CCL library (the low level C implementation)

Files
file	ccl_learn_alpha.h
	CCL header file for learning state dependent constraint.
file	ccl_learn_lambda.h
	CCL header file for learning state dependent constraint with known jacobian.
file	ccl_learn_ncl.h
	CCL header file for learning nullspace component.
file	ccl_learn_nhat.h
	CCL header file for learning state independent constraint.
file	ccl_learn_policy.h
	CCL header file for learning unconstraint policy.
file	ccl_math.h
	CCL header file for math.

Data Structures
struct	LEARN_A_MODEL
	This structure describes a "LEARN_A_MODEL" (a learn alpha model). This structure constains the dimentionality of the defined problems and the model parameters. It should always initialised with ccl_learn_alpha_model_alloc, and destroyed with ccl_learn_alpha_model_free. More...
struct	OPTION
	This structure defines the OPTION for the optimizer. More...
struct	SOLVE_LM_WS
	This structure defines the workspace variables for solving the non-linear LM optimization. More...
struct	LEARN_NCL_MODEL
	This structure describes a "LEARN_NCL_MODEL" (a learn ncl model). This structure constains the dimentionality of the defined problems and the model parameters. It should always initialised with ccl_learn_ncl_model_alloc, and destroyed with ccl_learn_ncl_model_free. More...
struct	LEARN_MODEL_WS
	This structure describes workspace for directly learning the model parameters using linear regression. More...
struct	OBJ_WS
	This structure defines the workspace variables for calculating objective functions. More...
struct	SOLVE_NONLIN_WS
	This structure defines the workspace variables for solving the non-linear LM optimization. More...
struct	NHAT_search
	This structure defines the searching parameters for NHAT_search. More...
struct	NHAT_Model
	This structure defines the model parameters for NHAT_Model. More...
struct	NHAT_result
	This structure defines the model parameters for NHAT_result. More...
struct	LEARN_MODEL_PI_WS
	This structure describes workspace for directly learning the policy model parameters using linear regression. More...
struct	LEARN_MODEL_PI
	This structure describes learning a direct linear policy model parameters LEARN_MODEL_PI. More...
struct	LEARN_MODEL_LW_PI
	This structure describes learning a direct locally weighted linear policy model parameters LEARN_MODEL_LW_PI. More...
struct	LEARN_MODEL_LW_PI_WS
	This structure describes workspace for directly learning the policy model parameters using locally weighted linear regression. More...
struct	MP_INV_WS
	This structure describes the workspace memory of calculating matrix pseudo inverse MP_INV_WS. More...