Specify and synthesize systems using symbolic algorithms
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Updated
Dec 15, 2025 - Python
Specify and synthesize systems using symbolic algorithms
Logic Minimization in Python
Espresso Logic Minimizer - Modernized Edition
Fast Heuristic Minimization of Exclusive-Sums-of-Products
An implementation of the Quine-McCluskey-Algorithm for Boolean function minimization, written in C.
Purpose of this project is to simplify sum-of-product logic expressions.
Logic Expression Compiler, with Logic Minimization, to NAND/NOR Implementation
Faster/SpiNNaker implementations of routing table minimization algorithms
Interactive Karnaugh map minimization tool generating optimized SOP/POS expressions, Verilog code, circuit diagrams, and waveforms.
Logic synthesis and verification framework
This software is designed to help Computer/Electric Hardware Engineers design an efficient digital logic circuit with best optimisation for lowest cost and power consumption to implement any function.
Tic-Tac-Toe AI powered by Karnaugh Maps and Boolean Logic
These are the assignments of Second year Analog Digital Electronicd subject
An implementation of the Quine-McCluskey algorithm for Boolean function minimization
Python implementation of the ESPRESSO heuristic Boolean logic minimization algorithm
A command line application that makes a more human-friendly version of an Espresso logic minimization output file and allows for combinational logic simulation.
Boolean Expression Simplifier
Boolean function minimizer in C++ -- exact Quine-McCluskey and heuristic multi-pass Espresso algorithms, reading standard PLA format.
A full Karnaugh map solver and interactive tutor for minimising 2, 3 and 4-variable boolean functions.
Implementing Quin McCluskey algorithm for minimizing logic equations, observation and experimenting with variety of sets of equations to generate conclusion on variance with the algorithm.
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