IMSL(R) Library for C, Version 8.6.0


This document contains release notes for IMSL Library for C,
Version 8.6.0.

===<  Contents  >=============================================================

This file has the following parts:

      Part    Contents
      ----    --------
      1       Introduction
      2       Improvements
      3       New Functionality Added for IMSL Library for C 8.6.0
      4       Code Fixes and Improvements for IMSL Library for C 8.6.0
      5       Customer Support


===<  Part 1: Introduction  >=================================================

This file contains information on improvements made with IMSL Library for C,
Version 8.6.0


===<  Part 2: Improvements  >=================================================

    o The general look and feel of the online documentation has been changed.

    o CUDA 7.5 is supported.


===<  Part 3: New Functionality Added for IMSL Library for C 8.6.0 >====

   C Math Library

      Chapter 8: Optimization

       min_uncon_polytope            - Minimizes a function of n variables
                                       using a direct search polytope
                                       algorithm.


    C Stat Library 

      Chapter 13: Data Mining


       decision_tree                 - Added optional argument IMSLS_CRITERIA
                                       which allows users to specify which
                                       criteria the ALACART method and the C4.5
                                       method should use in the gain 
                                       calculations to determine the best split
                                       at each node.

       

===<  Part 4: Code Fixes and Improvements for IMSL Library for C 8.6.0 >



   C Math Library


      Chapter 3:  Interpolation and Approximation

       cub_spline_tcb                - Corrected value assignment of optional 
                                       argument IMSL_RIGHT. Document Example 2
                                       output updated to reflect this correction.

      Chapter 8:  Optimization


       sparse_lin_prog               - Updated the function description 
                                       (Documentation)

      Chapter 12: Utilities

       output_file                   - Corrected document example 2 
                                       (Documentation)
      
      Error handling:
       
       imslerr.dat                   - Various error message corrections.


   C Stat Library

      Chapter 2:  Regression

       pls_regression                - Various performance improvements

                                       Resolved cross validation memory issues

                                       Corrected description for IMSLS_N_FOLD 
                                       (Documentation)

      Chapter 5:  Categorical and Discrete Data Analysis

       logistic_regression           - Fixed error in the initial values.

       logistic_reg_predict          - Fixed problems with the prediction  
                                       intervals and improper indexing

      Chapter 7:  Tests of Goodness of Fit

       chi_squared_test              - Corrected index out of bounds problem


      Chapter 8:  Time Series and Forecasting

       auto_arima                    - Resolved resource error associated with
                                       parallel code

                                       Relaxed search for optimum ARMA model  
                                       when the optimum model found by   
                                       seasonal_fit cannot be handled by
                                       ts_outlier_identification

      Chapter 12:  Random Number Generation


       random_table_get              - Updated the function description 
                                       (Documentation)

       random_GFSR_table_get         - Updated the function description 
                                       (Documentation)

       random_weibull                - Updated the example description 
                                       (Documentation)

      Chapter 13: Data Mining


       apriori                       - Increased resource allocation and 
                                       improved union accuracy for frequent
                                       item sets

                                       Improved performance of candidate 
                                       itemsets identification
                             
                                       Optional argument IMSLS_MIN_SUPPORT
                                       changed to type double only.
                                       
                                       Corrected the description of the array
                                       x in multiple references from type 
                                       "float" to type "int" (Documentation)

                                       Corrected confidence value calculations.

       aggr_apriori                  - Corrected the description of the array
                                       x in multiple references from type "float" 
                                       to type "int" (Documentation)

       decision_tree                 - Improved memory efficiency to correct for
                                       out of memory errors. Corrected problems
                                       associated with memory allocation for 
                                       cross validation.

                                       Corrected the function description
                                       (Documentation)

                                       Added description for the deviance criterion
                                       to the documentation.

      Chapter 15: Utilities


       data_sets                     - Added check to assure mutually exclusive
                                       arguments are not selected together.





===<  Part 5: Customer Support >==============================================

If you have problems installing/using any IMSL product, contact IMSL
Customer Support. The Customer Support group researches and answers
your questions about all IMSL products.  Contact information can be
found in the file README located in this directory.