{
"item_title" : "Real Random Numbers",
"item_author" : [" N. C. Das", "Harshit Ranjan "],
"item_description" : "What You Will Discover Inside:Unlike dense, overly academic texts, this book takes a refreshingly practical route. It is short, simple, and completely free of tedious theorem-proving, relying instead on actionable algorithms and methodologies across five distinct frameworks:The TRIVAR Approximation: Reviving the author's pioneering 1983-84 research on Approximation Algorithms, backed by authoritative insights from Schneier (2010) and Agnew (1988).The By-Product of Error: Utilizing the filtering processes of Jazwinski, Ludeman, and Das & Das (2021) to extract pure RRNs from the magnitude of differences between observed data and fitted mathematical functions.Ancient Mathematics Meet Cryptography: Harnessing Bhaskaracharya's orthogonal trios alongside Diophantine Equations.Hilbert Space Multipliers: Employing a pair of conjugate complex roots as multipliers of random numbers at both the source and the sink.The Chaos of Nature: Demonstrating how RRNs can be derived from direct measurements of our vast world-featuring real-world data from the dimensions of money plant and betel leaves, to the unpredictable flood intensities of river flows.Who Is This Book For?Whether you are a cryptographer looking to challenge the status quo, a data scientist navigating uncertainty, or a strategic decision-maker looking for a competitive edge, this text provides a paradigm shift in how we view randomness, data filtering, and encryption. The journey to obtaining RRNs has been successful-but its ultimate impact lies in your hands. Read the methodologies, test the algorithms, and join the conversation.",
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Overview
What You Will Discover Inside:
Unlike dense, overly academic texts, this book takes a refreshingly practical route. It is short, simple, and completely free of tedious theorem-proving, relying instead on actionable algorithms and methodologies across five distinct frameworks:
- The TRIVAR Approximation: Reviving the author's pioneering 1983-84 research on Approximation Algorithms, backed by authoritative insights from Schneier (2010) and Agnew (1988).
- The By-Product of Error: Utilizing the filtering processes of Jazwinski, Ludeman, and Das & Das (2021) to extract pure RRNs from the magnitude of differences between observed data and fitted mathematical functions.
- Ancient Mathematics Meet Cryptography: Harnessing Bhaskaracharya's orthogonal trios alongside Diophantine Equations.
- Hilbert Space Multipliers: Employing a pair of conjugate complex roots as multipliers of random numbers at both the source and the sink.
- The Chaos of Nature: Demonstrating how RRNs can be derived from direct measurements of our vast world-featuring real-world data from the dimensions of money plant and betel leaves, to the unpredictable flood intensities of river flows.
Who Is This Book For?
Whether you are a cryptographer looking to challenge the status quo, a data scientist navigating uncertainty, or a strategic decision-maker looking for a competitive edge, this text provides a paradigm shift in how we view randomness, data filtering, and encryption. The journey to obtaining RRNs has been successful-but its ultimate impact lies in your hands. Read the methodologies, test the algorithms, and join the conversation.
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Details
- ISBN-13: 9789368080930
- ISBN-10: 9368080933
- Publisher: Shroff Publishers & Distributors Pvt. Ltd.
- Publish Date: June 2026
- Dimensions: 9.19 x 7 x 0.28 inches
- Shipping Weight: 0.48 pounds
- Page Count: 130
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