Optimization Techniques II

Semi-infinite programming: Conditions of optimality and applications.- On equiwellset minimum problems.- Second-order necessary and sufficient optimality conditions for infinite-dimensional programming problems.- An underrelaxed gauss-newton method for equality constrained nonlinear least squares problems.- A modification of Robinson's algorithm for general nonlinear programming problems requiring only approximate solutions of subproblems with linear equality constraints.- On a minimization problem in structural mechanics.- Non-linear least squares inversion of an integral equation using free-knot cubic splines.- On the convergence of the modified tui algorithm for minimizing a concave function on a bounded convex polyhedron.- A class of algorithms for the determination of a solution of a system of nonlinear equations.- Stochastic linear programs with random data having stable distributions.- Methods of feasible directions with increased gradient memory.- The continuous method of steepest descent and its discretizations.- Convergence rate results for a penalty function method.- A combined variable metric — Conjugate Gradient algorithm for a class of large scale unconstrained minimization problems.- Simplex method for dynamic linear program solution.- An adaptive precision method for the numerical solution of constrained optimization problems applied to a time-optimal heating process.- Generalized inverses and a new stable secant type minimization algorithm.- A conjugate directions method and its application.- The development of an efficient optimal control package.- An accuracy selection algorithm for the modified gradient projection method in minimax problems.- Single-iterative saddle-point algorithms for solving constrained optimization problems via augmented Lagrangians.- Improved lower bounds to 0/1 problems via lagrangean relaxation.- A unified approach to reshipment, overshipment and post-optimization problems.- Solving an integer programming problem.- Worst-case analysis for a class of combinatorial optimization algorithms.- An improved method of successive optima for the assignment problem.- Accelerated greedy algorithms for maximizing submodular set functions.- Resource allocation in a set of networks under multiple objectives.- An algorithm for solving the generalized transportation problem.- An efficient algorithm for solving a stochastic, integer programming problem arising in radio navigation.- Using pseudoboolean programming in decomposition method.- Solving the general project scheduling problem with multiple constrained resources by mathematical programming.- Threshold methods for boolean optimization problems with separable objectives.- Comparison of some educational planning models.- Mathematical programming in health-care planning.- A model of housing developing costs related to location.- An optimum surveillance and control system for synchronized traffic signals.- Regional classification problem and weaver's method.- A mathematical model for decision making in public service planning.- Optimal control of regional economic growth.- System modeling for interconnected dynamic economy and the decentralized optimal control.- Economic consequences of a change in demographic patterns: A linear programming model.- The multiple covering problem and its application to the dimensioning of a large scale seismic network.- A remark on econometric modelling, optimization and decision making.- Formulation and solution of the sequencing problem with parallel machines.- Stochastic model of resource allocation to R & D activities under cost value uncertainty.- Scheduling of trains — An optimization approach.- Optimal portfolios where proceeds are a function of the current asset price.- An algorithm for optimal sequencing of aircraft in the near terminal area.- A mathematical model of traffic in communication networks.- Partitioning a computer network into subnetworks and allocation of distributed data bases.- Effective file allocation method onto disc devices.- Optimal file allocation problem and relational distributed data bases.- General purpose nonlinear programming package.