Professional Certificate in Math Optimization Techniques
-- ViewingNowThe Professional Certificate in Math Optimization Techniques is a comprehensive course that equips learners with essential skills in mathematical optimization. This course is vital in today's data-driven world, where businesses rely on mathematical models to make informed decisions.
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โข Introduction to Math Optimization Techniques - Overview, history, and applications of math optimization techniques. โข Linear Programming - Formulation, simplex method, and duality theory. โข Integer Programming - Integer and binary variables, branch-and-bound method, and cutting planes. โข Nonlinear Programming - Convex and nonconvex optimization, gradient-based methods, and Newton's method. โข Convex Optimization - Convex functions, sets, and optimization problems, optimality conditions, and duality. โข Optimization Algorithms - Gradient descent, Newton's method, interior-point methods, and subgradient methods. โข Conic Optimization - Conic formulations, second-order cone programming, and semidefinite programming. โข Large-Scale Optimization - Decomposition methods, first-order methods, and parallel computing in optimization. โข Stochastic and Robust Optimization - Stochastic and robust optimization models, and solution methods.
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