Multivariable Calculus Lab
Numeric gradient, directional derivative, Jacobian, and Hessian calculations with local visualization.
Open ToolSymbolicComputation.com / Tools
These tools are meant to be genuinely useful for students, engineers, developers, and researchers. Some are calculation-heavy, some are visualization-first, and some are miniature symbolic laboratories built to make abstract ideas concrete.
Numeric gradient, directional derivative, Jacobian, and Hessian calculations with local visualization.
Open ToolAnalyze polynomial curves, real and complex roots, critical points, and overall shape.
Open ToolGenerate and inspect linear recurrences, term growth, and simple closed-form descriptions.
Open ToolCompare a function against its Taylor approximation and Fourier partial sums.
Open ToolExperiment with miniature rewrite systems, normal forms, confluence, termination, and toy e-graph clusters.
Open ToolSee how pattern variables bind in a small first-order symbolic setting.
Open ToolInspect Einstein-style signatures and compute small tensor contractions directly in the browser.
Open ToolEach page is built to be useful in two ways at once: as a practical calculator or visualization, and as a compact lesson in the mathematical structure behind the result. You can usually start with the default example, press the main button, then make one change at a time to see what the outputs are responding to.
The tools cluster follows the same theme as the rest of SymbolicComputation.com: mathematical structure matters. Some tools study local change through derivatives and linearization. Some study algebraic structure through roots, recurrences, and series. Others study symbolic structure through rewriting, unification, and index notation.
That mix is deliberate. It keeps the tools useful for students and engineers while also reinforcing how symbolic and mathematical reasoning connect across the site.