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  • Sách/Book

  • Prime Numbers and Computer Methods for Factorization

    • Authors: Hans Riesel (2012)

  • The book treats four fundamental problems: the number of primes below a given limit, the approximate number of primes, the recognition of primes and the factorization of large numbers. The author provides explicit algorithms and computer programs, and has attempted to discuss as many of the classically important results as possible, as well as the most recent discoveries.
  • Sách/Book

  • Convex Analysis and Global Optimization

    • Authors: Hoang Tuy (2016)

  • The second edition has been brought up to date and continues to develop a coherent and rigorous theory of deterministic global optimization, highlighting the essential role of convex analysis. The text has been revised and expanded to meet the needs of research, education, and applications for many years to come.
  • Sách/Book

  • An Introduction to Nonstandard Real Analysis

    • Authors: Albert Hurd (1995)

  • The main addition of this book to the contributions of previous textbooks on nonstandard analysis (12,37,42,46) is the first chapter, which eases the reader into the subject with an elementary model suitable for the calculus, and the fourth chapter on measure theory in nonstandard models.
  • Sách/Book

  • A Concrete Introduction to Real Analysis

    • Authors: Robert Carlson (2018)

  • The standard, austere approach to teaching modern mathematics with its emphasis on formal proofs can be challenging and discouraging for many students. To remedy this situation, the new edition is more rewarding and inviting. Students benefit from the text by gaining a solid foundational knowledge of analysis, which they can use in their fields of study and chosen professions.
  • Sách/Book

  • Elementary Differential Equations and Boundary Value Problems

    • Authors: William E. Boyce (2020)

  • The authors have sought to combine a sound and accurate (but not abstract) exposition of the elementary theory of differential equations with considerable material on methods of solution, analysis, and approximation that have proved useful in a wide variety of applications.
  • Sách/Book

  • An Introduction to Real Analysis

    • Authors: Ravi P. Agarwal (2018)

  • This book provides a compact, but thorough, introduction to the subject of Real Analysis. It is intended for a senior undergraduate and for a beginning graduate one-semester course.
  • Sách/Book

  • Concise Introduction to Basic Real Analysis

    • Authors: Hemen Dutta (2021)

  • The book is ideal for students, instructors, as well as those doing research in areas requiring a basic knowledge of Real Analysis. Those more advanced in the field will also find the book useful to refresh their knowledge of the topic.
  • Sách/Book

  • An introduction to categorical data analysis

    • Authors: Alan Agresti (2019)

  • Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data.