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cccskills

'finite difference' 검색 결과

5건 · 관련도순

Solve partial differential equations — finite differences, spectral methods, and physics-informed neural networks (PINNs via DeepXDE). Supports 1D/2D/3D, steady/transient, linear/nonlinear PDEs with Dirichlet, Neumann, and periodic boundary conditions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

huang-sh/DeepScience42026년 7월 15일 업데이트

Expert-level numerical methods knowledge. Use when working with root finding, numerical integration, numerical differentiation, interpolation, numerical linear algebra, ODEs, PDEs, or optimization algorithms. Also use when the user mentions 'Newton method', 'bisection', 'Runge-Kutta', 'finite difference', 'finite element', 'interpolation', 'numerical integration', 'quadrature', 'iterative solvers', 'condition number', 'round-off error', or 'truncation error'.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

luokai0/ai-agent-skills-by-luo-kai132026년 5월 6일 업데이트

Implement a WebGL transition where a ragged ember edge burns away the old page and reveals the next scene in motion. The skill covers glowing embers, porous char, rendering optimizations, transition timing, and reduced-motion behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Switch chapters with a burning-paper reveal
  • Reveal an animated scene behind a moving ember edge
  • Adjust burn direction and duration for page content
MengTo/Skills6.9천2026년 10월 18일 업데이트

Conjecture generation, sequence analysis, and experimental mathematics for mathematical discovery. Covers sequence analysis (OEIS lookups, recurrence relations, generating functions), pattern detection methods (finite differences, ratio analysis, modular patterns), conjecture generation workflow, classical integer sequences (Fibonacci, Catalan, partition numbers, Bernoulli numbers), combinatorial identities, the probabilistic method (Erdos, expected value arguments, Lovasz Local Lemma), AI-assisted discovery (FunSearch, Ramanujan Machine), and confidence calibration with cautionary tales (Mertens conjecture, Polya conjecture). Use when discovering patterns, analyzing sequences, generating conjectures, or working with combinatorial identities.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Tibsfox/gsd-skill-creator712026년 7월 20일 업데이트

Computational fluid dynamics — Navier-Stokes solvers, lid-driven cavity, channel flow, vortex methods, turbulence statistics, drag/lift computation. Spectral and finite-difference methods for incompressible and compressible flows.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

huang-sh/DeepScience42026년 7월 15일 업데이트