Solve a system of up to 5 linear equations (Ax = b) using Gaussian elimination.
Supports +, -, *, /, ^, sin, cos, tan, ln, log, sqrt, exp, abs, and parentheses. Use x as the variable.
Numerically evaluate a definite integral of a function between two bounds using Simpson's rule.
Compute mean, median, mode, variance, standard deviation, and quartiles from a list of numbers.
Compute the symbolic derivative of a single-variable function and evaluate it at any point.
Compute PDF/PMF and CDF values for the normal, binomial, and Poisson distributions.
Estimate total trainable parameters and forward-pass FLOPs for a fully-connected neural network.
Compute accuracy, precision, recall, specificity, and F1 score from a binary confusion matrix.
Run a one-sample t-test, two-sample (Welch's) t-test, or chi-square test and get the test statistic and p-value.
Calculate the minimum sample size needed to estimate a proportion within a chosen margin of error and confidence level.
Solves a system of linear equations Ax = b using Gaussian elimination with partial pivoting, for 2 to 5 unknowns. Partial pivoting (swapping to the largest available pivot in each column) keeps the elimination numerically stable, avoiding division by very small numbers.
If the system has no unique solution (a singular matrix — dependent or contradictory equations), the tool reports this instead of a misleading result.
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