Optimization for Engineers, Economists, and Data Scientists: Calculus-Based Optimization + Linear Programming Lagrange Multipliers ffiConvexity ffiGradient Methods ffiSimplex

Master the principles of optimization with this comprehensive, application-driven guide designed for students and professionals in engineering, economics, and data science.This book provides a unified and intuitive approach to optimization, bridging calculus-based methods and linear programming techniques. Starting from fundamental concepts and building toward advanced methods, it equips you with the tools needed to solve real-world optimization problems with confidence.Inside, you’ll find:Clear explanations of optimization theoryStep-by-step worked examplesReal-world applications across multiple disciplinesGradient methods, convexity, and Lagrange multipliersLinear programming and the simplex methodPractical computational techniques using Python and ExcelWhether you're a student preparing for exams or a professional solving complex decision problems, this book offers both clarity and depth in one complete resource. Read more