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Results 1361-1370 of 1488 (Search time: 0.139 seconds).
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  • Sách/Book

  • Financial Mathematics : Exercises and Solutions

    • Authors: Peter Brusov (2025)

  • This textbook is designed to facilitate a thorough learning for students of financial mathematics. It includes exercises and theoretical questions across seven chapters: Interest Theory, Financial Flows and Annuities, Profitability and Risk of Financial Operations, Portfolio Analysis, Bonds, Modigliani-Miller Theory, and Brusov-Filatova-Orekhova Theory.
  • Sách/Book

  • Exploring linear algebra : labs and projects with mathematica

    • Authors: Crista Arangala (2025)

  • This text focuses on the primary topics in a first course in Linear Algebra. The author includes additional advanced topics related to data analysis, singular value decomposition and connections to differential equations
  • Sách/Book

  • Wellness management powered by AI technologies

    • Authors: Bharat Bhushan (2025)

  • This book is an essential resource on the impact of AI in medical systems, helping readers stay ahead in the modern era with cutting-edge solutions, knowledge, and real-world case studies. Wellness Management Powered by AI Technologies explores the intricate ways machine learning and the Internet of Things (IoT) have been woven into the fabric of healthcare solutions.
  • Sách/Book

  • Math for programming : learn the math, write better code

    • Authors: Ronald T. Kneusel (2024)

  • In Math for Programming, you’ll master the essential mathematics that will take you from basic coding to serious software development. You’ll discover how vectors and matrices give you the power to handle complex data, how calculus drives optimization and machine learning, and how graph theory leads to advanced search algorithms
  • Sách/Book

  • A beginner's guide to mathematical proof

    • Authors: Mark J. DeBonis. (2025)

  • A Beginner's Guide to Mathematical Proof prepares mathematics majors for the transition to abstract mathematics, as well as introducing a wider readership of quantitative science students, such as engineers, to the mathematical structures underlying more applied topics