Introduction to Linear Algebra 5th edt. Wellesley-Cambridge Press (2016) by Gilbert Strang
Linear algebra is something all mathematics undergraduates and many other students, in subjects ranging from engineering to economics, have to learn. The fifth edition of this hugely successful textbook retains all the qualities of earlier editions, while at the same time seeing numerous minor improvements and major additions. The latter include: • A new chapter on singular values and singular vectors, including ways to analyze a matrix of data • A revised chapter on computing in linear algebra, with professional-level algorithms and code that can be downloaded for a variety of languages • A new section on linear algebra and cryptography • A new chapter on linear algebra in probability and statistics. A dedicated and active website also offers solutions to exercises as well as new exercises from many different sources (including practice problems, exams, and development of textbook examples), plus codes in MATLAB®, Julia, and Python.
Introduction to Linear Algebra with Applications-McGraw-Hill (2009) by James DeFranza, Daniel Gagliardi
Linear Algebra with Applications is an introductory text targeted to second or advanced first year undergraduates in engineering or mathematics. The organization of this text is motivated by the authors’ experience which tells them what essential concepts should be mastered by students in a one semester undergraduate Linear Algebra course. The authors’ main objectives are to fully develop each topic before moving on and to connect topics naturally. The authors take great care to meet both these objectives, because this organization will allow instructors teaching from this text to stay on task so that each topic can be covered with the depth required before progressing to the next logical one. As a result the reader is prepared for each new unit and there is no need to repeat a concept in a subsequent chapter when it is utilized.
This text is geared towards an introductory linear algebra course taken by first or second year undergraduate students. However, it offers the opportunity to introduce the importance of abstraction, not only in mathematics, but in many other areas where Linear Algebra is used. The textbook’s approach is to take advantage of this opportunity by presenting abstract vector spaces as early as possible. Throughout the text, the authors are mindful of the difficulties that students at this level have with abstraction and introduce new concepts first through examples which gently illustrate the idea. To motivate the definition of an abstract vector space, and the subtle concept of linear independence, the authors use addition and scalar multiplication of vectors in Euclidean Space. The authors have strived to create a balance between computation, problem solving, and abstraction. This approach equips students with the necessary skills and problem solving strategies in an abstract setting that allows for a greater understanding and appreciation for the numerous applications of the subject.
Introduction to Real Analysis 4th Edition by Donald R. Sherbert, Robert G. Bartle
This text provides the fundamental concepts and techniques of real analysis for students in all of these areas. It helps one develop the ability to think deductively, analyse mathematical situations and extend ideas to a new context. Like the first three editions, this edition maintains the same spirit and user-friendly approach with addition examples and expansion on Logical Operations and Set Theory. There is also content revision in the following areas: introducing point-set topology before discussing continuity, including a more thorough discussion of limsup and limimf, covering series directly following sequences, adding coverage of Lebesgue Integral and the construction of the reals, and drawing student attention to possible applications wherever possible.
Kiran Competitive Mathematics Bilingual Arithmetic + Advance By Abhinay Sir Useful for all Competitive Exam(English Medium)(3332) || Full PDF Download
Kiran Competitive Mathematics Bilingual Arithmetic + Advance Abhinay Sir for All Competitive Exam English Medium (3332) CONTENT Section A [Concept of Numbers] 1. Number 2. Fraction and 3. Simplification 4. Surds and Indices 5. LCM and 6. Average 7. Sequence and 8. Linear 9. Co-ordinate Geometry 10. Quadratic Equation 11. Algebra Section B [Concept of Percentage] 12. Percentage 13. Profit and Loss 14. Discount 15. Simple Interest 16. Compound Interest 17. S.I., C.I. and Installment Section C [Concept of Ratio] 18. Ratio and Proportion 19. Alligation & Mixture 20. Problems on Ages 21. Partnership Section D [Concept of Time] 22. Time and Work 23. Work and Wages 24. Pipe and 25. Time and Distance Part-A : Train Part-B : Race 26. Boat and Stream Section E [ Concept of Advance Math] 27. Radian and Degree 28. Trigonometry 29. Height and Distance 30. Mensuration 31. Prism and Pyramid 32. Geometry 33. Polygon Section F [Concept of Data Analysis] 34. Data Interpretation and Stastistics
KVS -POPULAR MASTER GUIDE KVS-TEACHERS PGT MATHEMATICS Recruitment Examination || Publisher : Ramesh Publishing House || Author: R. Gupta|| Full PDF Download
KVS -POPULAR MASTER GUIDE KVS-TEACHERS PGT MATHEMATICS Recruitment Examination || Publisher : Ramesh Publishing House || Author: R. Gupta
This comprehensive book is specially developed for the candidates of Kendriya Vidyalaya Sangathan: PGT (Mathematics) Recruitment Exam. This book includes Model Paper (Solved) and Study Material for the purpose of practice of questions based on the latest pattern of the examination. Detailed Explanatory Answers have also been provided for the selected questions for Better Understanding of the Candidates.
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Linear Algebra (4th Edition) 2002 by Stephen H. Friedberg, Arnold J. Insel, Lawrence E. Spence
This top-selling, theorem-proof book presents a careful treatment of the principle topics of linear algebra, and illustrates the power of the subject through a variety of applications. It emphasizes the symbiotic relationship between linear transformations and matrices, but states theorems in the more general infinite-dimensional case where appropriate. Chapter topics cover vector spaces, linear transformations and matrices, elementary matrix operations and systems of linear equations, determinants, diagonalization, inner product spaces, and canonical forms. For statisticians and engineers.
Linear Algebra (5th Edition) 2019 by Stephen H. Friedberg, Arnold J. Insel, Lawrence E. Spence
This top-selling, theorem-proof book presents a careful treatment of the principle topics of linear algebra, and illustrates the power of the subject through a variety of applications. It emphasizes the symbiotic relationship between linear transformations and matrices, but states theorems in the more general infinite-dimensional case where appropriate. Chapter topics cover vector spaces, linear transformations and matrices, elementary matrix operations and systems of linear equations, determinants, diagonalization, inner product spaces, and canonical forms. For statisticians and engineers.
Linear Algebra 4th Edition by Jim Hefferon
This text covers a standard first course: Gauss’s Method, vector spaces, linear maps and matrices, determinants, and eigenvalues and eigenvectors. In addition, each chapter ends with some brief topics, such as applications.
What sets it apart is careful motivation, many examples, and extensive exercise sets. Together, these help each student master the material of the course and also help an instructor develop that student’s level of mathematical maturity.