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| | Linear Programming and Network Flows
Linear Programming deals with the problem of minimizing or maximizing a
linear function in the presence of linear inequalities. Since the development of
the simplex method by George B. Dantzig in 1947, linear programming has been
extensively used in the military, industrial, governmental, and urban planning
fields, among others. The... | | Elasticity, Third Edition: Theory, Applications, and Numerics
Elasticity: Theory, Applications, and Numerics, Third Edition, continues its market-leading tradition of concisely presenting and developing the linear theory of elasticity, moving from solution methodologies, formulations, and strategies into applications of contemporary interest, such as fracture mechanics, anisotropic and composite... |
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| | Bayesian Reasoning and Machine Learning
We live in a world that is rich in data, ever increasing in scale. This data comes from many dierent
sources in science (bioinformatics, astronomy, physics, environmental monitoring) and commerce (customer
databases, nancial transactions, engine monitoring, speech recognition, surveillance, search). Possessing
the knowledge as to... | | Mastering .NET Machine Learning
About This Book
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Based on .NET framework 4.6.1, includes examples on ASP.NET Core 1.0
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Set up your business application to start using machine learning techniques
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Familiarize the user with some of the more common .NET libraries for machine learning
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Implement...
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