Engineering optimization: methods and applications
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.
Kullanıcılar ne diyor? - Eleştiri yazın
Her zamanki yerlerde hiçbir eleştiri bulamadık.
Introduction to Optimization
Functions of a Single Variable
11 diğer bölüm gösterilmiyor
Diğer baskılar - Tümünü görüntüle
Engineering Optimization: Methods and Applications
A. Ravindran,K. M. Ragsdell,G. V. Reklaitis
Metin Parçacığı görünümü - 2006
algorithm applications approximation basic feasible solution basic variable bounds calculations Chapter codes coefficients conjugate directions Consider convergence convex convex function convex set cost cutting plane design variables determine discussed dual engineering equality constraints equations estimate evaluations Example feasible point feasible region formulation Geometric Programming given gj(x golden section search gradient method Hence hk(x inequality constraints infeasible initial integer program interval iterations Kuhn-Tucker conditions Lagrangian line search linear constraints linear program matrix maximum minimum Newton's method NLP problem nonbasic variable Nonlinear Programming nonnegative objective function objective function value obtained operating optimal solution optimization problem optimum parameters penalty function posynomial primal procedure quadratic program quasi-Newton Ragsdell reduced gradient satisfy search directions search method selected shown in Figure simplex method solve stationary point strategy Subject subproblem tableau techniques termination Theorem tion unconstrained update Variable metric vector zero