Overview
Romasm's calculus library provides numerical differentiation and integration functions. All values use fixed-point scaling by 1000 (e.g., 5000 = 5.000).
Derivative Functions
derivative_x_squared
Calculates f'(x) = 2x for f(x) = x² using the central difference method.
| Input | Output |
|---|---|
| R0 = x (scaled by 1000) | R0 = 2x (scaled by 1000) |
; Calculate f'(5) = 2*5 = 10
LOAD R0, 5000 ; x = 5.000
CALL derivative_x_squared
PRINT R0 ; Outputs ~10000 (10.000)
derivative_x_cubed
Calculates f'(x) = 3x² for f(x) = x³.
| Input | Output |
|---|---|
| R0 = x (scaled by 1000) | R0 = 3x² (scaled by 1000) |
derivative_sin
Calculates the derivative of sin(x) where x is in degrees: d/dx sin(x) = cos(x) × (π/180).
derivative_cos
Calculates the derivative of cos(x): d/dx cos(x) = -sin(x) × (π/180).
derivative_exp
Calculates the derivative of e^x: d/dx e^x = e^x (the derivative of e^x is itself!).
derivative_ln
Calculates the derivative of ln(x): d/dx ln(x) = 1/x.
Integral Functions
integral_x_squared
Calculates the definite integral ∫[a,b] x² dx analytically using the formula: (b³ - a³) / 3
| Input | Output |
|---|---|
| R0 = a (lower bound, scaled) R1 = b (upper bound, scaled) |
R0 = ∫[a,b] x² dx (scaled by 1000) |
; Calculate ∫[0,5] x² dx = 125/3 ≈ 41.667
LOAD R0, 0 ; a = 0
LOAD R1, 5000 ; b = 5.000
CALL integral_x_squared
PRINT R0 ; Outputs ~41667 (41.667)
integral_trapezoidal_x_squared
Numerical integration using the trapezoidal rule (more accurate than rectangular rule).
Input: R0 = a, R1 = b, R2 = Δx (all scaled by 1000)
integral_simpson_x_squared
Numerical integration using Simpson's rule (most accurate).
Input: R0 = a, R1 = b, R2 = Δx (all scaled by 1000)
integral_sin
Definite integral of sin(x) from a to b (x in degrees).
integral_cos
Definite integral of cos(x) from a to b (x in degrees).
integral_exp
Definite integral of e^x: ∫[a,b] e^x dx = e^b - e^a
integral_ln
Definite integral of 1/x: ∫[a,b] 1/x dx = ln(b) - ln(a)
Numerical Methods
Romasm uses several numerical methods for calculus operations:
Central Difference (Derivatives)
f'(x) ≈ (f(x+h) - f(x-h)) / (2h)
More accurate than forward difference, uses values on both sides of x.
Rectangular Rule (Integration)
∫[a,b] f(x) dx ≈ Σ f(x_i) × Δx
Simplest method, approximates area as rectangles.
Trapezoidal Rule (Integration)
More accurate than rectangular rule, uses trapezoids instead of rectangles.
Simpson's Rule (Integration)
Most accurate numerical integration method, uses parabolic approximations.
Related Documentation
- Basic Math Functions - Fundamental operations
- Trigonometric Functions - sin, cos
- Advanced Math - exp, ln