RESEARCH BASE

Search 3,721 documents across 34 fields — every claim tier-rated by evidence

3,721 Documents 34 Sections 43,625 Citations 34,852 Keywords Indexed 4 Evidence Tiers

3,633 are the core, quality-scored corpus (34 lettered sections — see How We Work); the remaining 88 are cross-corpus synthesis documents (68 InterDocs, 12 Connections, 8 Theories) also indexed here.

3,436 results for "Linear B" — page 162 of 172

V_1_18 Credible Mathematics & Information

V_1_18 — Ethnomathematics: Mathematics Across Cultures

Ethnomathematics — the study of mathematical ideas, methods, and practices developed by cultural groups outside the Western academic tradition — was formalized as a field by Ubiratan D'Ambrosio (Brazil, 1985), who argued

ethnomathematics indigenous-mathematics quipu ishango-bone sand-drawing sona
V_1_06 Verified Mathematics & Information

V_1_06 — Mathematics of Music: Harmonic Ratios & Tuning Systems

The relationship between mathematics and music is among the oldest in intellectual history. Pythagoras (c. 570–495 BCE) is traditionally credited with discovering that consonant musical intervals correspond to simple num

music theory mathematics Pythagorean tuning harmonic ratios equal temperament Fourier analysis
V_1_12 Verified Mathematics & Information

V_1_12 — Chinese Mathematics History

Chinese mathematics developed independently over at least 3,000 years, producing remarkable achievements often centuries before their European counterparts. The Jiuzhang Suanshu (Nine Chapters on the Mathematical Art, co

Chinese mathematics Nine Chapters rod calculus counting rods Liu Hui Zu Chongzhi
V_1_07 Verified Mathematics & Information

V_1_07 — Mathematical Astronomy: Ptolemy to Kepler

Mathematical astronomy — the use of mathematical models to predict celestial phenomena — is one of the oldest and most successful applications of mathematics. Babylonian astronomers (c. 1800–100 BCE) developed sophistica

mathematical astronomy Ptolemy Almagest Copernicus Kepler ellipse
V_4_13 Credible Mathematics & Information

V_4_13 — Mathematics of Voting: Arrow's Theorem, Fairness, and Electoral Systems

The mathematics of voting — a branch of social choice theory — applies rigorous mathematical analysis to the problem of aggregating individual preferences into collective decisions, revealing deep impossibility results t

voting theory social choice Arrow's theorem Condorcet paradox Gibbard-Satterthwaite electoral system
V_4_14 Credible Mathematics & Information

V_4_14 — Wavelets: Multi-Resolution Analysis and Signal Processing

Wavelets — localized, oscillating functions that can be scaled and shifted to analyze signals at multiple resolutions simultaneously — represent one of the most important mathematical developments of the late 20th centur

wavelet multi-resolution analysis wavelet transform Haar wavelet Daubechies wavelet signal processing
V_4_26 Verified Mathematics & Information

V_4_26 — Philosophy of Mathematics: Foundations, Reality, and Discovery vs. Invention

The philosophy of mathematics asks the deepest questions about the nature of mathematical objects: Do numbers, sets, and geometric forms exist independently of human minds (Platonism/realism), or are they human construct

philosophy of mathematics platonism formalism intuitionism logicism mathematical realism
V_4_05 Verified Mathematics & Information

V_4_05 — Origami Mathematics and Paper Folding

Origami — the art of paper folding — conceals a rich mathematical framework that has emerged as a serious branch of computational geometry with applications from space engineering to medical devices. The mathematics of o

origami paper folding Huzita-Hatori axioms flat foldability computational origami crease pattern
V_4_18 Verified Mathematics & Information

V_4_18 — Information Theory Cross-Discipline Bridge

Information theory, founded by Claude Shannon in 1948, provides a universal mathematical framework for quantifying uncertainty, communication capacity, and data compression. Its core concepts — entropy, mutual informatio

information theory Shannon entropy Kolmogorov complexity thermodynamic entropy holographic principle genetic code
V_4_28 Verified Mathematics & Information

V_4_28 — Game Theory: Strategic Decision-Making and Evolutionary Dynamics

Game theory — the mathematical study of strategic interaction among rational agents — was formalized by John von Neumann and Oskar Morgenstern in Theory of Games and Economic Behavior (1944) and transformed by John Nash'

game theory nash equilibrium prisoner's dilemma evolutionary game theory john von neumann john nash
V_4_00 Mathematics & Information

V_4_00 — Computational Modern: Subfolder Summary

V_4_17 Verified Mathematics & Information

V_4_17 — Quantum Computing Algorithms: From Shor's Factoring to Variational Quantum Eigensolvers

Quantum computing exploits the principles of quantum superposition, entanglement, and interference to perform computations that are intractable for classical computers. The field was conceptually launched by Richard Feyn

quantum computing quantum algorithm Shor's algorithm Grover's algorithm quantum error correction qubit
V_4_01 Verified Mathematics & Information

V_4_01 — Discrete Mathematics and Logic

Discrete mathematics — the study of mathematical structures that are countable, separated, or distinct (as opposed to continuous) — provides the theoretical bedrock for computer science, digital communication, and rigoro

discrete mathematics mathematical logic propositional logic predicate logic set theory Gödel incompleteness
V_4_19 Verified Mathematics & Information

V_4_19 — Machine Learning Mathematics: Neural Networks, Optimization, and Learning Theory

Machine learning mathematics — the theoretical foundations underlying the training, generalization, and behavior of learning algorithms — spans statistical learning theory, optimization, approximation theory, information

machine learning neural network deep learning gradient descent backpropagation transformer
V_4_16 Credible Mathematics & Information

V_4_16 — Mathematical Visualization: From Graphs to Virtual Reality

Mathematical visualization — the creation of visual representations of mathematical objects, relationships, and data — serves as both a tool for discovery and a medium for communication, transforming abstract mathematica

mathematical visualization data visualization graph theory fractal topology visualization geometric visualization
V_4_23 Verified Mathematics & Information

V_4_23 — Shannon Information Theory: Entropy, Communication, and the Mathematical Theory of Information

Claude Elwood Shannon (1916–2001) published "A Mathematical Theory of Communication" in the Bell System Technical Journal in July and October 1948, founding the field of information theory. Shannon defined information qu

claude shannon information theory entropy bit channel capacity coding theorem
V_4_15 Credible Mathematics & Information

V_4_15 — Formal Verification: Proving Programs Correct

Formal verification — the use of rigorous mathematical methods to prove that a software or hardware system satisfies its specification — aims to provide absolute correctness guarantees, going beyond testing (which can re

formal verification program correctness Hoare logic model checking theorem proving type theory
V_3_12 Verified Mathematics & Information

V_3_12 — Statistics and Hypothesis Testing

Statistics — the science of collecting, analyzing, and interpreting data under uncertainty — underpins virtually every empirical science, from medicine and psychology to physics and economics. Modern statistical hypothes

statistics hypothesis testing p-value significance confidence interval null hypothesis
V_3_08 Verified Mathematics & Information

V_3_08 — Fractal Geometry: Self-Similarity Across Scales

Fractal geometry, developed primarily by Benoit Mandelbrot (1975-1982), studies shapes with self-similar structure at multiple scales — coastlines, fern leaves, blood vessel networks, galaxy distributions, and financial

fractals fractal geometry self-similarity Mandelbrot set Julia sets fractal dimension
V_3_10 Verified Mathematics & Information

V_3_10 — Tensor Calculus and Differential Geometry: The Mathematics of Curved Spaces

Tensor calculus and differential geometry provide the mathematical language for describing curved spaces — from the geometry of Earth's surface to the curvature of spacetime in general relativity. Developed through the w

tensor calculus differential geometry manifolds Riemannian geometry curvature Riemann curvature tensor