Scientific Computing with SciPy Constants and Curve Fitting

Related lectures (29)

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Discusses the bisection method for solving nonlinear equations and its implementation using Python with NumPy and Matplotlib.

Covers root-finding methods, focusing on the bisection and secant techniques, their implementations, and comparisons of their convergence rates.

Covers the convergence of Newton's method and its applications in numerical analysis.

Introduces the bisection method for resolving nonlinear equations using numerical techniques and Python programming.

Covers the Bisection Method and Newton Method for solving nonlinear equations using interval splitting and tangent lines.

Discusses numerical methods, focusing on stopping criteria, SciPy for optimization, and data visualization with Matplotlib.

Covers numerical methods for finding roots, including secant, Newton, and fixed point iteration techniques.

Covers the bisection method for finding zeros of continuous functions through iterative narrowing of intervals.

Discusses the Taylor series and secant method, focusing on their applications in numerical analysis and root-finding techniques.

Covers the implementation of numerical methods in MATLAB for solving chemical problems.