TY - JOUR AU - Mohammed, Nedal M. AU - AL-Seadi, Ali N. AU - Lomte, Santosh S. AU - Rokade, Poonam M. AU - Hamoud, Ahmed A. PY - 2020 TI - Efficient and verifiable outsourcing computation of large-scale nonlinear programming JO - Journal of Mathematics and Computer Science SP - 335--343 VL - 21 IS - 4 AB - Nonlinear programming (NLP) problems arise in various fields, such as transport, financial engineering, logistics, urban planning, supply chain management, and power system control. Solving large-scale NLPs are usually so computationally expensive for resource-constrained users within a feasible time. The cost-effective solution is computation outsourcing, but this raises security concerns such as the input and output privacy of the customers, and cheating behaviors of the cloud since NLP problems always carry sensitive information. In this paper, we develop a practical secure and verifiable schema for solving outsourcing large-scale (NLP) with the GRG method. 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