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  • Sách/Book


  • Authors: Richard J. Larsen (2012)

  • Noted for its integration of real-world data and case studies, this text offers sound coverage of the theoretical aspects of mathematical statistics. The authors demonstrate how and when to use statistical methods, while reinforcing the calculus that students have mastered in previous courses. Throughout the Fifth Edition, the authors have added and updated examples and case studies, while also refining existing features that show a clear path from theory to practice.

  • Sách/Book


  • Authors: Lekh Raj Vermani (2019)

  • This book introduces a set of concepts in solving problems computationally such as Growth of Functions; Backtracking; Divide and Conquer; Greedy Algorithms; Dynamic Programming; Elementary Graph Algorithms; Minimal Spanning Tree; Single-Source Shortest Paths; All Pairs Shortest Paths; Flow Networks; Polynomial Multiplication, to ways of solving NP-Complete Problems, supported with comprehensive, and detailed problems and solutions, making it an ideal resource to those studying computer science, computer engineering and information technology.

  • Sách/Book


  • Authors: Barnabas Bede (2013)

  • This book presents a mathematically-based introduction into the fascinating topic of Fuzzy Sets and Fuzzy Logic and might be used as textbook at both undergraduate and graduate levels and also as reference guide for mathematician, scientists or engineers who would like to get an insight into Fuzzy Logic. Fuzzy Sets have been introduced by Lotfi Zadeh in 1965 and since then, they have been used in many applications. As a consequence, there is a vast literature on the practical applications of fuzzy sets, while theory has a more modest coverage

  • Sách/Book


  • Authors: Lanier, Lee (2015)

  • In Compositing Visual Effects in After Effects, industry veteran Lee Lanier covers all the common After Effects techniques any serious visual effects artist needs to know, combining the latest, professionally-vetted studio practices and workflows with multi-chapter projects and hands-on lessons.

  • Sách/Book


  • Authors: Jack D. Hidary (2019)

  • The second edition includes extensive updates and revisions, both to textual content and to the code. Sections have been added on quantum machine learning, quantum error correction, Dirac notation and more

  • Sách/Book


  • Authors: De Chesnay, Mary (2014)

  • Includes bibliographical references. The book describes traditional and focused grounded theory, phases of research, and methodology from sample and setting to dissemination and follow-up. It encompasses state-of-the-art research about grounded theory with an extensive bibliography and resources. Varied case studies range from promoting health for an overweight child to psychological adjustment of Chinese women with breast cancer to a study of nursing students' experiences in the off-campus clinical setting, among many others. The book also discusses techniques whereby researchers can ensure high standards of rigor. Each chapter includes objectives, competencies, review questions, critical thinking exercises, and links to web resources. With a focus on practical problem solving t...