Added more Matlab examples from toolboxes and CMA-ES

v0.3

Update README.md

Improved history handling, added noise simulation

Changelog:

• Added quality of life handling of the optimization history
• Added options for variables noise, and example code for cost function noise
• Added example for noisy simulation

Initial release

Initial release, functions/methods docstrings might not be 100% accurate

Implemented Gradient Descent methods:

• Gradient Descent
• Momentum
• Nesterov Accelerated Gradient
• Adam
• NAdam
• RAdam
• Adamax
• Adadelta
• Adagrad
• RMSProp
• ADMM

Implemented Gradient Evaluation methods using finite differences:

• Central finite differences
• Forward finite differences
• Backward finite differences
• Random signs finite differences
• Random signs central finite differences
• Parallel random signs finite differences
• Parallel random signs central finite differences