Problem-solving strategies for second order odes in odes pdes
Use this skill when working on second-order-odes problems in odes pdes.
Classify the ODE
Homogeneous with Constant Coefficients
sympy_compute.py solve "a*r**2 + b*r + c" --var rParticular Solution (Non-homogeneous)
sympy_compute.py dsolve "y'' + y = sin(x)"Numerical Solution
solve_ivp(system, [t0, tf], [y0, v0])Boundary Value Problems
scipy.integrate.solve_bvp(ode, bc, x, y_init)uv run python -c "from scipy.integrate import solve_ivp; sol = solve_ivp(lambda t, Y: [Y[1], -Y[0]], [0, 10], [1, 0]); print('y(10) =', sol.y[0][-1])"
uv run python -m runtime.harness scripts/sympy_compute.py solve "r**2 + r + 1" --var r
uv run python -m runtime.harness scripts/sympy_compute.py dsolve "Derivative(y,x,2) + y"
From indexed textbooks:
See .claude/skills/math-mode/SKILL.md for full tool documentation.