Numerical Diffrentiation newton forward and backward formula numericalmethods by sirshayan

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Numerical differentiation is a method for approximating the derivative of a function at a given point using numerical methods. When the interval is equal, it's called equal interval numerical differentiation. • Here are the formulas for equal interval numerical differentiation: • 1. Forward Difference: • f'(x) ≈ [f(x+h) - f(x)]/h • 1. Backward Difference: • f'(x) ≈ [f(x) - f(x-h)]/h • 1. Central Difference: • f'(x) ≈ [f(x+h) - f(x-h)]/(2h) • where: • f(x) is the function value at point x • h is the equal interval size • f'(x) is the approximate derivative at point x • These formulas estimate the derivative by calculating the slope of the secant line between two nearby points. • Note: • • NUMERICAL ANALYSIS • • FOURIER TRANSFORM (ENGINEERING MATHEM... • • class 11 Mathematics sindh board • • Probability || zero to Hero || • • special problems • • Laplace Transform #csirnet #gate comp... • Sir Shayan ❤️ social media links • Facebook: • https://www.facebook.com/share/vLNSkE... ( Mathematical Academy ♾️) • What's app contact no : • 03430238156 📞📲 • • Integration smashed ||@sirshayan|| • #numericalanalysis #numericalmethods

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