Abstract: Systems and methods are disclosed for creating a self-extracting file from any given input file type with minimum user interaction. The systems and methods include, in response to a single action, receiving an input file, compressing the input file, transforming the compressed input file into a self-extracting file, configuring the self-extracting file to, upon execution, decompress and launch the original input file with the appropriate application software, and generating a name for the resulting self-extracting file. The systems and methods may operate directly on the input file regardless of file type, transforming the input file into an executable file and increasing the ease and speed of creating a self-extracting file that automatically launches the original input file upon execution of the self-extracting file.

Abstract: Systems and methods are disclosed for creating a self-extracting file from any given input file type with minimum user interaction. The systems and methods include, in response to a single action, receiving an input file, compressing the input file, transforming the compressed input file into a self-extracting file, configuring the self-extracting file to, upon execution, decompress and launch the original input file with the appropriate application software, and generating a name for the resulting self-extracting file. The systems and methods may operate directly on the input file regardless of file type, transforming the input file into an executable file and increasing the ease and speed of creating a self-extracting file that automatically launches the original input file upon execution of the self-extracting file.

Abstract: The systems and methods relate to the compression of multiple files into a single file called an archive. Before appending the multiple files as one file to be compressed, the systems and methods arrange the order of files to increase the potential of redundancy among neighboring files, thus providing potential improvement in compression ratio and compression speed. In using a dictionary method to compress the multiple files appended as one file, a large dictionary is used in one embodiment to take advantage of potential between-file redundancies. In another embodiment, the redundancy characteristics of the multiple files are examined to dynamically determine the dictionary size. After the dictionary compression method produces an intermediary output data file, the intermediary output data may be separated into multiple sections, and a compression method that is potentially suitable for the data characteristics of each section may be applied.

Abstract: Systems and methods are disclosed for creating a self-extracting file from any given input file type with minimum user interaction. The systems and methods include, in response to a single action, receiving an input file, compressing the input file, transforming the compressed input file into a self-extracting file, configuring the self-extracting file to, upon execution, decompress and launch the original input file with the appropriate application software, and generating a name for the resulting self-extracting file. The systems and methods may operate directly on the input file regardless of file type, transforming the input file into an executable file and increasing the ease and speed of creating a self-extracting file that automatically launches the original input file upon execution of the self-extracting file.

Abstract: The systems and methods relate to the compression of multiple files into a single file called an archive. Before appending the multiple files as one file to be compressed, the systems and methods arrange the order of files to increase the potential of redundancy among neighboring files, thus providing potential improvement in compression ratio and compression speed. In using a dictionary method to compress the multiple files appended as one file, a large dictionary is used in one embodiment to take advantage of potential between-file redundancies. In another embodiment, the redundancy characteristics of the multiple files are examined to dynamically determine the dictionary size. After the dictionary compression method produces an intermediary output data file, the intermediary output data may be separated into multiple sections, and a compression method that is potentially suitable for the data characteristics of each section may be applied.