Modelling Operations Research and Business Analytics, Fox, William P ; Burks, Robert E

Автор: Strang Gilbert
Название: Linear Algebra and Learning from Data
ISBN: 0692196382 ISBN-13(EAN): 9780692196380
Издательство: Cambridge Academ
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Цена: 9978.00 р.
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Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.

Автор: Richard J Boucherie, Aleida Braaksma, Henk Tijms
Название: Operations Research: Introduction to Models and Methods
ISBN: 9811239819 ISBN-13(EAN): 9789811239816
Издательство: World Scientific Publishing
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Цена: 8712.00 р.
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Описание:

This attractive textbook with its easy-to-follow presentation provides a down-to-earth introduction to operations research for students in a wide range of fields such as engineering, business analytics, mathematics and statistics, computer science, and econometrics. It is the result of many years of teaching and collective feedback from students.

The book covers the basic models in both deterministic and stochastic operations research and is a springboard to more specialized texts, either practical or theoretical. The emphasis is on useful models and interpreting the solutions in the context of concrete applications.

The text is divided into several parts. The first three chapters deal exclusively with deterministic models, including linear programming with sensitivity analysis, integer programming and heuristics, and network analysis. The next three chapters primarily cover basic stochastic models and techniques, including decision trees, dynamic programming, optimal stopping, production planning, and inventory control. The final five chapters contain more advanced material, such as discrete-time and continuous-time Markov chains, Markov decision processes, queueing models, and discrete-event simulation.

Each chapter contains numerous exercises, and a large selection of exercises includes solutions.

Название: Operations management and data analytics modelling
ISBN: 0367754517 ISBN-13(EAN): 9780367754518
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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Описание: Operations Management and Data Analytics Modelling: Economic Crises Perspective addresses real operation management problems in thrust areas like the healthcare and energy management sectors and Industry 4.0.It discusses recent advances and trends in developing data-driven operation management-based methodologies, big data analysis, application of computers in industrial engineering, optimization techniques, development of decision support systems for industrial operation, the role of a multiple-criteria decision-making (MCDM) approach in operation management, fuzzy set theory-based operation management modelling and Lean Six Sigma.FeaturesDiscusses the importance of data analytics in industrial operations to improve economyProvides step-by-step implementation of operation management models to identify best practicesCovers in-depth analysis using data-based operation management tools and techniquesDiscusses mathematical modelling for novel operation management models to solve industrial problemsThis book is aimed at graduate students and professionals in the field of industrial and production engineering, mechanical engineering and materials science.

Автор: Fox, William P ; Burks, Robert E
Название: Modelling Operations Research and Business Analytics
ISBN: 1032735929 ISBN-13(EAN): 9781032735924
Издательство: Taylor&Francis
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Цена: 7348.00 р.
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Автор: Edited By P.N. Belkhode, J.P. Modak, V. Vidyasagar
Название: Mathematical modelling and simulation :
ISBN: 0367676354 ISBN-13(EAN): 9780367676353
Издательство: Taylor&Francis
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Цена: 25265.00 р.
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Описание: This book explains the concept of man-machine systems by using the mining industry. The goal is to use a mathematical model based approach to improve the quality of human life of the workers and operators with the enhancement of productivity by controlling the process variables.

Автор: Gautam M. Appa; Leonidas Pitsoulis; H. Paul Willia
Название: Handbook on Modelling for Discrete Optimization
ISBN: 144194107X ISBN-13(EAN): 9781441941077
Издательство: Springer
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Цена: 25853.00 р.
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Описание: This book demonstrates and details the pervasive nature of Discrete Optimization. While the subject`s applications cut across an incredibly wide range of activities, many of the applications are only known to specialists. This handbook aims to correct this.

Автор: Peter J. Haas
Название: Stochastic Petri Nets
ISBN: 1441930019 ISBN-13(EAN): 9781441930019
Издательство: Springer
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Цена: 12571.00 р.
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Автор: Kessels
Название: Traffic Flow Modelling
ISBN: 3319786946 ISBN-13(EAN): 9783319786940
Издательство: Springer
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Цена: 8384.00 р.
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Описание: This book introduces readers to the main traffic flow modelling approaches and discusses their features and applications.

Автор: Fox, William P , Bauldry, William
Название: Advanced Problem Solving Using Maple
ISBN: 113860187X ISBN-13(EAN): 9781138601871
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание: The advanced text covers dynamical systems, single variable and multi-variable optimization, linear algebra, advanced model fitting techniques, game theory, and multi-attribute decision processes.

Автор: Evans, Gerald W. (university Of Louisville, Kentucky, Usa)
Название: Multiple objective analytics for criminal justice systems
ISBN: 0367517345 ISBN-13(EAN): 9780367517342
Издательство: Taylor&Francis
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Цена: 7961.00 р.
Наличие на складе: Нет в наличии.

Описание: Criminal justice systems are complex and difficult to design and operate. This is due to their many interacting parts, and dynamic and probabilistic nature, as well as their interfaces with other systems. This book reviews the use of analytics to address issues in criminal justice systems and the various data sources.

Название: Data science and productivity analytics
ISBN: 3030433838 ISBN-13(EAN): 9783030433833
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Chapter 1. Data Envelopment Analysis and Big Data: Revisit with a Faster Method.- Chapter 2. Data Envelopment Analysis (DEA): Algorithms, Computations, and Geometry.- Chapter 3. An Introduction to Data Science and Its Applications: an Introduction to Data Science and Its Applications.- Chapter 4. Identification of Congestion in DEA.- Chapter 5. Data Envelopment Analysis and Non-Parametric Analysis.- Chapter 6. The Measurement of Firms' Efficiency Using Parametric Techniques.- Chapter 7. Fair Target Setting for Intermediate Products in Two-Stage Systems With Data Envelopment Analysis.- Chapter 8. Fixed Cost and Resource Allocation Considering Technology Heterogeneity in Two-Stage Network Production Systems.- Chapter 9.Efficiency Assessment of Schools Operating in Heterogeneous Contexts: A Robust Nonparametric Analysis Using Pisa 2015.- Chapter 10. A DEA Analysis in Latin-American Ports: Measuring the Performance of Guayaquil Contecon Port.- Chapter 11. Effects of Locus of Control on Bank's Policy - a Case Study of a Chinese State Owned Bank.- Chapter 12. A Data Scientific Approach to Measure Hospital Productivity.- Chapter 13. Environmental Application of Carbon Abatement Allocation by Data Envelopment Analysis.- Chapter 14. Pension Funds and Mutual Funds Performance Measurement With a New DEA (Mv-DEA) Model Allowing for Missing Variables.- Chapter 15. Sharpe Portfolio Using a Cross-Efficiency Evaluation.

Автор: Doumpos Michael, Zopounidis Constantin, Grigoroudis Evangelos
Название: Robustness Analysis in Decision Aiding, Optimization, and Analytics
ISBN: 331981432X ISBN-13(EAN): 9783319814322
Издательство: Springer
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Цена: 20962.00 р.
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Описание: SMAA in Robustness Analysis.- Data-driven Robustness Analysis for Multicriteria Classification Problems Using Preference Disaggregation Approaches.- Robustness for Adversarial Risk Analysis.- From Statistical Decision Theory to Robust Optimization: A Maximin Perspective on Robust Decision-Making.- The State of Robust Optimization.- Robust Discrete Optimization under Discrete and Interval Uncertainty - A Survey.- Performance Analysis in Robust Optimization.- Robust-Soft Solutions in Linear Optimization Problems with Fuzzy Parameters.- Robust Machine Scheduling Based on Group of Permutable Jobs.- How Robust is a Robust Policy? Comparing Alternative Robustness Metrics for Robust Decision-making.- Developing Robust Climate Policies: A Fuzzy Cognitive Map Approach.- Robust Optimization Approaches to Single Period Portfolio Allocation Problem.- Portfolio Optimization with Second-Order Stochastic Dominance Constraints and Portfolios Dominating Indices.- Robust DEA Approaches to Performance Evaluation of Olive Oil Production under Uncertainty.