Civil Engineering Systems Analysis and DesignDevelops concepts and methods of system analysis and design by using the systems approach and a mathematical model. Illustrates these notions by problem types likely to be encountered in practice. Emphasizes the full range of socio-economic factors which have a bearing on the solution of multi-disciplinary problems. Provides computer subroutine examples complete with brief documentation. |
Contents
Linear programming Part | 4 |
Optimization by calculus | 28 |
Linear programming | 57 |
Copyright | |
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activity algorithm allocation analysis ARRAY b₁ Calculate capacity column COMPUTED corresponding cost coefficients critical path cumulative distribution function cut-set d₁ d₂ DATA decision variables defined described design variables determine DIMENSION distribution dual dual graph duration dynamic programming engineer equality constraints equation evaluated event example feasible region feasible space flow FORTRAN given GOTO illustrated improvement index incidence matrix inequality constraints initial input state variable integer involves iteration linear programming loop LP problem m³/s matrix maximization maximum Minimize minimum cost Newton-Raphson method node non-linear objective function obtained optimal policy optimal solution optimum parameters penalty term pipeline network problem plant portal frame possible procedure pump resource RETURN END route routine S₁ Section shown in Figure simplex method slack variables solve stage stationary point SUBROUTINE Table tableau tank technique total cost vector water cell x₁ x₂ zero