
Languages : en
Pages : 181
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Book Description
Introduces the richness and variety of inequalities in mathematics using illustration and visualisation.
Author: Richard Hartley
Publisher: Cambridge University Press
ISBN: 9780521540513
Category : Computers
Languages : en
Pages : 676
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Book Description
A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.
Author: G. H. Hardy
Publisher: Cambridge University Press
ISBN: 9780521358804
Category : Mathematics
Languages : en
Pages : 344
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Book Description
This classic of the mathematical literature forms a comprehensive study of the inequalities used throughout mathematics. First published in 1934, it presents clearly and lucidly both the statement and proof of all the standard inequalities of analysis. The authors were well-known for their powers of exposition and made this subject accessible to a wide audience of mathematicians.
Author: K.D. Joshi
Publisher: Universities Press
ISBN: 9788173714740
Category :
Languages : en
Pages : 992
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Book Description
Author: J. Michael Steele
Publisher: SIAM
ISBN: 0898713803
Category : Mathematics
Languages : en
Pages : 164
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Book Description
An introduction to the state of the art of the probability theory most applicable to combinatorial optimization. The questions that receive the most attention are those that deal with discrete optimization problems for points in Euclidean space, such as the minimum spanning tree, the traveling-salesman tour, and minimal-length matchings.
