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Root-finding algorithms, numerical integration, ODE solvers, interpolation, and iterative methods implemented and validated in MATLAB.
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FFT analysis, digital filter design, convolution, spectral estimation, and time-frequency analysis using MATLAB DSP tools.
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Block diagram construction, dynamic system simulation, subsystem design, solver configuration, and scope output validation in Simulink.
Descriptive statistics, probability distributions, hypothesis testing, regression modeling, and data visualization in MATLAB.
Linear and nonlinear programming, constrained optimization using fmincon, genetic algorithms, and engineering design optimization tasks.
Feedforward and convolutional network design, training, evaluation, and transfer learning applications using MATLAB's Deep Learning Toolbox.
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| Command Purpose | |
|---|---|
| path | Displays search path. |
| pwd | Displays current directory. |
| save | Saves workspace variables in a file. |
| type | Displays contents of a file. |
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