For Optimization: Algorithms in Scilab helps the end user for Simulation to solve constrained and unconstrained continuous and discrete problems. Applications include, but are not limited to, nonlinear optimization, genetic algorithms, simulated annealing and quadratic optimization.See more
For Signal Processing: Scilab helps you visualise, analyse and filter signals in time and frequency domains. Some of the capabilities include, but are not limited to, signal generation, power spectral density estimation, digital FIR and IIR filter design and signal transforms.
For Signal Processing: Scilab helps you visualise, analyse and filter signals in time and frequency domains. Some of the capabilities include, but are not limited to, signal generation, power spectral density estimation, digital FIR and IIR filter design and signal transforms.
