A simple class that implements an adaptive container for a GPU storage using CUDA. Can be used analogous to the std::vector, contains the following methods:

• init(size of a single data type)
• push_back(type val_)
• shrink_to_fit()
• get_size()
• capacity()
• type data() <- access to internal part of the container.

Constructor takes two optional parameters:

• container(int muliplyer_ = 2, int init_steps_ = 100) muliplyer_ - adjusts the internal storage if the data doesnot fit for the next push_back() init_steps_ - amount of data that is initially reserved in the internal storage.

Added quasi-dynamically adjustable indexing table for GPU, see dynamic_index_table_gpu.h and test_dynamic_table_gpu.cu