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  • Sách/Book


  • Authors: Paul C. Cozby (2014)

  • Methods in Behavioral Research continues to guide students toward success by helping them study smarter and more efficiently. Cozby and Bates provide helpful pedagogy, rich examples, and a clear voice in their approach to methodological decision-making.

  • Sách/Book


  • Authors: Abhijit Ghatak (2017)

  • This book helps readers understand the mathematics of machine learning, and apply them in different situations. It is divided into two basic parts, the first of which introduces readers to the theory of linear algebra, probability, and data distributions and it's applications to machine learning. It also includes a detailed introduction to the concepts and constraints of machine learning and what is involved in designing a learning algorithm. This part helps readers understand the mathematical and statistical aspects of machine learning

  • Sách/Book


  • Authors: F.H. Clarke (1990)

  • The author first develops a general theory of nonsmooth analysis and geometry which, together with a set of associated techniques, has had a profound effect on several branches of analysis and optimization. Clarke then applies these methods to obtain a powerful, unified approach to the analysis of problems in optimal control and mathematical programming. Examples are drawn from economics, engineering, mathematical physics, and various branches of analysis in this reprint volume.

  • Sách/Book


  • Authors: H.-J. Zimmermann (1996)

  • Fuzzy Set Theory - And Its Applications, Third Edition is a textbook for courses in fuzzy set theory. It can also be used as an introduction to the subject. The character of a textbook is balanced with the dynamic nature of the research in the field by including many useful references to develop a deeper understanding among interested readers.

  • Sách/Book


  • Authors: Bernhard Korte (2012)

  • This fifth edition has again been updated, revised, and significantlyextended, with more than 60 new exercises and new material on varioustopics, including Cayley's formula, blocking flows, faster"b"-matching separation, multidimensional knapsack, multicommoditymax-flow min-cut ratio, and sparsest cut. Thus, this book represents the state of the art of combinatorial optimization.

  • Sách/Book


  • Authors: Jagdev Singh (2022)

  • This book contains several contemporary topics in the areas of mathematical modelling and computation for complex systems. The readers find several new mathematical methods, mathematical models and computational techniques having significant relevance in studying various complex systems.

  • Sách/Book


  • Authors: Michio Masujima (2005)

  • Throughout the book, the author presents over 150 problems and exercises - many from such branches of physics as quantum mechanics, quantum statistical mechanics, and quantum field theory - together with outlines of the solutions in each case. Detailed solutions are given, supplementing the materials discussed in the main text, allowing problems to be solved making direct use of the method illustrated.

  • Sách/Book


  • Authors: Hannelore Liero (2011)

  • Based on the authors' lecture notes, this text presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Unlike related textbooks, it combines the theoretical basis of statistical inference with a useful applied toolbox that includes linear models. Suitable for a second semester undergraduate course on statistical inference, the text offers proofs to support the mathematics and does not require any use of measure theory

  • Sách/Book


  • Authors: Allan G. Bluman (2022)

  • The book follows a non-theoretical approach without formal proofs, explaining concepts intuitively and supporting them with abundant examples. The applications span a range of topics, including problems in business, sports, health, architecture, education, entertainment, political science, psychology, history, criminal justice, the environment, transportation, physical sciences, demographics, and travel.

  • Sách/Book


  • Authors: Rachel Appleby (2018)

  • This section not only provides information on the teaching points covered in the unit, but also offers some background information on the main business theme of the unit and its importance in the current business world. If you are less familiar with the world of business, you will find this section especially helpful to read before starting a unit.