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Results 1-10 of 16 (Search time: 0.142 seconds).
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  • Sách/Book

  • Convex Analysis for Optimization (Graduate Texts in Operations Research)

    • Authors: Jan Brinkhuis (2020)

  • The book introduces a systematic three-step method for doing everything, which can be summarized as "conify, work, deconify". It starts with the concept of convex sets, their primal description, constructions, topological properties and dual description, and then moves on to convex functions and the fundamental principles of convex optimization and their use in the complete analysis of convex optimization problems by means of a systematic four-step method.
  • 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

  • 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

  • Introduction to probability and statistics for engineers and scientist

    • Authors: Sheldon M. Ross (2021)

  • This book is intended for upper level undergraduate and graduate students taking a probability and statistics course in engineering programs as well as those across the biological, physical and computer science departments. It is also appropriate for scientists, engineers and other professionals seeking a reference of foundational content and application to these fields.
  • Sách/Book

  • Theory of statistical inference

    • Authors: Anthony Almudevar. (2021)

  • "The purpose of applying mathematical theory to the theory of statistical inference is to make it simpler and more elegant. Theory of Statistical Inference is concerned with the development of a type of optimization theory which can be used to inform the choice of statistical methodology. Of course, this would be pointless without reference to such methods. We are simply noting that they are included in support of the larger goal. This book distinguishes itself from other graduate textbooks because it is written from the point of view that some degree of understanding of measure theory, as well as other branches of mathematics, which include topology, group theory and complex analysis, should be a part of the canon of statistical inference
  • 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

  • Elementary statistics : a step by step approach

    • 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

  • Fuzzy, Rough and Intuitionistic Fuzzy Set Approaches for Data Handling: Theory and Applications

    • Authors: Tanmoy Som (2023)

  • This book provides various individual, soft computing, optimization and hybridization techniques of fuzzy and intuitionistic fuzzy sets with rough sets and their applications including data handling and that of type-2 fuzzy systems. Machine learning techniques are effectively implemented to solve a diversity of problems in pattern recognition, data mining and bioinformatics
  • Sách/Book

  • SilverComm : marketing practices and messages for the age of aging

    • Authors: Anne M. Cooper (2023)

  • The marketing world has long under-appreciated the buying power held by adults over 65 years of age. In the current age of longevity, it's essential that students engage with strategies that embrace all age groups. This text combines professional interviews, theory-based research, and practical exercises to supplement any strategic comm course