From Optimisation to Multi-Criteria Decision Aid: Three Main Operational Attitudes -- An Algorithm for Combined Quadratic and Multiobjective Programming -- Quasi-Kernels of Outranking Relations -- Existence and Duality in Multiple Objective Linear Programming -- On the Relationship of the...

1. The Cluster Problem and Preliminary Ideas -- 1.1 Basic Notions and Definitions -- 1.2 The Cluster Problem -- 1.3 Distance Functions -- 1.4 Measures of Similarity -- 1.5 Distance and Similarity Between Clusters -- 1.6 Cluster Methods Based on Euclidean Distance -- 1.7 An Algorithm for...

1. Existence and Stability of the Cournot Oligopoly Solution (Or Equilibrium) -- 1.1. No Product Differentiation -- 1.2. Product Differentiation -- 1.3. Mathematical Appendix -- 2. Uniqueness of the Cournot Oligopoly Solution -- 3. Entry in the Cournot Model: Quasi-Competitiveness VS Perfect...

1. Automata Theory -- Decomposition Theorems -- 2. Linear Systems Theory -- Algebraic Method for Calculating z-Transform -- The Formal Laplace Transform for Smooth Linear Systems -- On Invariants, Canonical Forms and Moduli for Linear, Constant, Finite Dimensional, Dynamical Systems -- System...

I. Introduction -- II. The Examples -- III. The Programs -- IV. The Increase and Cumulation of Round-Off Errors -- V. The Use of Easily Computed Checks as a Trigger for Error Elimination -- VI. The Zero-Check for Eliminating Non-Significant Elements -- VII. “Ill-Conditioned” Vertices --...

1. The general model -- 2. The linear-quadratic model -- 2.1 Finite horizon case -- 2.2 Least square forecasts -- 2.3 An ideal situation -- 2.4 Infinite horizon case -- 2.5 Appendix to Chapter 2 -- 2.5.1 State space representation and Separation Theorem -- 2.5.2 Optimal policies for...

Summary of Assumptions -- 1 Basic Concepts -- 1.1 Directed Graphs and Activity Networks -- 1.2 GERT Networks -- 1.3 Assumptions Required for GERT Networks -- 1.4 Evaluation of GERT Networks -- 1.5 Subnetworks of GERT Networks -- 2 STEOR Networks -- 2.1 Stochastic Processes Connected with STEOR...

1.0 Introduction -- 2.0 Necessary Conditions for Optimality -- 3.0 The Gradient Method -- 3.1 Min H Method and Conjugate Gradient Method -- 3.2 Boundary Constraints -- 3.3 Problems with Control Constraints -- 4.0 Successive Sweep Method -- 4.1 Final Time Given Implicitly -- 5.0 Second-Variation...