optimation 2.0

A Python library for iterative variable weighting and optimation

Optimation Framework v2.0

Optimation is a flexible framework for iterative variable weighting, balancing trade-offs, and adaptive decision-making.

Installation

pip install optimation

Core Features

• Variable Weighting & Balance
• Exponential & Trade-Off Adjustments
• Quantum-Inspired Optimation Techniques

Basic Usage

from optimation.logic import balance_variables

result = balance_variables(A=10, B=20, weight_A=70)
print(result)  # Outputs optimized result

Advanced Quantum Optimation

from optimation.quantum import quantum_superposition

result = quantum_superposition(A=10, B=20, weight_A=70)
print(result)  # Outputs quantum-adjusted variables

Running Tests

Run unit tests using:

python -m unittest discover optimation/tests