MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.
ABSTRACT: The alternating direction method of multipliers (ADMM) and its symmetric version are efficient for minimizing two-block separable problems with linear constraints. However, both ADMM and ...
Abstract: Dynamic optimization problems involving discrete decisions have several applications, yet lead to challenging optimization problems that must be addressed efficiently. Combining discrete ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study investigated the role of various polymers as precipitation inhibitors in ...
Department of Mechanical Engineering, University of Cape Town, Cape Town, South Africa This paper presents the exergy analysis and optimization of the Stirling engine, which has enormous potential for ...
Abstract: There are interesting new algorithms which overcome the slow convergence near a minimum point of the standard steepest descent algorithm. For a convex quadratic function we have n-steps ...
The factoring of biprimes is proposed as a framework for exploring unconstrained optimization algorithms. A mapping from a given factoring problem to a positive degree four polynomial F is described.
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