Goal Programming Techniques for Bank Asset Liability Management, Kyriaki Kosmidou; Constantin Zopounidis
Название: Asset and liability management handbook ISBN: 0230277799 ISBN-13(EAN): 9780230277793 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recent years have shown an increase in development and acceptance of quantitative methods for asset and liability management strategies. This book presents state of the art quantitative decision models for three sectors: pension funds, insurance companies and banks, taking into account new regulations and the industries risks.
Автор: Marida Bertocchi; Enrico Cavalli; Sandor Komlosi Название: Modelling Techniques for Financial Markets and Bank Management ISBN: 3790809284 ISBN-13(EAN): 9783790809282 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Shown is the application of up-to-date techniques for measuring efficiency, information imperfection and predictability in financial markets. Moreover, trading strategies in commodity future markets, models for the evolution of interest rates and postoptimality analysis in portfolio management are given.
Описание: Constitutes the refereed proceedings of the 6th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2009, held in Pittsburgh, PA, USA, in May 2009.
Автор: Helmut Simonis Название: Integration of AI and OR Techniques in Constraint Programming ISBN: 3319070452 ISBN-13(EAN): 9783319070452 Издательство: Springer Рейтинг: Цена: 11598.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the International Conference on the Integration of Artificial Intelligence (AI) and Operations Research (OR) Techniques in Constraint Programming, CPAIOR 2014, held in Cork, Ireland, in May 2014. The papers focus on constraint programming and global constraints;
Автор: Claude-Guy Quimper Название: Integration of AI and OR Techniques in Constraint Programming ISBN: 3319339532 ISBN-13(EAN): 9783319339535 Издательство: Springer Рейтинг: Цена: 8944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: On CNF Encodings for Decision Diagrams.- Time-Series Constraints: Improvements and Application in CP and MIP Contexts.- Finding a Collection of MUSes Incrementally.-Decompositions Based on Decision Diagrams.- Logic-Based Decomposition Methods for the Travelling Purchaser Problem.- Lagrangian Decomposition via Subproblem Search.- Non-linear Optimization of Business Models in the Electricity Market.- Weighted Spanning Tree Constraint with Explanations.- Forward-Checking ltering for Nested Cardinality Constraints: Application to an Energy Cost Aware Production Planning Problem for Tissue Manufacturing.- Cyclic Routing of Unmanned Aerial Vehicles.- Parallelizing Constraint Programming with Learning.- Parallel Composition of Scheduling Solvers.- Rail Capacity Planning With Constraint Programming.- Scheduling Home Hospice Care with Logic-Based Benders Decomposition.- A Global Constraint for Mining Sequential Patterns with GAP Constraint.- A Reservoir Balancing Constraint with Applications to Bike-Sharing.- Optimization Models for a Real-World Snow Plow Routing Problem.- The TASKINTERSECTION Constraint.- A Stochastic Continuous Optimization Backend for MiniZinc with Applications to Geometrical Placement Problems.- Constructions and In-place Operations for MDDs Based Constraints.- Balancing Nursing Workload by Constraint Programming.- Designing Spacecraft Command Loops Using Two-Dimension Vehicle Routing.- Constraint Programming Approach for Spatial Packaging Problem.- Detecting Semantic Groups in MIP Models.- Revisiting Two-Sided Stability Constraints.- Optimal Flood Mitigation over Flood Propagation Approximations.- A Bit-Vector Solver with Word Level Propagation.- A New Solver for the Minimum Weighted Vertex Cover Problem.- Optimal Upgrading Schemes for Eective Shortest Paths in Networks.
Автор: HKIB Название: BANK ASSET AND LIABILITY MANAGEMENT ISBN: 047082753X ISBN-13(EAN): 9780470827536 Издательство: Wiley Рейтинг: Цена: 6336.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Created for banking and finance professionals with a desire to expand their management skillset, this book focuses on how banks manage assets and liabilities, set up governance structures to minimize risks, and approach such critical areas as regulatory disclosures, interest rates, and risk hedging.
Описание: Constitutes the refereed proceedings of the 7th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2010, held in Bologna, Italy, in June 2010.
Автор: Domenico Salvagnin; Michele Lombardi Название: Integration of AI and OR Techniques in Constraint Programming ISBN: 3319597752 ISBN-13(EAN): 9783319597751 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Sharpening Constraint Programming approaches for Bit-Vector Theory.- Range-Consistent Forbidden Regions of Allen's Relations.- MDDs are Efficient Modeling Tools: An Application to Dispersion Constraints.- On Finding the Optimal Relaxed Decision Diagram.- Design and Implementation of Bounded-Length Sequence Variables.- In Search of Balance: The Challenge of Generating Balanced Latin Rectangles.- Debugging Unsatisfiable Constraint Models.- Learning Decision Trees with Exible Constraints and Objectives Using Integer Optimization.- Relaxation Methods for Constrained Matrix Factorization Problems: Solving the Phase Mapping Problem in Materials Discovery.- Minimizing Landscape Resistance for Habitat Conservation.- A Hybrid Approach for Stator Winding Design Optimization.- A Distributed Optimal Method for the Geographically Distributed Data Centres Problem.- Explanation-Based-Weighted Degree.- Counting-Weighted Spanning Trees to Solve Constrained Minimum Spanning Tree Problems.- The Weighted Arborescence Constraint.- Learning When to Use a Decomposition.- Experiments with Conict Analysis in Mixed Integer Programming.- A First Look at Picking Dual Variables for Maximizing Reduced-cost Based fixing.- Experimental Validation of Volume-based Comparison for Double-McCormick Relaxations.- Vehicle Routing Problem with Min-max Objective and Heterogeneous Fleet.- Solving the Traveling Salesman Problem with Time Windows with Dynamic Discretization Discovery.- A Fast Prize-collecting Steiner Forest Algorithm for Functional Analyses in Biological Networks.- Scenario Based Learning for Stochastic Combinatorial Optimization.- Optimal Stock Sizing in a Cutting Stock Problem with Stochastic Demands.- Stochastic Task Networks: Trading Performance for Stability.- Rescheduling Railway Traffic on Real Time Situations Using Time-Interval Variables.- A Multi-stage Simulated Annealing Algorithm for the Torpedo Scheduling Problem.- Combining CP and ILP in a Tree Decomposition of Bounded Height to Solve the Sum Coloring Problem.- A Free, Open-Source Framework for (Customized) Tree Decompositions and Beyond.- The Nemhauser-Trotter Reduction and Lifted Message Passing for Weighted CSPs.- A Local Search Approach for Incomplete Soft Constraint Problems: Experimental Results on Meeting Scheduling Problems.
Автор: Antonio J. Conejo; Enrique Castillo; Roberto Mingu Название: Decomposition Techniques in Mathematical Programming ISBN: 3642066070 ISBN-13(EAN): 9783642066078 Издательство: Springer Рейтинг: Цена: 22201.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Optimization plainly dominates the design, planning, operation, and c- trol of engineering systems. This is a book on optimization that considers particular cases of optimization problems, those with a decomposable str- ture that can be advantageously exploited. Those decomposable optimization problems are ubiquitous in engineering and science applications. The book considers problems with both complicating constraints and complicating va- ables, and analyzes linear and nonlinear problems, with and without in- ger variables. The decomposition techniques analyzed include Dantzig-Wolfe, Benders, Lagrangian relaxation, Augmented Lagrangian decomposition, and others. Heuristic techniques are also considered. Additionally, a comprehensive sensitivity analysis for characterizing the solution of optimization problems is carried out. This material is particularly novel and of high practical interest. This book is built based on many clarifying, illustrative, and compu- tional examples, which facilitate the learning procedure. For the sake of cl- ity, theoretical concepts and computational algorithms are assembled based on these examples. The results are simplicity, clarity, and easy-learning. We feel that this book is needed by the engineering community that has to tackle complex optimization problems, particularly by practitioners and researchersinEngineering, OperationsResearch, andAppliedEconomics.The descriptions of most decomposition techniques are available only in complex and specialized mathematical journals, di?cult to understand by engineers. A book describing a wide range of decomposition techniques, emphasizing problem-solving, and appropriately blending theory and application, was not previously available.
