# krainaksiazek applied dynamic programming 20106956

- znaleziono 25 produktów w 2 sklepach

### Applied Dynamic Programming

**Książki Obcojęzyczne>Angielskie>Computing & information technology>Computer programming / software developmentKsiążki Obcojęzyczne>Angiels...**

Sklep: Gigant.pl

### Dynamic Programming and Bayesian Inference, Concepts and Applications Scitus Academics LLC

**Książki / Literatura obcojęzyczna**

A dynamic programming (DP) is an algorithmic technique which is usually based on a recurrent formula and one (or some) starting states. A subsolution of the problem is constructed from previously found ones. Dynamic programming solutions have a polynomial complexity which assures a much faster running time than other techniques like backtracking, brute-force etc. Dynamic programming is both a mathematical optimization method and a computer programming method. In both contexts it refers to simplifying a complicated problem by breaking it down into simpler sub-problems in a recursive manner. While some decision problems cannot be taken apart this way, decisions that span several points in time do often break apart recursively. Bayesian inference is a method of statistical inference in which Bayes theorem is used to update the probability for a hypothesis as more evidence or information becomes available. Dynamic programming algorithms are applied for optimization. A dynamic programming algorithm will inspect the previously solved sub-problems and will combine their solutions to give the best solution for the given problem. The alternatives are many, such as using a greedy algorithm, which picks the locally optimal choice at each branch in the road. The locally optimal choice may be a poor choice for the overall solution. While a greedy algorithm does not guarantee an optimal solution, it is often faster to calculate. Fortunately, some greedy algorithms are proven to lead to the optimal solution. Dynamic programming and Bayesian inference have been both intensively and extensively advanced in the course of recent years. As a consequence of these developments, interest in dynamic programming and Bayesian inference and their applications has greatly increased at all mathematical levels. This book, Dynamic programming and Bayesian inference, Concepts and Applications, is intended to provide some applications of Bayesian optimization and dynamic programming. This book presents a wide-ranging and demanding dealing of dynamic programming.

Sklep: Libristo.pl

### Advanced 3d Game Programming All in One PREMIER PRESS

**Książki / Literatura obcojęzyczna**

Take your 3D game programming skills to the next level! Advanced 3D Game Programming All in One uses the Torque Game Engine to teach experienced 3D game programmers advanced concepts. You'll use the Torque Game Engine to learn each new skill, maximizing your game engine experience. Quickly conquer TorqueScript, simulation techniques, the ins and outs of the game engine, player control, and using applied artificial intelligence. Then take it up a notch and discover how to spice up your game with enhanced game modeling using character and shape modeling and dynamic skins. Advanced 3D Game Programming All in One reveals the techniques and mechanisms that will give you an insider's look into the realm of game development so you can create your own amazing games just like the pros.

Sklep: Libristo.pl

### Multiple Objective and Goal Programming Physica-Verlag

**Książki / Literatura obcojęzyczna**

The book is dedicated to multi-objective methods in decision making. The first part which is devoted to theoretical aspects, covers a broad range of multi-objective methods such as multiple linear programming, vector optimisation, fuzzy goal programming, data envelopment analysis, game theory, and dynamic programming. The reader who is interested in practical applications, will find in the remaining parts a variety of approaches applied in numerous fields including production planning, logistics, marketing, and finance.

Sklep: Libristo.pl

### Dynamic Optimization and Differential Games Springer, Berlin

**Książki / Literatura obcojęzyczna**

Dynamic Optimization and Differential Games has been written to address the increasing number of Operations Research and Management Science problems that involve the explicit consideration of time and of gaming among multiple agents. With end-of-chapter exercises throughout, it is a book that can be used both as a reference and as a textbook. It will be useful as a guide to engineers, operations researchers, applied mathematicians and social scientists whose work involves both the theoretical and computational aspects of dynamic optimization and differential games. Included throughout the text are detailed explanations of several original dynamic and game-theoretic mathematical models which are of particular relevance in today s technologically-driven-global economy: revenue management, oligopoly pricing, production planning, supply chain management, dynamic traffic assignment and dynamic congestion pricing. §§The book emphasizes deterministic theory, computational tools and applications associated with the study of dynamic optimization and competition in continuous time. It develops the key results of deterministic, continuous time, optimal control theory from both the classical calculus of variations perspective and the more modern approach of infinite dimensional mathematical programming. These results are then generalized for the analysis of differential variational inequalities arising in dynamic game theory for open loop environments. Algorithms covered include steepest descent in Hilbert space, gradient projection in Hilbert space, fixed point methods, and gap function methods.

Sklep: Libristo.pl

### Applied Computational Economics and Finance MIT Press

**Książki / Literatura obcojęzyczna**

This book presents a variety of computational methods used to solve dynamic problems in economics and finance. It emphasizes practical numerical methods rather than mathematical proofs and focuses on techniques that apply directly to economic analyses. The examples are drawn from a wide range of subspecialties of economics and finance, with particular emphasis on problems in agricultural and resource economics, macroeconomics, and finance. The book also provides an extensive Web-site library of computer utilities and demonstration programs.The book is divided into two parts. The first part develops basic numerical methods, including linear and nonlinear equation methods, complementarity methods, finite-dimensional optimization, numerical integration and differentiation, and function approximation. The second part presents methods for solving dynamic stochastic models in economics and finance, including dynamic programming, rational expectations, and arbitrage pricing models in discrete and continuous time. The book uses MATLAB to illustrate the algorithms and includes a utilities toolbox to help readers develop their own computational economics applications.

Sklep: Libristo.pl

### Applied Stochastic Control of Jump Diffusions Springer, Berlin

**Książki / Literatura obcojęzyczna**

The main purpose of the book is to give a rigorous introduction to the most important and useful solution methods of various types of stochastic control problems for jump diffusions and its applications. Both the dynamic programming method and the maximum principle method are discussed, as well as the relation between them. Corresponding verification theorems involving the Hamilton-Jacobi Bellman equation and/or (quasi-)variational inequalities are formulated. The text emphasises applications, mostly to finance. All the main results are illustrated by examples and exercises appear at the end of each chapter with complete solutions. This will help the reader understand the theory and see how to apply it. The book assumes some basic knowledge of stochastic analysis, measure theory and partial differential equations.§In the 2nd edition there is a new chapter on optimal control of stochastic partial differential equations driven by Lévy processes. There is also a new section on optimal stopping with delayed information. Moreover, corrections and other improvements have been made.

Sklep: Libristo.pl

### Java How To Program (Early Objects) Prentice Hall

**Książki / Literatura obcojęzyczna**

Java How to Program (Early Objects), Tenth Edition is intended for use in the Java programming course. It also serves as a useful reference and self-study tutorial to Java programming. The Deitels' groundbreaking How to Program series offers unparalleled breadth and depth of object-oriented programming concepts and intermediate-level topics for further study. Java How to Program (Early Objects), Tenth Edition, teaches programming by presenting the concepts in the context of full working programs and takes an early-objects approach MyProgrammingLab for Java How to Program (Early Objects) is a total learning package. MyProgrammingLab is an online homework, tutorial, and assessment program that truly engages students in learning. It helps students better prepare for class, quizzes, and exams-resulting in better performance in the course-and provides educators a dynamic set of tools for gauging individual and class progress. Teaching and Learning Experience This program presents a better teaching and learning experience-for you and your students. *Personalize Learning with MyProgrammingLab: Through the power of practice and immediate personalized feedback, MyProgrammingLab helps students fully grasp the logic, semantics, and syntax of programming.*Teach Programming with the Deitels' Signature Live Code Approach: Java language features are introduced with thousands of lines of code in hundreds of complete working programs.*Introduce Objects Early: Presenting objects and classes early gets students "thinking about objects" immediately and mastering these concepts more thoroughly.*Keep Your Course Current: This edition can be used with Java SE 7 or Java SE 8, and is up-to-date with the latest technologies and advancements.*Facilitate Learning with Outstanding Applied Pedagogy: Making a Difference exercise sets, projects, and hundreds of valuable programming tips help students apply concepts. *Support Instructors and Students: Student and instructor resources are available to expand on the topics presented in the text. Note: You are purchasing a standalone product; MyProgrammingLab does not come packaged with this content. If you would like to purchase both the physical text and MyProgrammingLab search for ISBN-10: 0133813436 / ISBN-13: 9780133813432. That package includes ISBN-10: 0133807800 / ISBN-13: 9780133807806 and ISBN-10: 0133811905 / ISBN-13: 9780133811902. MyProgrammingLab is not a self-paced technology and should only be purchased when required by an instructor.

Sklep: Libristo.pl

### Java How To Program (early objects): Global Edition PEARSON

**Książki / Literatura obcojęzyczna**

Intended for use in the Java programming course The Deitels' groundbreaking How to Program series offers unparalleled breadth and depth of object-oriented programming concepts and intermediate-level topics for further study. Java How to Program (Early Objects), Tenth Edition, teaches programming by presenting the concepts in the context of full working programs and takes an early-objects approach MyProgrammingLab for Java How to Program (Early Objects) is a total learning package. MyProgrammingLab is an online homework, tutorial, and assessment program that truly engages students in learning. It helps students better prepare for class, quizzes, and exams-resulting in better performance in the course-and provides educators a dynamic set of tools for gauging individual and class progress. Teaching and Learning Experience This program presents a better teaching and learning experience-for you and your students. *Personalize Learning with MyProgrammingLab: Through the power of practice and immediate personalized feedback, MyProgrammingLab helps students fully grasp the logic, semantics, and syntax of programming. *Teach Programming with the Deitels' Signature Live Code Approach: Java language features are introduced with thousands of lines of code in hundreds of complete working programs. *Introduce Objects Early: Presenting objects and classes early gets students "thinking about objects" immediately and mastering these concepts more thoroughly. *Keep Your Course Current: This edition can be used with Java SE 7 or Java SE 8, and is up-to-date with the latest technologies and advancements. *Facilitate Learning with Outstanding Applied Pedagogy: Making a Difference exercise sets, projects, and hundreds of valuable programming tips help students apply concepts. *Support Instructors and Students: Student and instructor resources are available to expand on the topics presented in the text.

Sklep: Libristo.pl

### Simulation-Based Optimization Springer, Berlin

**Książki / Literatura obcojęzyczna**

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduces the evolving area of simulation-based optimization. Since it became possible to analyze random systems using computers, scientists and engineers have sought the means to optimize systems using simulation models. Only recently, however, has this objective had success in practice. Cutting-edge work in computational operations research, including non-linear programming (simultaneous perturbation), dynamic programming (reinforcement learning), and game theory (learning automata) has made it possible to use simulation in conjunction with optimization techniques. As a result, this research has given simulation added dimensions and power that it did not have in the recent past.§The book's objective is two-fold: (1) It examines the mathematical governing principles of simulation-based optimization, thereby providing the reader with the ability to model relevant real-life problems using these techniques. (2) It outlines the computational technology underlying these methods. Taken together these two aspects demonstrate that the mathematical and computational methods discussed in this book do work. Broadly speaking, the book has two parts: (1) parametric (static) optimization and (2) control (dynamic) optimization. Some of the book's special features are: An accessible introduction to reinforcement learning and parametric-optimization techniques. A step-by-step description of several algorithms of simulation-based optimization. A clear and simple introduction to the methodology of neural networks. A gentle introduction to convergence analysis of some of the methods enumerated above. Computer programs for many algorithms of simulation-based optimization. This book is written for students and researchers in the fields of engineering (electrical, industrial and computer), computer science, operations research, management science, and applied mathematics. Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduces the evolving area of simulation-based optimization. §The book's objective is two-fold: (1) It examines the mathematical governing principles of simulation-based optimization, thereby providing the reader with the ability to model relevant real-life problems using these techniques. (2) It outlines the computational technology underlying these methods. Taken together these two aspects demonstrate that the mathematical and computational methods discussed in this book do work. Broadly speaking, the book has two parts: (1) parametric (static) optimization and (2) control (dynamic) optimization. Some of the book's special features are: An accessible introduction to reinforcement learning and parametric-optimization techniques. A step-by-step description of several algorithms of simulation-based optimization. A clear and simple introduction to the methodology of neural networks. A gentle introduction to convergence analysis of some of the methods enumerated above. Computer programs for many algorithms of simulation-based optimization.

Sklep: Libristo.pl

### Software development process Books LLC, Reference Series

**Książki / Literatura obcojęzyczna**

Source: Wikipedia. Pages: 167. Chapters: Waterfall model, Computer programming, Extreme Programming, Capability Maturity Model, Software testing, Software architecture, Code and fix, Revision control, Spiral model, Iterative and incremental development, Software release life cycle, Dynamic Systems Development Method, Meta-process modeling, Agile software development, Domain-specific multimodeling, Feature Driven Development, Software development methodology, Scrum, SAP Implementation, Test-driven development, Stage-gate model, Requirements analysis, CCU Delivery, Traceability matrix, Systems Development Life Cycle, Capability Maturity Model Integration, Dual Vee Model, IBM Tivoli Unified Process, ISO/IEC 15504, DevOps, Rapid application development, Lean software development, Extreme programming practices, Joint application design, Software maintenance, Personal Software Process, Cap Gemini SDM, V-Model, IBM Rational Unified Process, ISO 12207, Eating your own dog food, Domain engineering, Product software implementation method, AspectJ, Rolling release, Software design, Critical path method, Information engineering, P-Modeling Framework, Macroscope, Software deployment, Jackson System Development, Goal-Driven Software Development Process, Best Coding Practices, Sandbox, Functional specification, Applied Agile Software Development, Application lifecycle management, Mps.br, User experience design, Release engineering, Package development process, Endeavour Software Project Management, Parasoft Concerto, Accelerator, Enterprise Unified Process, Big Design Up Front, Agile Unified Process, ICONIX, Cleanroom Software Engineering, Eclipse Buckminster, Process-centered design, LeanCMMI, Outside-in software development, INVEST, Chaos model, Test Double, Modular Approach to Software Construction Operation and Test, RUP hump, Very Rapid application development, Google Guice, Wheel and spoke model, MBASE, CodeBeamer, Software Engineering Process Group, Velocity, Software intelligence, Team Software Process, Egoless programming, Evolutionary Process for Integrating COTS-Based Systems, Pulse, Adaptive Software Development, Eclipse Process Framework, Redesign, Process Driven Development, Sprint, Trustworthy Computing Security Development Lifecycle, Modified waterfall models, RATF, Process specification, Development environment, OpenUP/Basic, Crystal Clear, Merise, Monitoring Maintenance Lifecycle, Wagile software development, Lightweight methodology, Reversion, Essential Unified Process, Maintenance release, Narrative designer, Incremental build model, Change control board, Lower level design, Iterfall development, Rationally Adaptive Process, Envirostructure, NMock. Excerpt: Software testing is an investigation conducted to provide stakeholders with information about the quality of the product or service under test. Software testing also provides an objective, independent view of the software to allow the business to appreciate and understand the risks of software implementation. Test techniques include, but are not limited to, the process of executing a program or application with the intent of finding software bugs (errors or other defects). Software testing can also be stated as the process of validating and verifying that a software program/application/product: Software testing, depending on the testing method employed, can be implemented at any time in the development process. However, most of the test effort occurs after the requirements have ...

Sklep: Libristo.pl

### Introduction to Optimization Springer, Berlin

**Książki / Literatura obcojęzyczna**

This undergraduate textbook introduces students of science and §engineering to the fascinating field of optimization. It is a unique §book that brings together the subfields of mathematical programming, §variational calculus, and optimal control, thus giving students an §overall view of all aspects of optimization in a single reference. As §a primer on optimization, its main goal is to provide a succinct and §accessible introduction to linear programming, nonlinear programming, §numerical optimization algorithms, variational problems, dynamic §programming, and optimal control. Prerequisites have been kept to a §minimum, although a basic knowledge of calculus, linear algebra, and §differential equations is assumed. §There are numerous examples, illustrations, and exercises throughout §the text, making it an ideal book for self-study. Applied §mathematicians, physicists, engineers, and scientists will all find §this introduction to optimization extremely useful.

Sklep: Libristo.pl

### Simulation-Based Optimization Springer, Berlin

**Książki / Literatura obcojęzyczna**

Simulation-based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduces the evolving area of static and dynamic simulation-based optimization. Covered in detail are model-free optimization techniques especially designed for those discrete-event, stochastic systems which can be simulated but whose analytical models are difficult to find in closed mathematical forms. Key features of this revised and improved Second Edition include: Extensive coverage, via step-by-step recipes, of powerful new algorithms for static simulation optimization, including simultaneous perturbation, backtracking adaptive search and nested partitions, in addition to traditional algorithms, such as response surfaces, Nelder-Mead search, and meta-heuristics (simulated annealing, tabu search, and genetic algorithms) Detailed coverage of the Bellman equation framework for Markov Decision Processes (MDPs), along with dynamic programming (value and policy iteration) for discounted, average, and total reward performance metrics An in-depth consideration of dynamic simulation optimization via temporal differences and Reinforcement Learning: Q-Learning, SARSA and R-SMART algorithms and policy search, via API, Q-P-Learning, actor-critics and learning automata A special examination of neural-network-based function approximation for Reinforcement Learning, semi-Markov decision processes (SMDPs), finite-horizon problems, case studies for industrial tasks, computer codes (placed online) and convergence proofs, via Banach fixed point theory and Ordinary Differential Equations Themed around three areas in separate sets of chapters Static Simulation Optimization, Reinforcement Learning, and Convergence Analysis this book is written for researchers and students in the fields of engineering (industrial, systems, electrical and computer), operations research, computer science and applied mathematics.

Sklep: Libristo.pl

### Integrated Design Analysis and Control of An HEXAPOD LAP Lambert Academic Publishing

**Książki / Literatura obcojęzyczna**

In this study, the aim is to implement integration of design analysis and control procedures of an hexapod planned to use medical operations whereas required micro positioning. Hexapods with their high accuracy, high stiffness and dynamic properties are widely used parallel robots in such areas, medical, aviation, astronomy. In this study a method is developed to integrate all required engineering procedures for design and control of robots and applied to hexapod. In solid modeling SolidWorks (Dassault Systems, 2007), in machine dynamics analysis, CosmosMotion, in finite element rigidity analysis CosmosWorks software packages and in motor control software of ADLINK company are used. With VisualBasic software package integration is established by using API ( Application programming interface ) of software and ActiveX control properties. Using this method parametric modeling software is developed and hexapod prototype is designed, then manufactured. Again with this method point to point and trajectory motion control software is developed. In addition in this study a mechanical solution for reducing backlash has been designed and applied to the prototype.

Sklep: Libristo.pl

### Adaptive Model Predictive Control in the Inventory Control Problem LAP Lambert Academic Publishing

**Książki / Literatura obcojęzyczna**

The present thesis aims to develop and to analyze methods and algorithms to control uncertain systems. The methods developed are based on control and optimization theory. Model Predictive Control, Large Deviations, Approximate Dynamic Programming and Robust Optimization are applied, extended and combined to face the challenges presented in the application of such methods in real-world problems. In particular, the algorithms developed have been applied to supply chain systems. A supply chain is composed by several business units working together to match the market demand of a product. Despite several economic and cultural changes, (i.e. low production cost, international outsourcing...) the main goal of a supply chain networks is to procure raw materials and transform them into final products. This involves the automation of several processes: material and information flows, and relationships between supplier and customers. To reach these objective the management of a supply chain has to take several decisions and to supervise and to control several facilities.

Sklep: Libristo.pl

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Sklepy zlokalizowane w miastach: Warszawa, Kraków, Łódź, Wrocław, Poznań, Gdańsk, Szczecin, Bydgoszcz, Lublin, Katowice

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