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Foundations of Modern Science | Academic Publishers
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Foundations of Modern Science
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Foundations of Modern Science

By Dr. Priya Verma
₹450.00 ₹599.00 In Stock - Ready to Ship

A comprehensive guide to the underlying principles of modern computational science, designed for postgraduate students and researchers. This book bridges the gap between theoretical algorithms and practical data science applications.

  • ISBN-13 978-93-5489-123-4
  • Publisher Academic Publishers India
  • Publication Date October 15, 2024
  • Format Paperback, 420 pages
  • Language English
  • Edition 2nd Edition
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Foundations of Modern Science and Computational Theory is an essential text that introduces the core concepts of algorithms, data structures, and computational complexity in a clear, accessible manner. Written by Dr. Amit Sharma, a leading voice in AI research, this book provides a robust framework for understanding how theoretical computer science applies to modern machine learning and data analytics.

Who is this book for?

  • Postgraduate and advanced undergraduate students in Computer Science.
  • Researchers looking for a comprehensive refresher on algorithmic theory.
  • Software engineers transitioning into data science and AI roles.

The second edition has been thoroughly revised to include new chapters on quantum computing fundamentals and ethical considerations in algorithmic design. The book emphasizes problem-solving techniques and rigorous mathematical proofs, ensuring that readers build a strong foundational knowledge that will not become obsolete as technologies change.

Key Features

  • Over 150 solved examples and detailed case studies.
  • End-of-chapter exercises with varying difficulty levels to test comprehension.
  • New section dedicated to the carbon footprint of training large language models.
  • Companion website with downloadable code snippets in Python and C++.

Table of Contents

Full PDF Index
  • Preface & Acknowledgments ix
  • Chapter 1: Introduction to Computational Models 1
  • Chapter 2: Asymptotic Notation and Complexity 34
  • Chapter 3: Advanced Data Structures 82