Top Mathematics discussions

NishMath

A-Maths@Maths on Medium - 60d
A series of Medium articles offer accessible explanations of diverse mathematical concepts and their real-world applications. Topics covered include solving various types of equations, from basic algebraic problems to more advanced exponential equations relevant to data science. One article provides a step-by-step guide to understanding and solving equations, emphasizing the importance of this skill across numerous fields like finance and programming. Another article tackles the frequency illusion, also known as the Baader-Meinhof phenomenon, explaining the cognitive bias behind why we notice things more frequently after becoming newly aware of them.

Furthermore, the collection explores the significant relationship between mathematics and coding, illustrating how mathematical principles underpin fundamental concepts in computer science such as algorithms, data structures, and computational complexity. The articles also include practical applications, like using exponential equations in data science and demonstrating the use of linear regression in predictive analytics. A selection of math puzzles with answers is also provided, offering engaging challenges for readers to test and hone their problem-solving skills.

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References :
  • Maths on Medium: This Medium article provides a comprehensive guide to understanding and solving mathematical equations.
  • matt-connors.medium.com: This Medium post explains how to understand and solve equations.
  • rossiangela.medium.com: What Your Math Tutor Isn’t Telling You (A Comprehensive Exposé of Mathematical Deception)
  • medium.com: An article about eigenvectors and eigenvalues for data science.
  • Maths on Medium: An article on Medium about an AI tool called AI Math Master which aims to simplify solving mathematical problems.
  • medium.com: AI Math Master: Your Ultimate Tool for Effortless Math Problem Solving
  • medium.com: Article describing how to solve systems of linear equations using LU decomposition.
  • Statistics on Medium: This Medium article discusses the integral of a normal distribution.
  • Maths on Medium: This Medium post teaches math using C++ coding examples, focusing on arithmetic numbers.
  • Statistics on Medium: An article about mastering mathematics for data science interviews.
  • medium.com: Medium article on solving the equation 5^x + 25^x = 125^x.
  • medium.com: An article providing a complete guide to descriptive statistics.
  • medium.com: An article on statistics for data scientists.
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@mathoverflow.net - 24d
Recent research has focused on the Boppana entropy inequality, a mathematical relationship that connects the entropy of a squared variable, denoted as H(x²), to the entropy of the variable itself, H(x). This inequality, expressed as H(x²) ≥ φxH(x), where φ is the golden ratio (approximately 1.618), has gained attention for its surprising tightness. Specifically, the maximum error between the two sides of the inequality is less than 2% for large values of x within the range [0,1] and even lower for small values of x.

The Boppana inequality’s significance also extends to coding theory, where it can be rephrased as a statement about the possibility of compressing data with different biases. Some experts have expressed hope for an intuitive information-theoretic or combinatorial proof of this inequality. Furthermore, explorations into the function G(x²)=bxG(x) have shown a connection between the Boppana inequality and the function Ĥ(x), which was found to have surprising symmetry around x = ½.

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