An Introduction to Optimization Techniques

图书简介

Various pioneers in technology education have demonstrated the importance of analysis and optimization. Optimization is a precise procedure using design constraints and criteria to enable the planner to find the optimal solution. Wide and emerging uses of optimization techniques make it essential for students and professionals.

Introduction to Optimization Techniques. Introduction. Need of Optimization. Historical Perspective. Optimization Terms/ Parameters. Types of Optimization. Advanced Optimization Techniques. Optimization by Design of experiments. Applications of Optimization Techniques. Limitations of Optimization Techniques. Optimization method in engineering and management applications. Linear Programming. Introduction. Examples of LP Problems. Formulation of Linear Programming Problem. Examples based on LP formulation. General form of LPP. Basic Assumptions of LPP model. Solutions to Linear Programming Problem. Type of solution to Linear Programming Problem. Examples based on LP graphical solution. Simplex Method. Big - M method / Method of Penalty. Two-phase method. Duality in Linear Programming Problem. Sensitivity Analysis. Advantages of Linear Programming Model. Limitations of Linear Programming Model. Chapter Summary. Questions. Transportation Problem and Assignment Problem. Introduction. Mathematical Form of the Transportation Problem. Solution of a Transportation Problem. Degeneracy in Transport Problems. Unbalanced Transportation Problem. Introduction to Assignment Problem. The Nature of Assignment Problem. Mathematical Formulation of Assignment Problem. Assignment Algorithm (Hungarian Assignment Method). The Maximal Assignment Problem. Unbalanced Assignment Problem. Chapter Summary. Questions. Network Models. Introduction. Dummy Activities. CPM

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An Introduction to Optimization Techniques 优化技术简介 计算机科学技术基础学科

An Introduction to Optimization Techniques

优化技术简介
计算机科学技术基础学科