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Introduction to Systems Analysis: Mathematically Modeling Natural Systems

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Systems and their mathematical description play an important role in all branches of science. This book offers an introduction to mathematical modeling techniques. It is intended for undergrad students in applied natural science, in particular earth and environmental science, environmental engineering, as well as ecology, environmental chemistry, chemical engineering, agronomy, and forestry.

 The focus is on developing the basic methods of modeling. Students will learn how to build mathematical models of their own, but also how to analyze the properties of existing models. The book neither derives mathematical formulae, nor does it describe modeling software, instead focusing on the fundamental concepts behind mathematical models. A formulary in the appendix summarizes the necessary mathematical knowledge. To support independent learners, numerous examples and problems from various scientific disciplines are provided throughout the book. Thanks in no small part to the cartoons by Nikolas Stürchler, this introduction to the colorful world of modeling is both entertaining and rich in content

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Core Techniques and Algorithms in Game Programming
Core Techniques and Algorithms in Game Programming

To even try to keep pace with the rapid evolution of game development, you need a strong foundation in core programming techniques-not a hefty volume on one narrow topic or one that devotes itself to API-specific implementations. Finally, there's a guide that delivers! As a professor at the Spanish university that offered...

Integrating Routing Decisions in Public Transportation Problems (Springer Optimization and Its Applications)
Integrating Routing Decisions in Public Transportation Problems (Springer Optimization and Its Applications)

This book treats three planning problems arising in public railway transportation planning: line planning, timetabling, and delay management, with the objective to minimize passengers’ travel time. While many optimization approaches simplify these problems by assuming that passengers’ route choice is independent of the solution,...

Artificial Intelligence: Structures and Strategies for Complex Problem Solving, Third Edition
Artificial Intelligence: Structures and Strategies for Complex Problem Solving, Third Edition
Combines the theoretical foundations of intelligent problem-solving with he data structures and algorithms needed for its implementation. The book presents logic, rule, object and agent-based architectures, along with example programs written in LISP and PROLOG. The practical applications of AI have been kept within the context of its broader goal:...

Machine Learning with Spark - Tackle Big Data with Powerful Spark Machine Learning Algorithms
Machine Learning with Spark - Tackle Big Data with Powerful Spark Machine Learning Algorithms

Key Features

  • Follow real-world examples to learn how to develop your own machine learning systems with Spark
  • A practical tutorial with real-world use cases allowing you to develop your own machine learning systems with Spark
  • Combine various techniques and models into an intelligent machine...
Rock, Paper, Scissors: Game Theory in Everyday Life
Rock, Paper, Scissors: Game Theory in Everyday Life
“Physicist and Ig Nobel Prize–winner Fisher explores how game theory illuminates social behavior in this lively study…. Fisher does succeed in making the complex nature of game theory accessible and relevant, showing how mathematics applies to the dilemmas we face on a daily basis.”

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Nonlinear Estimation and Control of Automotive Drivetrains
Nonlinear Estimation and Control of Automotive Drivetrains

Nonlinear Estimation and Control of Automotive Drivetrains discusses the control problems involved in automotive drivetrains, particularly in hydraulic Automatic Transmission (AT), Dual Clutch Transmission (DCT) and Automated Manual Transmission (AMT). Challenging estimation and control problems, such as driveline torque estimation and...

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