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Results 651-660 of 1488 (Search time: 0.202 seconds).
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  • Sách/Book

  • Computer science handbook / editor-in-chief

    • Authors: Allen B. Tucker (2004)

  • This rich collection of theory and practice fully characterizes the current state of the field and conveys the modern spirit, accomplishments, and direction of computer science.
  • Sách/Book

  • Methods in behavioral research

    • 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

  • Machine Learning with R

    • 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

  • Optimization and nonsmooth analysis

    • 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

  • Fuzzy set theory--and its applications

    • 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

  • Combinatorial optimization : theory and algorithms

    • 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

  • Methods of Mathematical Modelling and Computation for Complex Systems

    • 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

  • Applied mathematical methods in theoretical physics

    • 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.