Author : Stephen Boyd
Publisher : Cambridge University Press
Page : 477 pages
File Size : 48,7 MB
Release : 2018-06-07
Category : Business & Economics
ISBN : 1316518965
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
Author : David J. Morin
Publisher : Createspace Independent Publishing Platform
Page : 0 pages
File Size : 49,56 MB
Release : 2016
Category : Probabilities
ISBN : 9781523318674
Preface -- Combinatorics -- Probability -- Expectation values -- Distributions -- Gaussian approximations -- Correlation and regression -- Appendices.
Author : Alfred S. Posamentier
Publisher : Courier Corporation
Page : 296 pages
File Size : 28,47 MB
Release : 2012-05-04
Category : Mathematics
ISBN : 0486131548
Over 300 unusual problems, ranging from easy to difficult, involving equations and inequalities, Diophantine equations, number theory, quadratic equations, logarithms, more. Detailed solutions, as well as brief answers, for all problems are provided.
Author : M. Ram Murty
Publisher : Springer Science & Business Media
Page : 354 pages
File Size : 26,98 MB
Release : 2005-09-28
Category : Mathematics
ISBN : 0387269983
The problems are systematically arranged to reveal the evolution of concepts and ideas of the subject Includes various levels of problems - some are easy and straightforward, while others are more challenging All problems are elegantly solved
Author : Maxwell Rosenlicht
Publisher : Courier Corporation
Page : 270 pages
File Size : 21,49 MB
Release : 2012-05-04
Category : Mathematics
ISBN : 0486134687
Written for junior and senior undergraduates, this remarkably clear and accessible treatment covers set theory, the real number system, metric spaces, continuous functions, Riemann integration, multiple integrals, and more. 1968 edition.
Author : Paul R. Halmos
Publisher : American Mathematical Soc.
Page : 333 pages
File Size : 45,23 MB
Release : 1995-12-31
Category : Mathematics
ISBN : 1614442126
Linear Algebra Problem Book can be either the main course or the dessert for someone who needs linear algebraand today that means every user of mathematics. It can be used as the basis of either an official course or a program of private study. If used as a course, the book can stand by itself, or if so desired, it can be stirred in with a standard linear algebra course as the seasoning that provides the interest, the challenge, and the motivation that is needed by experienced scholars as much as by beginning students. The best way to learn is to do, and the purpose of this book is to get the reader to DO linear algebra. The approach is Socratic: first ask a question, then give a hint (if necessary), then, finally, for security and completeness, provide the detailed answer.
Author : John M. Howie
Publisher : Springer Science & Business Media
Page : 280 pages
File Size : 49,1 MB
Release : 2012-12-06
Category : Mathematics
ISBN : 1447103416
Real Analysis is a comprehensive introduction to this core subject and is ideal for self-study or as a course textbook for first and second-year undergraduates. Combining an informal style with precision mathematics, the book covers all the key topics with fully worked examples and exercises with solutions. All the concepts and techniques are deployed in examples in the final chapter to provide the student with a thorough understanding of this challenging subject. This book offers a fresh approach to a core subject and manages to provide a gentle and clear introduction without sacrificing rigour or accuracy.
Author : John M Erdman
Publisher : World Scientific
Page : 220 pages
File Size : 15,4 MB
Release : 2020-09-28
Category : Mathematics
ISBN : 9811220425
This book contains an extensive collection of exercises and problems that address relevant topics in linear algebra. Topics that the author finds missing or inadequately covered in most existing books are also included. The exercises will be both interesting and helpful to an average student. Some are fairly routine calculations, while others require serious thought.The format of the questions makes them suitable for teachers to use in quizzes and assigned homework. Some of the problems may provide excellent topics for presentation and discussions. Furthermore, answers are given for all odd-numbered exercises which will be extremely useful for self-directed learners. In each chapter, there is a short background section which includes important definitions and statements of theorems to provide context for the following exercises and problems.
Author : Marc Peter Deisenroth
Publisher : Cambridge University Press
Page : 392 pages
File Size : 24,18 MB
Release : 2020-04-23
Category : 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.
Author : Ion Goian
Publisher : Infinite Study
Page : 146 pages
File Size : 21,58 MB
Release : 2015-07-01
Category :
ISBN : 1599733420
In this book, you will find algebra exercises and problems, grouped by chapters, intended for higher grades in high schools or middle schools of general education. Its purpose is to facilitate training in mathematics for students in all high school categories, but can be equally helpful in a standalone workout. The book can also be used as an extracurricular source, as the reader shall find enclosed important theorems and formulas, standard definitions and notions that are not always included in school textbooks.
