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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[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<Expr> 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)