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@article{166623,
        author = {Ashwini Modi},
        title = {optimization theory and its application in operation research},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {2},
        pages = {1289-1292},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=166623},
        abstract = {Optimization theory is crucial in operations research, providing mathematical frameworks and algorithms to solve complex decision-making problems efficiently. This paper covers the basics of optimization theory, explores its mathematical foundations, and reviews various optimization algorithms. It also examines real-world applications in operations research, showing how these theories and algorithms improve efficiency, reduce costs, and enhance decision-making in industries. },
        keywords = {Optimization Theory, Operations Research, Linear Programming, Real-Time Optimization, Advanced Algorithms, Data Quality in Optimization.},
        month = {July},
        }