# PyMathCompute
<p align="center">
<img src="https://github.com/ricardoleal20/pymath_compute/blob/main/assets/banner.png" width="70%" height="70%" />
</p>
[](https://github.com/ricardoleal20/pymath_compute/actions)
[](https://pypi.org/project/pymath_compute/)
**PyMathCompute** is a Python tool designed to handle mathematical variables, create and evaluate mathematical expressions, and perform various mathematical optimizations. This library is ideal for those working in applied mathematics, optimization, and related fields.
## Features
- **Variable**: Defines mathematical variables with lower and upper bounds.
- **MathExpression**: Creates and evaluates mathematical expressions using defined variables.
- **Mathematical Operations**: Supports addition, subtraction, multiplication, and exponentiation of variables and expressions.
- **Special mathematical operations**: Also allow us to interact with special operators such as e, sin, cos and others.
## Installation
You can install PyMathCompute using pip:
```bash
pip install pymath_compute
```
## Basic Usage
### Defining Variables and Mathematical Expressions
```python
from pymath_compute import Variable
# Create a variable
x = Variable(name="x", lower_bound=0, upper_bound=10)
# Create a mathematical expression
expr = x + 2 * x - 5
# Evaluate the expression
values = {"x": 5}
result = expr.evaluate(values)
print(f"Result of the expression: {result}")
```
### Mathematical Operations
PyMathCompute allows various mathematical operations with variables and expressions:
```python
from pymath_compute import Variable
# Create variables
x = Variable(name="x", lower_bound=0, upper_bound=10)
y = Variable(name="y", lower_bound=0, upper_bound=10)
# Create expressions
expr1 = x + y
expr2 = x * 2 + y ** 2
# Evaluate expressions
values = {"x": 3, "y": 4}
result1 = expr1.evaluate(values)
result2 = expr2.evaluate(values)
print(f"Result of expr1: {result1}")
print(f"Result of expr2: {result2}")
```
### Mathematical Operators
PyMathCompute also allow connection with operators, as using `sin`, `cos`, `e`, and others. For this, we use the `MathFunction` parameter
```python
from numpy import np
from pymath_compute import Variable, MathFunction
# Create the variables
x = Variable(name="x", lower_bound=0, upper_bound=np.pi)
# Add a function to calculate the sin of x
sin = MathFunction(np.sin, x)
```
## Usage
Here is a basic example of how to use the `OptSolver` and its methods:
```python
from pymath_compute import Variable
from pymath_compute.solvers.opt_solver import OptSolver
from pymath_compute.methods import OptMethods
# Define a simple objective function
def objective_function(variables: list[Variable]) -> float:
return sum(var.value for var in variables)
# Create some variables
variables = [Variable(name=f"Var_{i}", value=i) for i in range(10)]
# Initialize the solver
solver = OptSolver()
# Set the variables
solver.set_variables(variables)
# Set the objective function
solver.set_objective_function(objective_function)
# Configure the solver
solver.set_solver_config({
"solver_time": 30,
"solver_method": OptMethods.GRADIENT_DESCENT
})
# Solve the optimization problem
solver.solve()
# Check the status and get the results
print(f"Solver status: {solver.status}")
results = solver.vars_results()
for var in results:
print(f"{var.name}: {var.value}")
```
You can see more in the [examples](https://github.com/ricardoleal20/pymath_compute/tree/main/pymath_compute/examples) section of this package.
## Future Plans
In future versions, we plan to add:
- Mathematical optimization methods like Newton's method.
- Molecular dynamics solvers.
- Computational derivatives and other advanced calculus tools.
## Contributions
Contributions are welcome. If you have suggestions, bug reports, or improvements to propose, please open an issue or a pull request on our GitHub repository.
## License
This project is licensed under the MIT License - see the [LICENSE](https://github.com/ricardoleal20/pymath_compute/blob/main/LICENSE) file for details.
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"description": "# PyMathCompute\n\n<p align=\"center\">\n <img src=\"https://github.com/ricardoleal20/pymath_compute/blob/main/assets/banner.png\" width=\"70%\" height=\"70%\" />\n</p>\n\n[](https://github.com/ricardoleal20/pymath_compute/actions)\n[](https://pypi.org/project/pymath_compute/)\n\n**PyMathCompute** is a Python tool designed to handle mathematical variables, create and evaluate mathematical expressions, and perform various mathematical optimizations. This library is ideal for those working in applied mathematics, optimization, and related fields.\n\n## Features\n\n- **Variable**: Defines mathematical variables with lower and upper bounds.\n- **MathExpression**: Creates and evaluates mathematical expressions using defined variables.\n- **Mathematical Operations**: Supports addition, subtraction, multiplication, and exponentiation of variables and expressions.\n- **Special mathematical operations**: Also allow us to interact with special operators such as e, sin, cos and others.\n\n## Installation\n\nYou can install PyMathCompute using pip:\n\n```bash\npip install pymath_compute\n```\n\n## Basic Usage\n\n### Defining Variables and Mathematical Expressions\n\n```python\nfrom pymath_compute import Variable\n\n# Create a variable\nx = Variable(name=\"x\", lower_bound=0, upper_bound=10)\n\n# Create a mathematical expression\nexpr = x + 2 * x - 5\n\n# Evaluate the expression\nvalues = {\"x\": 5}\nresult = expr.evaluate(values)\nprint(f\"Result of the expression: {result}\")\n```\n\n### Mathematical Operations\n\nPyMathCompute allows various mathematical operations with variables and expressions:\n\n```python\nfrom pymath_compute import Variable\n\n# Create variables\nx = Variable(name=\"x\", lower_bound=0, upper_bound=10)\ny = Variable(name=\"y\", lower_bound=0, upper_bound=10)\n\n# Create expressions\nexpr1 = x + y\nexpr2 = x * 2 + y ** 2\n\n# Evaluate expressions\nvalues = {\"x\": 3, \"y\": 4}\nresult1 = expr1.evaluate(values)\nresult2 = expr2.evaluate(values)\n\nprint(f\"Result of expr1: {result1}\")\nprint(f\"Result of expr2: {result2}\")\n```\n\n### Mathematical Operators\n\nPyMathCompute also allow connection with operators, as using `sin`, `cos`, `e`, and others. For this, we use the `MathFunction` parameter\n\n```python\nfrom numpy import np\nfrom pymath_compute import Variable, MathFunction\n\n# Create the variables\nx = Variable(name=\"x\", lower_bound=0, upper_bound=np.pi)\n\n# Add a function to calculate the sin of x\nsin = MathFunction(np.sin, x)\n```\n\n## Usage\n\nHere is a basic example of how to use the `OptSolver` and its methods:\n\n```python\nfrom pymath_compute import Variable\nfrom pymath_compute.solvers.opt_solver import OptSolver\nfrom pymath_compute.methods import OptMethods\n\n# Define a simple objective function\ndef objective_function(variables: list[Variable]) -> float:\n return sum(var.value for var in variables)\n\n# Create some variables\nvariables = [Variable(name=f\"Var_{i}\", value=i) for i in range(10)]\n\n# Initialize the solver\nsolver = OptSolver()\n\n# Set the variables\nsolver.set_variables(variables)\n\n# Set the objective function\nsolver.set_objective_function(objective_function)\n\n# Configure the solver\nsolver.set_solver_config({\n \"solver_time\": 30,\n \"solver_method\": OptMethods.GRADIENT_DESCENT\n})\n\n# Solve the optimization problem\nsolver.solve()\n\n# Check the status and get the results\nprint(f\"Solver status: {solver.status}\")\nresults = solver.vars_results()\nfor var in results:\n print(f\"{var.name}: {var.value}\")\n```\n\nYou can see more in the [examples](https://github.com/ricardoleal20/pymath_compute/tree/main/pymath_compute/examples) section of this package.\n\n## Future Plans\n\nIn future versions, we plan to add:\n\n- Mathematical optimization methods like Newton's method.\n- Molecular dynamics solvers.\n- Computational derivatives and other advanced calculus tools.\n\n## Contributions\n\nContributions are welcome. If you have suggestions, bug reports, or improvements to propose, please open an issue or a pull request on our GitHub repository.\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](https://github.com/ricardoleal20/pymath_compute/blob/main/LICENSE) file for details.\n\n",
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