The Geospatial Data Abstraction Library (GDAL) is a unifying C/C++ API for accessing raster geospatial data, and currently includes formats like GeoTIFF, Erdas Imagine, Arc/Info Binary, CEOS, DTED, GXF, and SDTS. It is intended to provide efficient access, suitable for use in viewer applications, and also attempts to preserve coordinate systems and metadata. Python, C, and C++ interfaces are available.
ESKit is a portable C library that provides implementations of some self-adaptive evolution strategies. It features a simple API, comprehensive documentation, three state of the art self-adaptive evolution strategies (Isotropic CSA-ES, CMA-ES, and Separable CMA-ES), and can optionaly uses LAPACK. The implementation strictly follows the published papers introducing those evolution strategies and performs as in the published papers. A basic benchmark program is provided.