New technique for solving multivariate global optimization


Abstract views: 154


In this paper, we propose an algorithm based on branch and bound method to underestimate the objective function and reductive transformation which is transformed the all multivariable functions on univariable functions. We also demonstrate several quadratic lower bound functions are proposed which they are better/preferable than the others well-known in literature. We obtain that our experimental results are more effective when we face different nonconvex functions.


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How to Cite

Aaid, D., & Özer, Özen. (2023). New technique for solving multivariate global optimization. J. Numer. Anal. Approx. Theory, 52(1), 3–16.