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43 results for "Cook-Levin theorem" — page 2 of 3

ZA_5_05 Verified Physics & Quantum

ZA_5_05 — Quantum Error Correction: Protecting Quantum Information from Decoherence

Quantum error correction (QEC) — the encoding of quantum information across multiple physical qubits to protect it from decoherence and operational errors — is widely regarded as the critical enabling technology for larg

quantum error correction QEC qubit decoherence surface code logical qubit
ZA_3_04 Physics & Quantum

ZA_3_04 — Antimatter: CP Violation and the Matter-Antimatter Asymmetry

For every fundamental particle there exists an antiparticle with identical mass but opposite charge. When matter and antimatter meet, they annihilate into pure energy. Dirac's 1928 equation predicted antimatter's existen

antimatter CP violation baryogenesis baryon asymmetry matter-antimatter Dirac equation
V_1_12 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_4_05 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_03 Mathematics & Information

V_4_03 — Geometric Probability and Buffon's Needle

Geometric probability assigns probabilities to random geometric events — needle drops, random points in regions, random lines intersecting figures — formalizing questions that blend chance with spatial structure. Buffon'

geometric probability Buffon needle Bertrand paradox integral geometry stochastic geometry random convex sets
V_4_02 Mathematics & Information

V_4_02 — Mathematical Economics

Mathematical economics applies formal mathematical methods — optimization, fixed-point theorems, measure theory, stochastic processes, and game theory — to model economic phenomena with the rigor of a mathematical scienc

mathematical economics game theory Nash equilibrium general equilibrium Arrow-Debreu welfare theorems
V_4_27 Verified Mathematics & Information

V_4_27 — Bayesian Inference: Probabilistic Reasoning from Bayes to Machine Learning

Bayesian inference — the mathematical framework for updating beliefs in light of evidence — has become the dominant paradigm in statistics, machine learning, cognitive science, and philosophy of science. Named after Reve

bayesian inference bayes theorem probability prior posterior machine learning
V_4_25 Verified Mathematics & Information

V_4_25 — Bayesian Inference: Probability as Rational Belief Updating

Bayesian inference — the mathematical framework for updating beliefs in light of evidence using Bayes' theorem — has become one of the most powerful and contested ideas in modern science. Named after Reverend Thomas Baye

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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_05 Mathematics & Information

V_3_05 — Linear Algebra: Matrices, Vectors, and Transformations

Linear algebra is arguably the most practically important branch of mathematics, underpinning quantum mechanics, machine learning, computer graphics, engineering, statistics, and nearly every computational science. It st

linear algebra matrices vectors vector spaces eigenvalues eigenvectors
V_3_21 Verified Mathematics & Information

V_3_21 — Bayesian Statistics Revolution

Bayesian statistics — the framework for updating probability estimates as new evidence is acquired, grounded in Bayes' theorem — has undergone a dramatic resurgence since the late 20th century, transforming from a margin

Bayesian statistics Bayes theorem prior probability posterior Thomas Bayes Laplace
V_3_09 Mathematics & Information

V_3_09 — Fourier Analysis: Signal Processing and the Mathematics of Frequency

Fourier analysis — the decomposition of functions into constituent sinusoidal waves — is one of the most transformative mathematical ideas in science and engineering. Joseph Fourier's 1822 insight that any periodic funct

Fourier analysis Fourier series Fourier transform FFT fast Fourier transform spectral analysis
V_2_16 Mathematics & Information

V_2_16 — Analytic Number Theory

Analytic number theory applies the methods of mathematical analysis — complex analysis, Fourier analysis, probability, and asymptotic estimation — to study the distribution and properties of integers, especially prime nu

analytic number theory Riemann zeta function prime number theorem Dirichlet series L-functions Riemann hypothesis
V_2_09 Mathematics & Information

V_2_09 — Number Theory: Primes, Patterns, and Unsolved Problems

Number theory — the study of integers and their properties — is one of the oldest and most beautiful branches of mathematics, yet it connects to cryptography, physics, and computer science in profound ways. Prime numbers

number theory prime numbers prime distribution Riemann hypothesis Riemann zeta function twin primes
V_2_13 Mathematics & Information

V_2_13 — Measure Theory and Integration

Measure theory provides the rigorous mathematical foundation for the concepts of length, area, volume, and probability — and the integration theory built upon them. Developed primarily by Henri Lebesgue (1902), it resolv

measure theory Lebesgue measure sigma algebra Borel set measurable function Lebesgue integral
V_2_15 Mathematics & Information

V_2_15 — Galois Theory and Field Extensions

Galois theory, developed by Évariste Galois (1811-1832) in the last years of his tragically short life, is one of the great triumphs of abstract algebra — a theory connecting field extensions to group theory that definit

Galois theory field extension polynomial roots solvability by radicals quintic equation group theory
V_2_01 Mathematics & Information

V_2_01 — Prime Numbers — Patterns, Mysteries, and the Riemann Hypothesis

Prime numbers — integers greater than 1 divisible only by 1 and themselves — have fascinated mathematicians since Euclid proved their infinitude (~300 BCE). Despite appearing randomly distributed, primes follow deep stat

prime numbers Riemann hypothesis zeta function Euclid RSA cryptography twin primes
V_2_11 Mathematics & Information

V_2_11 — Abstract Algebra: Groups, Rings, and Fields

Abstract algebra is the study of algebraic structures — sets equipped with operations satisfying specific axioms — that generalize familiar arithmetic operations to reveal deep structural patterns across mathematics and

abstract algebra group theory ring theory field theory symmetry Galois theory
V_2_05 Mathematics & Information

V_2_05 — Calculus & Infinitesimals: Newton, Leibniz & the Kerala School

Calculus — the mathematics of continuous change — is arguably the most powerful intellectual tool ever created, enabling the scientific revolution, modern physics, engineering, economics, and computation.

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