Implementing and testing features of stdlib
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This project extends the stdlib library by implementing and testing numerical methods for differentiation and integration, including forward/backward difference methods and trapezoidal/Simpson's rule. It provides both console-based demonstrations and a web visualization interface to compare the performance of these numerical methods against exact solutions. The project is designed for developers and students interested in numerical analysis who want to understand the capabilities of stdlib and explore additional numerical methods implementations.
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Support the dependencies of sahilk45/stdlibtest
Arrays.
Generate a linearly spaced numeric array.
Generate a linearly spaced array over a specified interval.
Create a zero-filled array having a specified length.
Compute the Bessel function of the first kind of order zero.
Beta function.
Error function.
Gamma function.
Plotting.
Calculate the maximum value of a strided array.
Calculate the arithmetic mean of a strided array.
Calculate the minimum value of a strided array.
Calculate the standard deviation of a strided array.
Standard library.
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sahilk45
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