Expression Calculator — Simplify, Evaluate, and Visualize Expressions
What it is
- A tool that parses mathematical and logical expressions, simplifies them symbolically, evaluates them numerically, and displays results visually.
Key features
- Parsing: Accepts infix notation, parentheses, standard operators (+, −, ×, ÷, ^), functions (sin, cos, log, etc.), variables, and constants.
- Symbolic simplification: Combines like terms, cancels factors, reduces fractions, applies algebraic identities, and simplifies trig/log expressions where possible.
- Numeric evaluation: Computes high-precision numeric results for given variable assignments; supports integer, floating-point, and arbitrary-precision arithmetic.
- Step-by-step solutions: Shows intermediate steps for simplification and solving (useful for learning and debugging).
- Visualization: Plots expressions and functions (2D graphs, contour plots for two variables), and shows expression trees or dependency graphs.
- Error handling: Clear, actionable messages for syntax errors, domain errors (e.g., log of negative), and undefined variables.
- Extensibility: Plugin or API hooks for adding custom functions, constants, or operators.
- Export & share: Export steps, results, and plots as LaTeX, PNG/SVG, or JSON.
Typical use cases
- Students learning algebra, calculus, and trigonometry.
- Developers needing an expression-evaluation API or test harness.
- Engineers/scientists prototyping formulas and visualizing behavior.
- Teaching tools that require step-by-step explanations.
Example workflow
- Enter expression: (x^2 – 1)/(x – 1)
- Simplify symbolically → x + 1
- Evaluate at x = 3 → 4
- Show steps, plot graph of x^2−1 and simplified form, and export LaTeX.
Implementation notes (concise)
- Use tokenizer + recursive descent or shunting-yard for parsing.
- Represent expressions as an abstract syntax tree (AST) for transformations.
- Apply pattern-based rewrite rules and CAS techniques for simplification.
- Use numeric libraries for arbitrary precision and plotting libraries for visualization.
Limitations & considerations
- Complete symbolic simplification is undecidable in general; prefer heuristic rules.
- Watch performance on very large expressions; use memoization and expression hashing.
- Carefully handle floating-point edge cases and branch cuts for complex functions.
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