suite = 'bbob', funcId = 3, DIM = 2, Precision = 1.000e-08, algId = 'scd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% scd-CMA-ES: continuously differentiable CMA-ES without cumulation for both step size and covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f3/bbobexp_f3_DIM2_i2.dat, 4:26882|9.6e-10, 93:2620|1.1e-09, 97:1389|5.4e-09
suite = 'bbob', funcId = 3, DIM = 3, Precision = 1.000e-08, algId = 'scd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% scd-CMA-ES: continuously differentiable CMA-ES without cumulation for both step size and covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f3/bbobexp_f3_DIM3_i2.dat, 4:12844|5.9e-09, 93:7922|2.9e-10, 97:23037|2.1e-10
suite = 'bbob', funcId = 3, DIM = 5, Precision = 1.000e-08, algId = 'scd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% scd-CMA-ES: continuously differentiable CMA-ES without cumulation for both step size and covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f3/bbobexp_f3_DIM5_i2.dat, 4:42807|2.2e-10, 93:3347|3.3e-09, 97:744715|3.7e-01
suite = 'bbob', funcId = 3, DIM = 10, Precision = 1.000e-08, algId = 'scd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% scd-CMA-ES: continuously differentiable CMA-ES without cumulation for both step size and covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f3/bbobexp_f3_DIM10_i2.dat, 4:1300151|9.9e-01, 93:1223641|3.0e+00, 97:1441421|2.0e+00
suite = 'bbob', funcId = 3, DIM = 20, Precision = 1.000e-08, algId = 'scd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% scd-CMA-ES: continuously differentiable CMA-ES without cumulation for both step size and covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f3/bbobexp_f3_DIM20_i2.dat, 4:2304575|5.0e+00, 93:2404151|5.0e+00, 97:2257427|4.0e+00
suite = 'bbob', funcId = 3, DIM = 40, Precision = 1.000e-08, algId = 'scd-CMA-ES', coco_version = '', logger = 'bbob', data_format = 'bbob-new2'
% scd-CMA-ES: continuously differentiable CMA-ES without cumulation for both step size and covariance matrix as benchmarked by A. Gissler in his BBOB-2023 paper
data_f3/bbobexp_f3_DIM40_i2.dat, 4:4997711|1.4e+01, 93:4923506|1.4e+01, 97:5184896|1.5e+01