GATE Mathematics PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download GATE Mathematics PDF full book. Access full book title GATE Mathematics by Dr. N. K. Singh. Download full books in PDF and EPUB format.
Author: Dr. N. K. Singh
Publisher: Upkar Prakashan
ISBN: 9788174828705
Category :
Languages : en
Pages : 444
Get Book Here
Book Description
Author: Dr. N. K. Singh
Publisher: Upkar Prakashan
ISBN: 9788174828705
Category :
Languages : en
Pages : 444
Get Book Here
Book Description
Author: Jordan Ellenberg
Publisher: Penguin Press
ISBN: 1594205221
Category : Mathematics
Languages : en
Pages : 480
Get Book Here
Book Description
A brilliant tour of mathematical thought and a guide to becoming a better thinker, How Not to Be Wrong shows that math is not just a long list of rules to be learned and carried out by rote. Math touches everything we do; It's what makes the world make sense. Using the mathematician's methods and hard-won insights-minus the jargon-professor and popular columnist Jordan Ellenberg guides general readers through his ideas with rigor and lively irreverence, infusing everything from election results to baseball to the existence of God and the psychology of slime molds with a heightened sense of clarity and wonder. Armed with the tools of mathematics, we can see the hidden structures beneath the messy and chaotic surface of our daily lives. How Not to Be Wrong shows us how--Publisher's description.
Author: B S Grewal
Publisher:
ISBN: 9788174091956
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Trishna Knowledge Systems
Publisher: Pearson Education India
ISBN: 9353940591
Category :
Languages : en
Pages : 617
Get Book Here
Book Description
This book has been prepared by a group of faculties who are highly experienced in training GATE candidates and are also subject matter experts. As a result this book would serve as a one-stop solution for any GATE aspirant to crack the examination. The bo
Author: Elias M. Stein
Publisher: Princeton University Press
ISBN: 1400835569
Category : Mathematics
Languages : en
Pages : 423
Get Book Here
Book Description
Real Analysis is the third volume in the Princeton Lectures in Analysis, a series of four textbooks that aim to present, in an integrated manner, the core areas of analysis. Here the focus is on the development of measure and integration theory, differentiation and integration, Hilbert spaces, and Hausdorff measure and fractals. This book reflects the objective of the series as a whole: to make plain the organic unity that exists between the various parts of the subject, and to illustrate the wide applicability of ideas of analysis to other fields of mathematics and science. After setting forth the basic facts of measure theory, Lebesgue integration, and differentiation on Euclidian spaces, the authors move to the elements of Hilbert space, via the L2 theory. They next present basic illustrations of these concepts from Fourier analysis, partial differential equations, and complex analysis. The final part of the book introduces the reader to the fascinating subject of fractional-dimensional sets, including Hausdorff measure, self-replicating sets, space-filling curves, and Besicovitch sets. Each chapter has a series of exercises, from the relatively easy to the more complex, that are tied directly to the text. A substantial number of hints encourage the reader to take on even the more challenging exercises. As with the other volumes in the series, Real Analysis is accessible to students interested in such diverse disciplines as mathematics, physics, engineering, and finance, at both the undergraduate and graduate levels. Also available, the first two volumes in the Princeton Lectures in Analysis:
Author: Dennis Zill
Publisher: Jones & Bartlett Learning
ISBN: 0763779660
Category : Mathematics
Languages : en
Pages : 1005
Get Book Here
Book Description
Accompanying CD-ROM contains ... "a chapter on engineering statistics and probability / by N. Bali, M. Goyal, and C. Watkins."--CD-ROM label.
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
Get Book Here
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: Enamul Haque
Publisher: Enel Publications
ISBN: 1447771303
Category : Business & Economics
Languages : en
Pages : 221
Get Book Here
Book Description
Enter the captivating world of Mathematics and Computing with "Introduction to Mathematics for Computing: Algorithms and Data Structures." This comprehensive guide is designed for non-technical enthusiasts, providing an accessible and engaging introduction to essential mathematical concepts for computing. Dive into six insightful chapters that introduce you to the foundations of mathematical structures in computing, discrete mathematics and algorithms, linear algebra and calculus, probability and statistics, optimisation, and Boolean algebra. Explore sets, sequences, functions, graphs, counting principles, and more. Learn about data structures, algorithms, and optimisation techniques used in computing. The book's practice questions, exercises, and projects reinforce the concepts learned, ensuring a solid understanding of these essential topics. Written in accessible and straightforward language, "Introduction to Mathematics for Computing: Algorithms and Data Structures" is the perfect resource for anyone eager to explore the exciting world of Mathematics and Computing. Start your journey today!
Author: G K Publications (P) Ltd
Publisher: Gk Publications
ISBN: 9789390820788
Category : Art
Languages : en
Pages : 688
Get Book Here
Book Description
Lakhs of students write the GATE exam annually. The level of competition is fierce, owing to the increasing competition for a limited number of seats. With the right books for preparation, achieving the goal of getting a good rank in GATE becomes a reality. While preparing for GATE, students should make a habit to practice and revise the concepts with both concept clarity and lots of questions for practice. This is where GKP's Prep Series: GATE 2022: General Aptitude & Engineering Mathematics, which is prepared by renowned faculties who are subject matter experts, is your best bet to be GATE READY! The entire book has been revised and updated as per the latest exam syllabus. It is divided into units, chapters and further segmented into topics. The questions given with the unit have detailed answers, supported by in-depth explanations and diagrams. The book includes well-explained sections on General Aptitude and Engineering Mathematics. It also includes more than 1500 MCQs & NTQs, last six years GATE Solved papers of 2016 and 2021. Features: Comprehensive theory with concepts. Ample questions supplemented with solutions and diagrams. Thoroughly revised and updated as per new syllabus.
Author: HK Dass et. al
Publisher: S. Chand Publishing
ISBN: 9352836537
Category :
Languages : en
Pages :
Get Book Here
Book Description
Engineering Mathematics (Conventional and Objective Type) completely covers the subject of Engineering Mathematics for engineering students (as per AICTE) as well as engineering entrance exams such as GATE, IES, IAS and Engineering Services Exams. Though a first edition, the book is enriched by 50 years of Academics and professional experience of the Author(s) and the experience of more than 85 published books.
