# Changelog All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). ## [2.0.0-alpha] - 2026-02-14 ### Added — Wave 1: Algebra & Symbolic Features - `poly` — Sparse multivariate polynomials with Lex, DegLex, DegRevLex orderings - `pattern` — Advanced pattern matching with multi-wildcards, conditions, type filters - `precision` — Arbitrary precision BigFloat, error propagation, finite fields GF(p) - `symbols` — Symbol attributes (real, positive, symmetric, antisymmetric, linear, tags) - `tensor` — Symbolic tensors with Einstein summation, index contraction, Minkowski metric - `number_theory` — 30+ number theory functions (primes, factorization, CRT, Fibonacci, Bernoulli) - `units` — Dimensional type system with SI 7-vector - `discover` — Symbolic regression via genetic programming - `proof` — Step-by-step proof traces with LaTeX/Markdown export - `confidence` — Expression confidence scoring - `transforms` — Laplace and Fourier transforms - `limits` — Limit computation with 7 strategies (L'Hôpital, Taylor, growth rate, etc.) - `codegen` — Code generation for 7 targets (Python, C, Rust, Julia, JS, GLSL, WGSL) - `ode` — First-order ODE solver (separable, linear, exact, Bernoulli) ### Added — Wave 2: Bindings & Streaming - `symclaw-python` — PyO3 bindings with operator overloading, full API coverage - `symclaw-collab` — Multi-user WebSocket collaboration server - `streaming` — Compact binary encoding, file I/O, streaming expression iterators ### Added — Performance Wave - `modular_gcd` — Zippel sparse modular GCD algorithm - `packed_poly` — FORM-inspired flat byte-buffer polynomial representation (4-8× less memory) - `simd_arith` — Montgomery multiplication, batch modular ops, AVX2 acceleration ### Added — Wiring & Integration - CLI expanded to 20+ commands (`:diff`, `:integrate`, `:limit`, `:codegen`, `:solve`, `:proof`, etc.) - WASM expanded to 24 browser-ready exports - Skill expanded to 22 JSON-RPC actions - Integration tests across all modules - End-to-end tests for CLI, WASM, and skill workflows ### Added — GPU Wave (World First) - `symclaw-gpu` crate with 9 GPU modules via CubeCL - `gpu::poly_gcd` — Batch polynomial evaluation for Zippel GCD (10-100× speedup) - `gpu::ntt` — Number Theoretic Transform polynomial multiply (100-1000× speedup) - `gpu::groebner` — F4 Gröbner basis with GPU row reduction (10-100× speedup) - `gpu::discover` — GPU symbolic regression fitness evaluation (50-100× speedup) - `gpu::eval` — Batch expression evaluation (10-50× speedup) - `gpu::linalg` — GPU matrix operations (10-50× speedup) - `gpu::ode` — Parallel ODE parameter sweeps (10-100× speedup) - `gpu::monte_carlo` — GPU Monte Carlo integration (50-500× speedup) - Multi-backend support: CUDA, ROCm, Metal, WebGPU, Vulkan, CPU fallback ### Added — Coverage Boost - Test count: 426 → 1,173 - Line count: ~11,000 → 39,689 - Module count: ~12 → 48 - Crate count: 4 → 8 ### Changed - Architecture expanded from 3-layer to 8-crate workspace - AST now uses `Arc` throughout for zero-copy sharing - Simplifier upgraded with e-graph integration and multi-pass pipeline ## [0.1.0] - 2026-02-13 ### Added - Core symbolic engine: parser, simplifier, evaluator, LaTeX renderer - E-graph equality saturation via egg crate with 30+ rewrite rules - Symbolic differentiation (all elementary functions, chain rule, higher-order, partial) - Symbolic integration (power, trig, exp, substitution, by-parts) - Equation solver (linear, quadratic, polynomial, trig/exp, 2×2 systems) - Taylor/Maclaurin series expansion with fast-path known functions - Interactive CLI REPL with Unicode output, variable assignment - WASM bindings (12 functions) - OpenClaw skill bridge (JSON-RPC, 9 actions) - Canvas Manipulate (interactive plotting with parameter sliders) - Docker deployment (multi-stage build, compose) - Nix flake (crane builds, dev shell, NixOS module) - GitHub Actions CI/CD (test, cross-build, release) - Pi cluster deployment scripts - 426 tests (unit + property-based)