Become a sponsor to Sethu Iyer
I develop physics-informed optimization engines that treat solution spaces as thermodynamic systems.
My flagship project, BAHA (GitHub, Zenodo), detects thermodynamic fractures in optimization landscapes and uses complex-plane branch enumeration (via Lambert-W) to escape local minima—achieving 88% success across 26 hard problems, including solving Ramsey R(5,5,5) at N=52.
If your problem has phase transitions (SAT near threshold, constraint satisfaction, graph coloring), BAHA likely outperforms SA/GA by 2–10×—with zero tuning.
Open-source core. Enterprise-ready extensions available.
Another flagship product is Navokoj, which is powerful enough to be termed as general-purpose engine for finding coherent structure inside astronomically large discrete spaces.
It uses significantly more mathematics and engineering than in the open source versions to solve large scale max-SAT, max-QSAT, XOR-SAT with high degree accuracy. Proprietary solver explores local basin keeping the global geometry in mind.
Your support directly funds the research and development of:
Navokoj: The physics-inspired SAT solver that treats constraints as flowing geometry.
BAHA: High-performance C++/Python engines for discrete combinatorial optimization.
and more. Please refer to https://shunyabar.lovable.app for the open source research. https://navokoj.shunyabar.foo/ for the API. Generous free tier.
Featured work
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sethuiyer/casimir-sat-solver
when boolean logic meets quantum mechanics
HTML 1 -
sethuiyer/baha
Simulated annealing which uses thermodynamics of the landscape to escape local minima and works amazingly on discrete combinatorial problems
C++ 2 -
sethuiyer/shunyabar.lua
A zero-dependency Lua module solving hard combinatorial and physics problems
Lua 1 -
sethuiyer/DAPS
Dimensionally adaptive prime search for discontinuous, non-smooth, and multi-modal landscapes where traditional methods might fail.
HTML
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