IMSL C Numerical Library provides the essential building blocks needed to develop analytic tools for your organization.Get the latestTry FreeCNL 2020CNL 2019LATEST RELEASECNL 2020For a complete list of supported platforms, click here. To learn more about these updates, see the change log.Nonlinear Equationszeros_poly function:Added companion matrix and Aberth's method according to D. A. Bini's implementation as root finding methods. The new methods can be called via optional arguments IMSL_COMPANION_METHOD and IMSL_ABERTH_METHOD, respectively.zeros_poly (complex) function:Added companion matrix and Aberth's method according to D. A. Bini's implementation as root finding methods. The new methods can be called via optional arguments IMSL_COMPANION_METHOD and IMSL_ABERTH_METHOD, respectively.Optimizationmin_uncon_polytope function:Fixed bugs in the computation of the shrinking step and the computation of the second worst point.min_con_polytope function:Fixed bugs in the computation of the second worst and final best point.Regressionpls_regression function:Added new optional arguments: IMSLS_OPT_N_COMPONENTS for the optimal component number, IMSLS_STANDARD_COEF(_USER) for the standard PLS regression coefficients, IMSLS_INTERCEPT_TERMS(_USER) for the intercept terms and IMSLS_PCT_VAR(_USER) for the percentage of variance of predictor and response variables explained by the components. Improved the performance of the cross-validation section of the code that determines the optimal number of PLS components, and we've fixed a few defects. More details can be found in the change log.Categorical and Discrete Data Analysiscategorical_glm function:Refined computation of complementary log-log function and simplified computation of some internal constants.Time Series and Forecastingarma function:Extended applicability of the method of moments from the standard ARMA model to general ARMA models.support_vector_trainer function:Fixed an issue in the radial basis function kernel that significantly improving performance.CNL 2019For a complete list of supported platforms, click here. To learn more about these updates, see the change log. CMATH Library ImprovementsA number of bug fixes and performance improvements were implemented in the following chapters of the CMATH library:Linear SystemsInterpolation and ApproximationQuadratureDifferential EquationsOptimizationSpecial FunctionsUtilitiesCSTAT Library ImprovementsA number of bug fixes and performance improvements were implemented in the following chapters of the CSTAT library:RegressionCategorical and Discrete Data AnalysisTime Series and ForecastingProbability Distribution Functions and InversesRandom Number Generation Math and Stat User GuideMath and Stat User Guide now includes information about:OpenMP "schedule(runtime)" clause.OpenMP OMP_NUM_THREADS and OMP_NESTED environment.