GATE Mathematics

GATE Mathematics
Author: Dr. N. K. Singh
Publisher: Upkar Prakashan
Total Pages: 444
Release: 2010-09
Genre:
ISBN: 9788174828705

Real Analysis

Real Analysis
Author: Elias M. Stein
Publisher: Princeton University Press
Total Pages: 423
Release: 2009-11-28
Genre: Mathematics
ISBN: 1400835569

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:

How Not to Be Wrong

How Not to Be Wrong
Author: Jordan Ellenberg
Publisher: Penguin
Total Pages: 482
Release: 2015-05-26
Genre: Mathematics
ISBN: 0143127535

“Witty, compelling, and just plain fun to read . . ." —Evelyn Lamb, Scientific American The Freakonomics of math—a math-world superstar unveils the hidden beauty and logic of the world and puts its power in our hands The math we learn in school can seem like a dull set of rules, laid down by the ancients and not to be questioned. In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it. Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer? How Not to Be Wrong presents the surprising revelations behind all of these questions and many more, using the mathematician’s method of analyzing life and exposing the hard-won insights of the academic community to the layman—minus the jargon. Ellenberg chases mathematical threads through a vast range of time and space, from the everyday to the cosmic, encountering, among other things, baseball, Reaganomics, daring lottery schemes, Voltaire, the replicability crisis in psychology, Italian Renaissance painting, artificial languages, the development of non-Euclidean geometry, the coming obesity apocalypse, Antonin Scalia’s views on crime and punishment, the psychology of slime molds, what Facebook can and can’t figure out about you, and the existence of God. Ellenberg pulls from history as well as from the latest theoretical developments to provide those not trained in math with the knowledge they need. Math, as Ellenberg says, is “an atomic-powered prosthesis that you attach to your common sense, vastly multiplying its reach and strength.” With the tools of mathematics in hand, you can understand the world in a deeper, more meaningful way. How Not to Be Wrong will show you how.

Mathematics for Machine Learning

Mathematics for Machine Learning
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
Total Pages: 392
Release: 2020-04-23
Genre: Computers
ISBN: 1108569323

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.

GATE General Aptitude & Engineering Mathematics | GATE 2020 | By Pearson

GATE General Aptitude & Engineering Mathematics | GATE 2020 | By Pearson
Author: Trishna Knowledge Systems
Publisher: Pearson Education India
Total Pages: 624
Release:
Genre:
ISBN: 9353940591

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

GATE Mathematics and General Aptitude

GATE Mathematics and General Aptitude
Author: Sakti Pada Nanda
Publisher:
Total Pages: 416
Release: 2020-06
Genre: Mathematics
ISBN: 9780648835714

Comprehensive: With nearly 1200 solved problems divided into 12 Chapters, the book is more comprehensive than the available books on the subject. * Easy to learn: An attempt is made to start with the explanation of the elementary concept of every chapter complemented by formulas and variety of solved problems. A number of questions with answers only are given for practice at the end of each chapter.

Engineering Mathematics for GATE & ESE 2020

Engineering Mathematics for GATE & ESE 2020
Author: Online Verdan
Publisher: Infinity Educations
Total Pages: 585
Release: 2019-04-22
Genre:
ISBN: 8194029449

The book "Engineering Mathematics" has a purpose to satisfy the need of B.Tech. Students for all semester and meet the requirements of progressive Candidates appearing for GATE & ESE 2020. This book contain seven sections with a major focus on detailing of questions among Linear Algebra, Calculus, Diffrential Equations, Complex Functions, Probability and Satistics, Numerical Methods, and Transform Theory. The book covers Topic-wise theory with solved examples, Practise questions and Previous Years solved questions of GATE & ESE of various engineering streams, viz. CE, CH, CS, EC, EE, IN, ME. The book provides detailed understanding of mathematical terms by showing mathematical techniques, together with easy and understandable explanations of the thought behind them. The team OnlineVerdan have shown their efforts to bring the thought of candidate with this worthful unique book on e-publication platform.

Gate 2022: General Aptitude & Engineering Mathematics - Guide

Gate 2022: General Aptitude & Engineering Mathematics - Guide
Author: G K Publications (P) Ltd
Publisher: Gk Publications
Total Pages: 688
Release: 2021-10-06
Genre: Art
ISBN: 9789390820788

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.

Engineering Mathematics - ESE,GATE,PSUs 2020

Engineering Mathematics - ESE,GATE,PSUs 2020
Author: IES Master Team
Publisher: IES Master Publication
Total Pages: 19
Release:
Genre: Technology & Engineering
ISBN: 9388080521

Engineering Mathematics is central to ESE, GATE, and PSUs exam, as well as technical papers of ECE and EE branches. IES Master Engineering Mathematics gives you the most detailed solutions for 1,479 questions from the last 27 years of GATE and ESE exams. 280 topics under 32 chapters in 8 units, it is the only book that has complete theory on ESE and GATE pattern. The book is designed and structured to help you save time while revising. In addition to this, the book comes packed with sufficient number of solved examples after each topic. This not only helps in concept building but also eases the process of learning. The book includes 640 such solved examples for conceptual clarity.

Discrete Mathematics for Computer Science

Discrete Mathematics for Computer Science
Author: Gary Haggard
Publisher: Cengage Learning
Total Pages: 0
Release: 2006
Genre: Computers
ISBN: 9780534495015

Master the fundamentals of discrete mathematics with DISCRETE MATHEMATICS FOR COMPUTER SCIENCE with Student Solutions Manual CD-ROM! An increasing number of computer scientists from diverse areas are using discrete mathematical structures to explain concepts and problems and this mathematics text shows you how to express precise ideas in clear mathematical language. Through a wealth of exercises and examples, you will learn how mastering discrete mathematics will help you develop important reasoning skills that will continue to be useful throughout your career.