variational-methods

Reference implementation of tensor-network variational diagonalization (TNVD): a spectrum MPS and finite-depth VQC jointly encode full many-body eigenenergies and eigenstates for ED-controlled validation and global spectral sampling beyond explicit enumeration.

Conservative Lapse-Action Planning (CLAP): a variational access-and-dwell framework for safe AI optimization. Surf the conservative-lapse field to the best safe basin and dwell there — theorem-backed, pip-installable, with differentiable PyTorch training adapters.

Fair six-point (Deslauriers–Dubuc) subdivision on Euclidean and constant-curvature surfaces — providing exact symbolic verification of the variational identity, space-form curvature models, geodesic log–exponential lifts to S² and H², and fairness benchmarks.

Numerical image processing and geospatial raster workflows with TV reconstruction, sub-pixel registration, SAR primitives, GeoTIFF support, Docker, and reproducible benchmarks.

三卷40章的泛函分析自学LaTeX教材：基础、谱论、无界算子、半群、Sobolev/PDE、非线性分析与变分法。

Variational Gradient Synthesis for safe swarm control: 2nd-order dynamics, wind perturbations, actuator saturation, and certified collision avoidance.

Spectral Electromagnetic Confinement Theory (SECT). Teoría de campo clásica efectiva para solitones electromagnéticos topológicos autoconfinados, independiente de QCD/Higgs.

C++17 implementation of ROF total variation image denoising, with Chambolle and Split Bregman solvers, a CLI, and an installable CMake package.