Applying the philosophy, theory, and methods of decision analysis to creating and executing winning legal strategies, this book offers explanations from introductory to advanced, with practice problems at the end of each chapter and numerous step-by-step tutorials as well as complete examples of how to structure most common legal questions.
Applying the philosophy, theory, and methods of decision analysis to creating and executing winning legal strategies, this book offers explanations fr...
Multistage stochastic optimization problems appear in many ways in finance, insurance, energy production and trading, logistics and transportation, among other areas. They describe decision situations under uncertainty and with a longer planning horizon. This book contains a comprehensive treatment of today's state of the art in multistage stochastic optimization. It covers the mathematical backgrounds of approximation theory as well as numerous practical algorithms and examples for the generation and handling of scenario trees. A special emphasis is put on estimation and bounding of the...
Multistage stochastic optimization problems appear in many ways in finance, insurance, energy production and trading, logistics and transportation, am...
The aim of stochastic programming is to find optimal decisions in problems which involve uncertain data. This field is currently developing rapidly with contributions from many disciplines including operations research, mathematics, and probability. At the same time, it is now being applied in a wide variety of subjects ranging from agriculture to financial planning and from industrial engineering to computer networks. This textbook provides a first course in stochastic programming suitable for students with a basic knowledge of linear programming, elementary analysis, and probability. The...
The aim of stochastic programming is to find optimal decisions in problems which involve uncertain data. This field is currently developing rapidly...
This monograph is a gateway for researchers and graduate students to explore the profound, yet subtle, world of long-range dependence (also known as long memory).
This monograph is a gateway for researchers and graduate students to explore the profound, yet subtle, world of long-range dependence (also known as l...
The implicit function theorem is one of the most important theorems in analysis and its many variants are basic tools in partial differential equations and numerical analysis.
This second edition of Implicit Functions and Solution Mappings presents an updated and more complete picture of the field by including solutions of problems that have been solved since the first edition was published, and places old and new results in a broader perspective. The purpose of this self-contained work is to provide a reference on the topic and to provide a unified collection of a number of...
The implicit function theorem is one of the most important theorems in analysis and its many variants are basic tools in partial differential equat...
This book, written for the logistics manager and researcher, presents an authoritative survey of the modern theory and application of logistics, including case studies in which decision support tools for large-scale logistics applications are developed.
This book, written for the logistics manager and researcher, presents an authoritative survey of the modern theory and application of logistics, inclu...
The objective is the modelling and calculation of optimal daily scheduling of power generation, by thermal power plants, to satisfy all demands at minimum cost, in such a way that the generation and transmission capacities as well as the demands at the nodes of the system appear in an integrated form.
The objective is the modelling and calculation of optimal daily scheduling of power generation, by thermal power plants, to satisfy all demands at mi...
This book presents state-of-the-art theoretical analysis of fundamental Newtonian and Newtonian-related approaches to solving optimization and variational problems, and offers a set of tools for the unified treatment of various algorithms.
This book presents state-of-the-art theoretical analysis of fundamental Newtonian and Newtonian-related approaches to solving optimization and variati...
Part III presents direct search methods (Generalized Pattern Search and Mesh Adaptive Direct Search) and Part IV focuses on model-based methods (Simplex Gradient and Trust Region).
Part III presents direct search methods (Generalized Pattern Search and Mesh Adaptive Direct Search) and Part IV focuses on model-based methods (Simpl...
