TAILIEUCHUNG - Ebook Engineering optimization theory and practice (4th edition): Part 2

(BQ) Part 2 book "Engineering optimization theory and practice" has contents: Nonlinear programming III-Constrained optimization techniques, geometric programming, dynamic programming, dynamic programming, stochastic programming, stochastic programming, practical aspects of optimization,.and other contents. | 7 Nonlinear Programming III: Constrained Optimization Techniques INTRODUCTION This chapter deals with techniques that are applicable to the solution of the constrained optimization problem: Find X which minimizes f (X) subject to gj (X) ≤ 0, j = 1, 2, . . . , m hk (X) = 0, k = 1, 2, . . . , p () There are many techniques available for the solution of a constrained nonlinear programming problem. All the methods can be classified into two broad categories: direct methods and indirect methods, as shown in Table . In the direct methods, the constraints are handled in an explicit manner, whereas in most of the indirect methods, the constrained problem is solved as a sequence of unconstrained minimization problems. We discuss in this chapter all the methods indicated in Table . CHARACTERISTICS OF A CONSTRAINED PROBLEM In the presence of constraints, an optimization problem may have the following features [, ]: 1. The constraints may have no effect on the optimum point; that is, the constrained minimum is the same as the unconstrained minimum as shown in Fig. . In this case the minimum point X∗ can be found by making use of the necessary and sufficient conditions ∇f

• Cơ khí - Chế tạo máy
• Engineering optimization theory
• Nonlinear programming
• Constrained optimization techniques
• Geometric programming
• Dynamic programming
• Dynamic programming
• Stochastic programming
• Classical optimization techniques
• One dimensional minimization methods
• Linear programming I Simplex method
• Additional topics and extensions
• Luận án Tiến sĩ
• Luận án Tiến sĩ Kỹ thuật
• Summary of Engineering doctoral thesis
• A large scale system applying
• Control theory
• Optimization control
• Electronic Engineering
• Renewable energy
• Uncertain conditions
• Portfolio theory
• Investment efficiency
• Data Envelopment Analysis
• Monte Carlo
• Compressed sensing
• Optimization algorithm
• Random sampling
• Satellite image compression
• Sparse representation
• Green supply chain network design
• Stochastic Bi Objective programming
• Structural reliability theory
• Stochastic demand and carbon price
• Closed loop supply chain network
• Dynamic programming for parsing
• estimation of stochastic
• unification based grammars
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Inventory model
• Stock dependent demand
• Fuzzy stochastic programming
• Fuzzy linear programming
• Illustrated numerically
• Dynamic stochastic programming
• Funded pillar
• Utility function
• Bellman equation
• Slovak pension system
• Risk aversion
• Pension portfolio simulations
• Introduction to Computation
• Programming using Python
• Computer program language
• Computer programming
• Stochastic programs
• Data visualization
• Genetic Algorithm
• Stochastic Methods
• Generator Design
• Reluctance Machine
• Transmission Investments
• Noise Reduction
• Linear programming
• Trapezoidal fuzzy number
• Penalty method
• Optimization methods
• báo cáo hóa học
• công trình nghiên cứu về hóa học
• tài liệu về hóa học
• cách trình bày báo cáo
• Controllability
• bang bang principle
• Game theory
• stochastic control
• Pontryagin Maximum
• the Hoabinh reservoir
• Modelling the Hoabi
• Stochastic Dynamic Programming
• Policy Search
• Historical operation