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Modeling Reality with Mathematics

MATLAB and Simulink Crash Course for Engineers

Computer Vision : Statistical Models for Marr's Paradigm

Statistical Field Theory for Neural Networks

Emotion and Information Processing : A Practical approach

Classical and Quantum Dynamics : From Classical Paths to Path Integrals

Measuring Professional Competence for the Teaching of Mathematical Modelling : A Test Instrument

Unsupervised Learning in Space and Time : A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks

Modeling Reality with Mathematics

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Pyomo — Optimization Modeling in Python

Novel Mathematics Inspired by Industrial Challenges

Recent Advances in Industrial and Applied Mathematics

Stochastic Benchmarking : Theory and Applications

Physics with Excel and Python : Using the Same Data Structure Volume I: Basics, Exercises and Tasks

Chaos : An Introduction for Applied Mathematicians

Effective Statistical Learning Methods for Actuaries II : Tree-Based Methods and Extensions

Numerical Methods for Processes in Fractured Porous Media

Traffic and Granular Flow '17

Interdisciplinary Perspectives on Math Cognition

Inverse Problems : Basics, Theory and Applications in Geophysics

Deep Learning Applications for Cyber Security

Theory and Technology of Roll Stamping

Applied Physics, System Science and Computers III : Proceedings of the 3rd International Conference on Applied Physics, System Science and Computers (APSAC2018), September 26-28, 2018, Dubrovnik, Croatia

Crowd Dynamics, Volume 2 : Theory, Models, and Applications

Nanoelectronic Coupled Problems Solutions

Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems

Advances in Energy System Optimization : Proceedings of the 2nd International Symposium on Energy System Optimization

Advanced Analytics in Mining Engineering : Leverage Advanced Analytics in Mining Industry to Make Better Business Decisions

Partition Functions and Automorphic Forms

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