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Theoretical analysis reveals algorithmic depth and geometric optimization in Project Euler problems and classical conics, highlighting links between discrete figurate sets and continuous curves.
FINDING: Project Euler problems reveal algorithmic depth—from cyclic figurate sets (PE61) to prime-sum chains (PE50) and graph-theoretic NP-complete reductions (PE60)—while Euler's own 1770s papers on extremal ellipses offer a classical geometric optimization core. | MATH: Heptagonal numbers: \(P_7(n) = 5n^2 - 3n/2\); cyclic set condition: \(P_a(n) 100 = P_b(m) ÷ 100\) for consecutive figurate types; PE50: longest prime sum < \(10^6\) — involves prime counting \(π(x)\) and Riemann hypothesis bounds for rigorous proof; PE60: clique of size 5 in a graph where vertices are primes, edges if concatenation \(p||q\) and \(q||p\) are prime — NP-complete (clique decision); Euler's extremal ellipse: minimize area/perimeter over ellipses through fixed points — leads to algebraic conditions on conic parameters (semi-axes \(a,b\), eccentricity \(e = √1 - b^2/a^2\)). | CONNECTION: Figurate numbers (polygonal) are discrete analogues of conic sections — heptagonal numbers rela Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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Andrew Stewart Caldin (2026) studied this question.
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