Abstract: This study presents a spectral method for solving the two-dimensional variable-order fractional optimal control problems (2D-VOFOCPs). In this work, a dynamic system with variable-order ...

Polynomial_solver.py parses a polynomial expression, simplifies it, and prints both an expanded and factored version with all rational roots solved. Only the variable "x" is supported and non-integers ...

Solving optimization problems is challenging for existing digital computers and even for future quantum hardware. The practical importance of diverse problems, from healthcare to financial ...

Abstract: The Boolean satisfiability (SAT) problem is a fundamental NP-complete problem, and efficiently solving it would revolutionize fields like optimization, artificial intelligence, cryptography, ...