Engineering Optimization: Methods and ApplicationsWiley, 6 Eyl 1983 - 704 sayfa A basic text for engineering students and practicing engineers dealing with design problems in all engineering disciplines. Optimization algorithms are developed through illustrative examples. Includes numerical results on the efficiencies of various algorithms, comparison of constrained-optimization methods, and strategies for optimization studies. Also includes several actual case studies. |
İçindekiler
Introduction to Optimization | 1 |
Functions of a Single Variable | 25 |
Linear Programming | 137 |
Telif Hakkı | |
11 diğer bölüm gösterilmiyor
Diğer baskılar - Tümünü görüntüle
Engineering Optimization: Methods and Applications G. V. Reklaitis,A. Ravindran,K. M. Ragsdell Metin Parçacığı görünümü - 1983 |
Engineering Optimization: Methods and Applications G. V. Reklaitis,A. Ravindran,K. M. Ragsdell Metin Parçacığı görünümü - 1983 |
Sık kullanılan terimler ve kelime öbekleri
algorithm applications approximation basic feasible solution basic variable bounds calculations codes coefficients conjugate directions Consider contours convergence convex convex function cost cutting plane design variables discussed engineering equality constraints equations estimate evaluations Example feasible point feasible region formulation g₁(x geometric programming given golden section search gradient method h₁(x Hence inequality constraints infeasible integer program interval iterations Kuhn-Tucker conditions line search linear program local minimum LP problem matrix maximum minimum Newton's method nonbasic variable Nonlinear Programming nonnegative objective function objective function value obtained optimal solution optimization problem optimum parameters penalty function posynomial primal procedure quadratic program Ragsdell reduced gradient satisfy search directions search method selected shown in Figure simplex method solve stationary point Step strategy Subject to h(x subproblem tableau termination Theorem tion unconstrained update Variable metric vector x₁ zero