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Operational research. Game theory --- Linear Programming --- Toegepaste wiskunde --- Lineaire programmering --- Linear programming --- Production scheduling --- Programming (Mathematics) --- Programmation mathematique --- Programmation lineaire

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-Operational analysis --- -519.8 Operational research --- 519.8 --- Operations research --- -#TWER:IB --- CP/M --- kansrekening --- wiskunde --- lineaire programmering --- projectmanagement --- 519.8 Operational research --- Operational research --- Operational analysis --- Industrial engineering --- Management science --- Research --- System theory --- Problems, exercises, etc --- 51(076.1) --- netwerkanalyse --- simplexmethode --- 167 --- Gehele programmering --- Lineaire programmering --- Niet-lineaire programmering --- Transportproblemen --- operationeel onderzoek --- Operational research. Game theory --- Problems, exercises, etc. --- operations research --- markov-processen --- queueing theory --- speltheorieën --- -Problems, exercises, etc

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Kalman filter, particle filter, IMM, PDA, ITS, random sets... The number of useful object-tracking methods is exploding. But how are they related? How do they help track everything from aircraft, missiles and extra-terrestrial objects to people and lymphocyte cells? How can they be adapted to novel applications? Fundamentals of Object Tracking tells you how. Starting with the generic object-tracking problem, it outlines the generic Bayesian solution. It then shows systematically how to formulate the major tracking problems - maneuvering, multiobject, clutter, out-of-sequence sensors - within this Bayesian framework and how to derive the standard tracking solutions. This structured approach makes very complex object-tracking algorithms accessible to the growing number of users working on real-world tracking problems and supports them in designing their own tracking filters under their unique application constraints. The book concludes with a chapter on issues critical to successful implementation of tracking algorithms, such as track initialization and merging.

Operational research. Game theory --- GPS (global positioning system) --- SLP (sequentiele lineaire programmering) --- Bayesian statistics --- Linear programming. --- Programming (Mathematics) --- Mathematical programming --- Goal programming --- Algorithms --- Functional equations --- Mathematical optimization --- Operations research --- Production scheduling

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Optimization models play an increasingly important role in financial decisions. This is the first textbook devoted to explaining how recent advances in optimization models, methods and software can be applied to solve problems in computational finance more efficiently and accurately. Chapters discussing the theory and efficient solution methods for all major classes of optimization problems alternate with chapters illustrating their use in modeling problems of mathematical finance. The reader is guided through topics such as volatility estimation, portfolio optimization problems and constructing an index fund, using techniques such as nonlinear optimization models, quadratic programming formulations and integer programming models respectively. The book is based on Master's courses in financial engineering and comes with worked examples, exercises and case studies. It will be welcomed by applied mathematicians, operational researchers and others who work in mathematical and computational finance and who are seeking a text for self-learning or for use with courses.

Corporate finance --- Operational research. Game theory --- -Mathematical optimization --- Finance --- Mathematical optimization --- lineaire algebra --- lineaire programmering --- mathematische modellen, toegepast op economie --- stochastische processen --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Mathematical models --- Mathematical optimization. --- Finances --- Optimisation mathématique --- Mathematical models. --- Modèles mathématiques --- Finance - Mathematical models --- Mathematical Sciences --- General and Others

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Computational unconstrained nonlinear optimization comes to life from a study of the interplay between the metric-based (Cauchy) and model-based (Newton) points of view. The motivating problem is that of minimizing a convex quadratic function. This research monograph reveals for the first time the essential unity of the subject. It explores the relationships between the main methods, develops the Newton-Cauchy framework and points out its rich wealth of algorithmic implications and basic conceptual methods. The monograph also makes a valueable contribution to unifying the notation and terminology of the subject. It is addressed topractitioners, researchers, instructors, and students and provides a useful and refreshing new perspective on computational nonlinear optimization.

Mathematical optimization --- Niet-lineaire programmering --- Nonlinear programming --- Optimalisation mathématique --- Programmation non lineaire --- Wiskundige optimisatie --- Computer science—Mathematics. --- Computer-aided engineering. --- Numerical analysis. --- Information technology. --- Business—Data processing. --- Computational complexity. --- System theory. --- Mathematics of Computing. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Numerical Analysis. --- IT in Business. --- Complexity. --- Systems Theory, Control. --- Systems, Theory of --- Systems science --- Science --- Complexity, Computational --- Electronic data processing --- Machine theory --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Mathematical analysis --- CAE --- Engineering --- Philosophy --- Data processing