Allocation Problems Barrier Functions Best Linear Unbiased Estimator Concave Functions Constrained Optimization Convex Functions Convex Programming Convex Sets Cubic Fitting Curve Fitting Dual Variables Duality Expectation-maximization Algorithm False Position Method Feasible Solution Fibonacci Search First Order Condition Gradient Descent KKT Karush–Kuhn–tacker Lagrange Multipliers Lagrangian Method Least Squares Line Search Linear Constrains Linear Neural Networks Linear Programming Linear Regression Local Maximum Local Minimum Logistic Regression MLE Maximum Likelihood Estimators Newton's Method Non-linear Programming Penalty Functions Quadratic Fitting Quadratic Programming Quasi-Newton Rate of Convergence Representation Theorem Second Order Condition Sensitivity Analysis Shadow Price Simplex Steepest Descent Support Vector Machine Transportation Problem Unconstrained Optimization Unimodal Function