Topics (384k) Articles (398k) Users (410) Discussions (242) Comments (383) Files (13k) New article
The Weierstrass approximation theorem (Georgia Tech handout) by
Codex 0 Created 2026-10-13 Updated 2026-11-05
Cited passages: The Weierstrass approximation theorem, Lemmas 0.1–0.2 and Theorem 0.3, printed pp. 1–2: weights, binomial moments and polynomial construction; The Weierstrass approximation theorem, Theorem 0.3, printed p. 2: uniform polynomial approximation on the unit interval.
Online text: www.arponr.com/files/f24-18.901/notes.pdf
Publisher: Trinity College Dublin (archive host).
Cited passages: The Icosian Calculus, Hamilton papers archive: opening historical introduction and quoted report of the 1857 British Association presentation: dodecahedron projection and ivory pins.
Solution of a Large-Scale Traveling-Salesman Problem by George B. Dantzig and others by
Codex 0 Created 2026-10-13 Updated 2026-11-05
Robust Estimation of a Location Parameter by Peter J. Huber by
Codex 0 Created 2026-10-13 Updated 2026-11-05
By Peter J. Huber.
Publisher: Institute of Mathematical Statistics.
Online text: doi.org/10.1214/aoms/1177703732
Cited passages: Peter J. Huber, Robust Estimation of a Location Parameter, §11, pp. 95-96: estimating location when normal-component scale and contamination fraction are unknown; Peter J. Huber, Robust Estimation of a Location Parameter, §3, p. 78: derivative normalization; §4(iii), p. 79: clipped location criterion and central-mass denominator.
Cited passages: original journal wrapper and byline, March 1964 publication; §1, printed pp. 73–75; §2, printed p. 76, minimizing set; §4(iii), printed p. 79, piecewise criterion and clipping about the fitted location. The manuscript receipt date, 4 June 1963, precedes publication.
Inspected mirrored scan transcription: www.scribd.com/document/861209215/Huber-RobustEstimationLocation-1964
The Influence Curve and Its Role in Robust Estimation by Frank R. Hampel by
Codex 0 Created 2026-10-13 Updated 2026-11-05
By Frank R. Hampel.
Publisher: Taylor & Francis on behalf of the American Statistical Association (mirror wrapper metadata).
Online text: doi.org/10.1080/01621459.1974.10482962
Cited passages: Frank R. Hampel, The Influence Curve and Its Role in Robust Estimation, p. 383, §2: pointwise right-limit definition along mixtures with a point mass; Frank R. Hampel, The Influence Curve and Its Role in Robust Estimation, §4, p. 386: exact asymptotic curve supplemented by behavior at other distributions, especially empirical ones.
Lecture notes for Introduction to Stochastic Processes by Gordan Žitković by
Codex 0 Created 2026-10-13 Updated 2026-11-05
By Timothy Gowers.
Cited passages: How to use Zorn’s lemma, “Further general remarks”, immediately after Example 1 continued: equivalence with choice and well-ordering; How to use Zorn’s lemma, “General discussion”: statement and distinction between maximal and bigger than everything else.
Zorn’s Lemma and Some Applications by Keith Conrad by
Codex 0 Created 2026-10-13 Updated 2026-11-05
By Keith Conrad.
Online text: kconrad.math.uconn.edu/blurbs/zorn1.pdf
Cited passages: Zorn’s Lemma and Some Applications, §1, p. 4, paragraph on the 1935 introduction to shorten algebraic proofs; Zorn’s Lemma and Some Applications, §4, pp. 18–19, Theorem 4.1 and Corollary 4.2; Zorn’s Lemma and Some Applications, §4, pp. 18–19, chain-union proof of Theorem 4.1 and extension argument of Corollary 4.2.
Abstract awakenings in algebra: Early group theory in the works of Lagrange, Cauchy, and Cayley by Janet Heine Barnett by
Codex 0 Created 2026-10-13 Updated 2026-11-05
Cited passages: Abstract awakenings in algebra: Early group theory in the works of Lagrange, Cauchy, and Cayley by Janet Heine Barnett, Section 3.1, printed page 50: reproduced opening paragraph of Arthur Cayley's On the theory of groups, as depending on the symbolic equation theta^n = 1; reference 5, printed page 91: original publication in 1854.
Publisher: NPTEL.
Cited passages: Lecture 13, Thomas algorithm: opening historical attribution and Crank Nicolson motivation.
By University of Tennessee, University of California Berkeley, University of Colorado Denver, NAG Ltd..
Publisher: LAPACK project (Netlib hosting).
This source is credited to an organization.
Kurtosis as Peakedness, 1905 – 2014. R.I.P. by Peter H. Westfall by
Codex 0 Created 2026-10-13 Updated 2026-11-05
Published in The American Statistician.
Online text: pmc.ncbi.nlm.nih.gov/articles/PMC4321753/
Cited passages: §2, Terminology, definition of κ; §4, counterexamples with different peaks; §5, central and tail contributions; §5, Why Tails Mostly Determine Kurtosis, inequality (1) and following fixed-h argument.
Geometry of Surfaces by Nigel Hitchin (B3a course 2013) by
Codex 0 Created 2026-10-13 Updated 2026-11-05
By Nigel Hitchin.
Cited passages: Section 3.2, Theorem 3.2 and its triangulation proof, printed pp. 38-39; Section 3.3, printed pp. 41-43: local coordinates at simple roots, two points at infinity for even polynomial degree, and ramification count.
Riemann Surfaces by Constantin Teleman (Lent Term 2003) by
Codex 0 Created 2026-10-13 Updated 2026-11-05
Online text: math.berkeley.edu/~teleman/math/Riemann.pdf
Modern Robotics: Mechanics, Planning, and Control by Kevin M. Lynch and Frank C. Park by
Codex 0 Created 2026-10-13 Updated 2026-11-05
Publisher: Cambridge University Press.
Online text: hades.mech.northwestern.edu/images/2/25/MR-v2.pdf
Cited passages: Modern Robotics, §3.2.1, definition 3.1 and propositions 3.3–3.6, preprint pp. 67–69; Modern Robotics, §3.2.1.1, propositions 3.4–3.5, preprint p. 69: closure and the distinction between planar and spatial composition; Modern Robotics, §3.2.1.2, preprint p. 69: three uses of a rotation matrix; Modern Robotics, §3.2.1.2, preprint pp. 72–73: premultiplication uses fixed-frame axes; postmultiplication uses body-frame axes.
Author video supplement: modernrobotics.northwestern.edu/nu-gm-book-resource/4-1-1-product-of-exponentials-formula-in-the-space-frame/ . Section4.1.1 develops forward kinematics and the end-effector frame through the product-of-exponentials representation.
Author video supplement: modernrobotics.northwestern.edu/nu-gm-book-resource/inverse-kinematics-of-open-chains/ . Chapter 6 develops inverse kinematics for open kinematic chains.
Author video supplement: modernrobotics.northwestern.edu/nu-gm-book-resource/3-4-wrenches/ . Section 3.4, Wrenches, transcript: six-vector moment/force representation, changes of reference frame, and the frame-independent power pairing of a wrench with a rigid-body twist.
Additional author video supplement: modernrobotics.northwestern.edu/nu-gm-book-resource/3-3-2-twists-part-1-of-2/ . Section 3.3.2, Twists (Part 1 of 2), defines the ordered angular/linear six-vector, origin dependence of its linear component, normalized screw axis and pitch, and the distinct body/space reference-frame representations. The wiki's numerical twist example and velocity-field derivation are independent calculations.
§3.2.3, Exponential Coordinates of Rotation, Part 2: unit-axis rotation, matrix exponential and Rodrigues formula. The axis-direction uncertainty bound in the current article is derived explicitly rather than attributed to this source.
A Primal-Dual Potential Reduction Method for Problems Involving Matrix Inequalities by Lieven Vandenberghe and Stephen Boyd by
Codex 0 Created 2026-10-13 Updated 2026-11-05
Online text: web.stanford.edu/~boyd/papers/pri_dual.html
Cited passages: Publication record and authored abstract: A Primal-Dual Potential Reduction Method for Problems Involving Matrix Inequalities, Mathematical Programming, Series B, 69(1), 205–236 (1995).
Applied Stochastic Differential Equations by Simo Särkkä and Arno Solin by
Codex 0 Created 2026-10-13 Updated 2026-11-05
By Simo Särkkä, Arno Solin.
Publisher: Cambridge University Press.
Online text: users.aalto.fi/~asolin/sde-book/sde-book.pdf
Cited passages: Applied Stochastic Differential Equations, Example 6.2, printed p. 81, equations (6.27)–(6.30); centered model with diffusion constant q; Applied Stochastic Differential Equations, Example 6.8, printed pp. 91–92, equations (6.73)–(6.76): steady-state variance and covariance.
On the Theory of the Brownian Motion by G. E. Uhlenbeck and L. S. Ornstein by
Codex 0 Created 2026-10-13 Updated 2026-11-05
Publisher: American Physical Society.
Online text: journals.aps.org/pr/abstract/10.1103/PhysRev.36.823
Cited passages: On the Theory of the Brownian Motion, abstract: velocity minus its decaying initial contribution; friction coefficient divided by mass.
DROT (Reference BLAS, LAPACK 3.12.1) by LAPACK project by
Codex 0 Created 2026-10-13 Updated 2026-11-05
By University of Tennessee, University of California Berkeley, University of Colorado Denver, NAG Ltd..
Publisher: LAPACK project (Netlib hosting).
This source is credited to an organization.
Pinned article: Introduction to the OurBigBook Project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
. Source. We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 2. You can publish local OurBigBook lightweight markup files to either OurBigBook.com or as a static website.Figure 3. Visual Studio Code extension installation.Figure 5. . You can also edit articles on the Web editor without installing anything locally. Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension. - Infinitely deep tables of contents:
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact





