Introduction to Scientific Computation : A First Course for Physics, Mathematics and Engineering Majors (330 Pages) by J David Brown

Author:J David Brown
Format: pdf
Tags: Python, Programming, Scientific Computation, Computational Science, Computational Physics, Scientific Programming, Jupyter Notebooks, Numpy, Arrays, Symbolic Computation, Numerical Methods, Differential Equations, Ordinary Differential Equations, Partial Differential Equations, Initial Value Problems, Boundary Value Problems, Root Finding, Curve Fitting, Least Squares Method, Data Fitting, Interpolation, Cubic Splines, Bilinear Interpolation, Trapezoidal Rule, Simpson's Rule, Monte Carlo Integration, Multidimensional Integration, Euler's Method, Runge–Kutta Methods, Finite Difference Methods, Truncation Error, Convergence Testing, Linear Algebra, Matrix Computation, Linear Systems, Eigenvalues and Eigenvectors, Normal Mode Analysis, Kirchoff's Laws, Static Equilibrium, Cellular Automata, Discrete Systems, Chaotic Dynamics, Driven Damped Pendulum, Period Doubling, Chaos Theory, Relaxation Methods, Gauss–Seidel Method, Jacobi Method, Euler–Bernoulli Beam Theory, Wave Equation, Method of Lines, Lax–Friedrichs Method, Numerical Stability, Fourier Series, Discrete Fourier Transform, Fast Fourier Transform, Nyquist Frequency, Aliasing, Computational Modeling, Visualization, Interactive Computing, Undergraduate Textbook, Applied Mathematics, STEM Education, Physics Education
Published: 2025-09-08T09:48:24+00:00


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