Random Order

Random Order
Author :
Publisher : MIT Press
Total Pages : 444
Release :
ISBN-10 : 0262100991
ISBN-13 : 9780262100991
Rating : 4/5 (91 Downloads)

Synopsis Random Order by : Branden Wayne Joseph

An examination of the artistic development of Robert Rauschenberg, focusing on his relationship with John Cage and his role in the making of the American neo-avant-garde.

What Is Random?

What Is Random?
Author :
Publisher : Springer Nature
Total Pages : 192
Release :
ISBN-10 : 9781071607992
ISBN-13 : 1071607995
Rating : 4/5 (92 Downloads)

Synopsis What Is Random? by : Edward Beltrami

In this fascinating book, mathematician Ed Beltrami takes a close enough look at randomness to make it mysteriously disappear. The results of coin tosses, it turns out, are determined from the start, and only our incomplete knowledge makes them look random. "Random" sequences of numbers are more elusive, but Godels undecidability theorem informs us that we will never know. Those familiar with quantum indeterminacy assert that order is an illusion, and that the world is fundamentally random. Yet randomness is also an illusion. Perhaps order and randomness, like waves and particles, are only two sides of the same (tossed) coin.

Surveys in Combinatorics, 1993

Surveys in Combinatorics, 1993
Author :
Publisher : Cambridge University Press
Total Pages : 299
Release :
ISBN-10 : 9780521448574
ISBN-13 : 0521448573
Rating : 4/5 (74 Downloads)

Synopsis Surveys in Combinatorics, 1993 by : Keith Walker

This volume contains the invited papers presented at the 14th British Combinatorial Conference, held at the University of Keele in July 1993.

Randomized Algorithms

Randomized Algorithms
Author :
Publisher : Cambridge University Press
Total Pages : 496
Release :
ISBN-10 : 9781139643139
ISBN-13 : 1139643134
Rating : 4/5 (39 Downloads)

Synopsis Randomized Algorithms by : Rajeev Motwani

For many applications a randomized algorithm is either the simplest algorithm available, or the fastest, or both. This tutorial presents the basic concepts in the design and analysis of randomized algorithms. The first part of the book presents tools from probability theory and probabilistic analysis that are recurrent in algorithmic applications. Algorithmic examples are given to illustrate the use of each tool in a concrete setting. In the second part of the book, each of the seven chapters focuses on one important area of application of randomized algorithms: data structures; geometric algorithms; graph algorithms; number theory; enumeration; parallel algorithms; and on-line algorithms. A comprehensive and representative selection of the algorithms in these areas is also given. This book should prove invaluable as a reference for researchers and professional programmers, as well as for students.

Topics in Mathematical Economics and Game Theory

Topics in Mathematical Economics and Game Theory
Author :
Publisher : American Mathematical Soc.
Total Pages : 306
Release :
ISBN-10 : 0821805258
ISBN-13 : 9780821805251
Rating : 4/5 (58 Downloads)

Synopsis Topics in Mathematical Economics and Game Theory by : Robert J. Aumann

Since the publication of "Theory of Games and Economic Behavior" by von Neumann and Morgenstern, the concept of games has played an increasing role in economics. It also plays a role of growing importance in other sciences, including biology, political science, and psychology. Many scientists have made seminal advances and continue to be leaders in the field, including Harsanyi, Shapley, Shubik, and Selten. Professor Robert Aumann, in addition to his important contributions to game theory and economics, made a number of significant contributions to mathematics. This volume provides a collection of essays in mathematical economics and game theory, including cutting-edge research on noncooperative game theory and its foundations, bargaining theory, and general equilibrium theory. Also included is a reprint of Aumann's classic paper, "Acceptable Points in General Cooperative n-Person Games" and of the oft-cited, yet hard to find, paper by Maschler, "The Worth of a Cooperative Enterprise to Each Member". This book illustrates the wide range of applications of mathematics to economics, game theory, and social choice. The volume is dedicated to Professor Robert J. Aumann, Hebrew University, Jerusalem, Israel, for his contributions in mathematics and social sciences.

Maximizing .NET Performance

Maximizing .NET Performance
Author :
Publisher : Apress
Total Pages : 291
Release :
ISBN-10 : 9781430207849
ISBN-13 : 1430207841
Rating : 4/5 (49 Downloads)

Synopsis Maximizing .NET Performance by : Nick Wienholt

* Full analysis of performance characteristics of the .NET Framework, including actual benchmark results * Information on the internals of the .NET Framework and exposure to the various elements that make up the .NET Framework * Description of tools and techniques for identifying performance problems developers may encounter * References to sources of further information on various performance topics * Written by a Microsoft MVP in a technically unique style and of the highest quality

Algorithms and Complexity

Algorithms and Complexity
Author :
Publisher : Springer
Total Pages : 300
Release :
ISBN-10 : 9783540448495
ISBN-13 : 3540448497
Rating : 4/5 (95 Downloads)

Synopsis Algorithms and Complexity by : Rosella Petreschi

This book constitutes the refereed proceedings of the 5th Italian Conference on Algorithms and Computation, CIAC 2003, held in Rome, Italy in May 2003.The 23 revised full papers presented were carefully reviewed and selected from 57 submissions. Among the topics addressed are complexity, complexity theory, geometric computing, matching, online algorithms, combinatorial optimization, computational graph theory, approximation algorithms, network algorithms, routing, and scheduling.

A Guide to Six Sigma and Process Improvement for Practitioners and Students

A Guide to Six Sigma and Process Improvement for Practitioners and Students
Author :
Publisher : FT Press
Total Pages : 515
Release :
ISBN-10 : 9780133925456
ISBN-13 : 0133925455
Rating : 4/5 (56 Downloads)

Synopsis A Guide to Six Sigma and Process Improvement for Practitioners and Students by : Howard S. Gitlow

Master modern Six Sigma implementation with the most complete, up-to-date guide for Green Belts, Black Belts, Champions and students! Now fully updated with the latest lean and process control applications, A Guide to Lean Six Sigma and Process Improvement for Practitioners and Students, Second Edition gives you a complete executive framework for understanding quality and implementing Lean Six Sigma. Whether you're a green belt, black belt, champion, or student, Howard Gitlow and Richard Melnyck cover all you need to know. Step by step, they systematically walk you through the five-step DMAIC implementation process, with detailed examples and many real-world case studies. You'll find practical coverage of Six Sigma statistics and management techniques, from dashboards and control charts to hypothesis testing and experiment design. Drawing on their extensive experience consulting on Six Sigma and leading major Lean and quality initiatives, Gitlow and Melnyck offer up-to-date coverage of: What Six Sigma can do, and how to manage it effectively Six Sigma roles, responsibilities, and terminology Running Six Sigma programs with Dashboards and Control Charts Mastering each DMAIC phase: Define, Measure, Analyze, Improve, Control Understanding foundational Six Sigma statistics: probability, probability distributions, sampling distributions, and interval estimation Pursuing Six Sigma Champion or Green Belt Certification, and more This guide will be an invaluable resource for everyone who is currently involved in Six Sigma implementation, or plans to be. It's ideal for students in quality programs; "Green Belts" who project manage Six Sigma implementations, "Black Belts" who lead Six Sigma teams; "Champions" who promote and coordinate Six Sigma at the executive level; and anyone seeking Six Sigma certification.

Financial Modeling with Crystal Ball and Excel

Financial Modeling with Crystal Ball and Excel
Author :
Publisher : John Wiley & Sons
Total Pages : 342
Release :
ISBN-10 : 9781118240052
ISBN-13 : 1118240057
Rating : 4/5 (52 Downloads)

Synopsis Financial Modeling with Crystal Ball and Excel by : John Charnes

Updated look at financial modeling and Monte Carlo simulation with software by Oracle Crystal Ball This revised and updated edition of the bestselling book on financial modeling provides the tools and techniques needed to perform spreadsheet simulation. It answers the essential question of why risk analysis is vital to the decision-making process, for any problem posed in finance and investment. This reliable resource reviews the basics and covers how to define and refine probability distributions in financial modeling, and explores the concepts driving the simulation modeling process. It also discusses simulation controls and analysis of simulation results. The second edition of Financial Modeling with Crystal Ball and Excel contains instructions, theory, and practical example models to help apply risk analysis to such areas as derivative pricing, cost estimation, portfolio allocation and optimization, credit risk, and cash flow analysis. It includes the resources needed to develop essential skills in the areas of valuation, pricing, hedging, trading, risk management, project evaluation, credit risk, and portfolio management. Offers an updated edition of the bestselling book covering the newest version of Oracle Crystal Ball Contains valuable insights on Monte Carlo simulation—an essential skill applied by many corporate finance and investment professionals Written by John Charnes, the former finance department chair at the University of Kansas and senior vice president of global portfolio strategies at Bank of America, who is currently President and Chief Data Scientist at Syntelli Solutions, Inc. Risk Analytics and Predictive Intelligence Division (Syntelli RAPID) Engaging and informative, this book is a vital resource designed to help you become more adept at financial modeling and simulation.