math_expressions 1.1.0 math_expressions: ^1.1.0 copied to clipboard
A library for evaluating mathematical expressions.
math_expressions #
A library for parsing and evaluating mathematical expressions.
- Performs evaluations in real, vector, and interval contexts.
- Supports expression simplification and differentiation.
math_expressions is inspired by mathExpr for Java and distributed under the MIT license.
Features #
- Evaluation of expressions in various modes: Real, Vector and Interval.
- Parsing, simplification and differentiation of mathematical expressions.
- Supporting most basic math functions out of the box.
- Extensible through custom function definitions in code.
- Well documented and tested.
This package contains a very simple command-line interpreter for real numbers:
pub run math_expressions:interpreter
What's not working yet? #
- Some evaluations in vector and interval space (especially functions).
- N-dimensional vectors. Curently no more than four dimensions are supported.
- The parser only works for real numbers.
- Complex numbers.
Suggestions and pull requests are always welcome!
Usage #
Below are two basic examples of how to use this library. There also is some additional example code available.
1. Expression creation and evaluation #
This example shows how to evaluate
for
Build the expression
You can either create an mathematical expression programmatically or parse a string.
- Create the expression programmatically:
Variable x = new Variable('x'), y = new Variable('y');
Power xSquare = new Power(x, 2);
Cos yCos = new Cos(y);
Number three = new Number(3.0);
Expression exp = (xSquare + yCos) / three;
- Create the expression via the parser:
Parser p = new Parser();
Expression exp = p.parse("(x^2 + cos(y)) / 3");
Evaluate the expression
- Bind variables and evaluate the expression as real number:
// Bind variables:
ContextModel cm = new ContextModel();
cm.bindVariable(x, new Number(2.0));
cm.bindVariable(y, new Number(Math.PI));
// Evaluate expression:
double eval = exp.evaluate(EvaluationType.REAL, cm);
print(eval) // = 1.0
2. Expression simplification and differentiation #
This example shows how to simplify and differentiate
- Expressions can be simplified and differentiated with respect to a given variable:
Expression exp = p.parse("x*1 - (-5)");
print(exp); // = ((x * 1.0) - -(5.0))
print(exp.simplify()); // = (x + 5.0)
Expression expDerived = exp.derive('x');
print(expDerived); // = (((x * 0.0) + (1.0 * 1.0)) - -(0.0))
print(expDerived.simplify()); // = 1.0
Alternatives #
Here are some other Dart libraries that implement similar functionality to math_expression: parsing and evaluating mathematical expressions.
- expressions: an elegant and small library to parse and evaluate simple expressions.
- function_tree: a library for parsing, evaluating and plotting single- and multi-variables numerical functions.
To the author's knowledge math_expressions is currently the only library supporting interval arithmetics.