Knowledge Graph

Interactive visualization of connections between career, projects, algorithms, and theory. Hover over nodes to highlight relationships.


Books

Favorite technical books studied throughout career.

  1. Statistics for Experimenters (Box, Hunter, Hunter) — Design of experiments, hypothesis testing, confidence intervals
  2. Probabilistic Safety Assessment in the Chemical and Nuclear Industries (Fullwood) — Safety analysis for chemical and nuclear industries
  3. AI Game Programming Wisdom (4 volumes) — Game AI algorithms and techniques
  4. Linear Algebra (Hefferon) — Free textbook, worked through completely in 77-neurons with detailed notes
  5. Book of Proof (Hammack) — Introduction to mathematical proof techniques
  6. Linear Algebra Done Right (Axler) — Abstract approach to linear algebra, memo notes
  7. Mathematical Thought from Ancient to Modern Times (Morris Kline) — History of mathematics, notes
  8. Euclid's Elements (Heath translation) — Classical foundations of geometry, notes
  9. The Calculus Lifesaver (Banner) — Worked through in 77-neurons weeks 1-20
  10. The Symmetric Eigenvalue Problem (Parlett) — Numerical linear algebra, notes
  11. Set Theory and its Philosophy (Potter) — Foundations of mathematics, notes
  12. Reason's Nearest Kin (Potter) — Philosophy of mathematics, notes
  13. The Liar: An Essay on Truth and Circularity (Barwise & Etchemendy) — Logic and paradoxes, notes
  14. Basic Concepts of Mathematics (Zakon) — Foundations, notes
  15. Concepts of Force (Jammer) — History and philosophy of physics, notes
  16. A History of the Theories of Aether and Electricity (Whittaker) — Classical physics history, notes
  17. There's Something about Godel (Berto) — Incompleteness theorem, notes 1, notes 2
  18. Mathematical Logic (Chiswell & Hodges) — First-order logic, handwritten notes
  19. Reforming the Mathematical Language of Physics (Hestenes) — Geometric algebra for physics, notes
  20. Euler's Writings — Primary sources, notes

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