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Input to the compress is a text le with arbitrary size, but for this assignment we will assume that the data structure of the file fits in the main memory of a computer. Output of the program is a compressed representation of the original file. You will have to save the codetable in the header of the compressed file, so that you can use the codetable for decompressing the compressed file. Input to the decompress is a compressed file, from which the program recovers the original file. For sanity check, you should have a specific magic word at some position in the header of the compressed file, so that decompress can identify whether the given file is a valid Huffman compressed file. You should pay attention to the following issues:
The file that we will use for testing can be very large, having size in Gigabytes, so make sure that your program is bug-free and it works for large input le.
Write efficient algorithm, we will take off as much as 20 points if we feel that the program is taking unusually long time.
You must make sure that your program runs on a Linux Machine, and identically follows the formatting instructions. For formatting error, as much as 15 points can be taken off .
You must provide a Make file to compile your programs. Also, a README.txt le should be provided that will have the instruction to compile and run the programs.
Historical controls : The group of patients treated in the past with the standard therapy, taken in use as the control group for evaluating the new treatment on the present patient
This process of estimating from a data set those values lying beyond range of the data. In the regression analysis, for instance, a value of the response variable might be estimate
Log-linear models is the models for count data in which the logarithm of expected value of a count variable is modelled as the linear function of parameters; the latter represent
Change point problems : Problems with chronologically ordered data collected over the period during which there is known to have been a change in the underlying data generation cou
Advantages and disadvantages of Integrated Economic Statistics
Suppose that $4 million is available for investment in three projects. The probability distribution of the net present value earned from each project depends on how much is invest
Bayes factor : A summary of evidence for the modelM1 against the another modelM0 provided by the set of data D, which can be used in the model selection. Given by the ratio of post
Ordinal variable is a measurement which allows a sample of the individuals to be ranked with respect to some characteristic but where differences at different points of the scale
elements , importance, limitation, and theories
The problematic and enigmatic theory of an inference introduced by the Fisher, which extracts a probability distribution for the parameter on the basis of the data without having f
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