Optimization Techniques: Proceedings of the 9th IFIP Conference on Optimization Techniques Warsaw, September 4–8, 1979 (Lecture Notes in Control and Information Sciences (22))

Optimality conditions for some nonconvex problems.- A general perturbation theory for optimization problems.- On the theoretical basis for methods for parametric optimization problems.- Basic solutions and a 'simplex' method for a class of continuous linear programs.- A probabilistic algorithm for global optimization problems with a dimensionality reduction technique.- The method of feasible directions for optimization problems with subdifferentiable objective function.- Factorized variable metric algorithms for unconstrained optimization.- A unified approach to nonlinear programming algorithms basing on sequential unconstrained minimizations.- Minimax optimization using quasi-newton methods.- Algorithms for the solution of a discrete minimax Subgradient methods and a new fast newton - Method.- Algorithm of search for global extremum of function from variables measured in different scales.- A method for solving equality constrained optimization problems by unconstrained minimization.- Randomly generated nonlinear programming test problems.- Method of regularized approximations and its application to convex programming.- Methods of hierarchical optimization for interconnected systems.- Structural analysis of large nonlinear programming problems.- On the use of statistical models of multimodal functions for the construction of the optimization algorithms.- Stability analysis in pure and mixed-integer linear programming.- Alternative group relaxation of integer programming problems.- Efficient method applying incomplete ordering for solving the binary knapsack problem.- Weighted satisfiability problems and some implications.- On two methods for solving the bottleneck matching problem.- Fast approximation algorithms for knapsack type problems.- Computational relations between various definitions of matroids and independence systems.- Relations among integer programs.- Linear optimization for linear and bottleneck objectives with one nonlinear parameter.- Selected aspects of a general algebraic modeling language.- Software design for algorithms of hierarchical optimization.- Outlines for a general mathematical modeling software.- An efficient algorithm for obtaining the reduced connection equations for a class of dynamic systems.- Characteristics of incremental assignment method.- Stochastic modelling of socio-economic systems.- Optimal allocation of a seismographic network by nonlinear programming.- Stochastic approach to the two-level optimization of the complex of operations.- Some results on timed petri-nets.- Non equilibrium computer network distribution.- Dynamic programming of stochastic activity networks with cycles.- A necessary condition for the elimination of crane interference.- Optimal constructions of project networks.- Enumeration techniques in directed hypergraphs.- Optimal dispatching control of bus lines.- A strategic approach to air traffic control.- EDP project and computer equipment selection by the use of linear programming.- Impact of financing on optimal R & D resource allocation.- On an inexact transportation problem.- Integer programming as a tool for plant adjustment problem.- A cutting sequencing algorithm.- On a winning coalition of the charakteristic function game as a solution of the resource allocation problem.- A package for analytic simulation of econometric models.- On the recursive estimation of stochastic and time-varying parameters in econometric systems.- Computing equilibria in an industry producing an exhaustible resource.- Optimization of a country's trade policies.- An open input-output model with continuous substitution between primary factors as a problem of geometric programming.- An equilibrium model for an open economy with institutional constraints on factor prices.- Controllability and observability of dynamic economic systems.- The development of economic system in case of differential optimization (for one-sector dynamic model).- Modelling and computation of water qual