NETZ Algorithms Explorer

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Unit 1: Roots of Equations

Newton-Raphson Method

Finds real roots of f(x) = 0 using symbolic derivatives and quadratic convergence.

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Unit 1: Roots of Equations

Bisection Method

Finds root in interval [a, b] where f(a) and f(b) have opposite signs.

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Unit 1: Roots of Equations

Regula Falsi (False Position)

Secant line interpolation method to find roots within interval [a, b].

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Unit 1: Roots of Equations

Fixed Point Iteration

Solves x = g(x) iteratively starting from initial guess x0.

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Unit 2: Interpolation

Newton's Forward Interpolation

Equal interval interpolation formula using forward difference table Δy for target X near table start.

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Unit 2: Interpolation

Newton's Backward Interpolation

Equal interval backward difference formula using ∇y for target X near table end.

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Unit 2: Interpolation

Lagrange's Interpolation Formula

Unequal interval polynomial interpolation formula for arbitrary (x_i, y_i) data points.

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Unit 2: Interpolation

Newton's Divided Difference

Unequal interval divided difference interpolation for arbitrary tabulated points.

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Unit 3: Numerical Integration

Trapezoidal Integration Rule

Approximates definite integral ∫[a,b] f(x) dx using N trapezoidal subintervals.

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Unit 3: Numerical Integration

Simpson's 1/3 Integration Rule

Quadratic parabolic interpolation for integration over even N subintervals.

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Unit 3: Numerical Integration

Simpson's 3/8 Integration Rule

Cubic interpolation for numerical integration where subintervals N is a multiple of 3.

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Unit 4: Differential Equations

Euler's ODE Method

Solves first order ODE dy/dx = f(x, y) starting at (x0, y0) with step size h.

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Unit 4: Differential Equations

Runge-Kutta 4th Order (RK4)

High accuracy 4th order numerical solution for initial value differential equation dy/dx = f(x, y).

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Unit 5: Hypothesis Testing

Z-Test (Testing of Significance)

Tests mean difference for large samples (N ≥ 30) with population standard deviation σ.

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Unit 5: Hypothesis Testing

Student t-Test (Single Mean)

Tests mean difference for small samples (N < 30) where population standard deviation is unknown.

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Unit 5: Hypothesis Testing

Chi-Square Test (χ²)

Tests goodness of fit between observed frequencies O_i and expected frequencies E_i.

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