Preface.- 1 Linear Algebra and Optimization: An Introduction.- 2 Linear Transformations and Linear Systems.- 3 Eigenvectors and Diagonalizable Matrices.- 4 Optimization Basics: A Machine Learning View.- 5 Advanced Optimization Solutions.- 6 Constrained Optimization and Duality.- 7 Singular Value Decomposition.- 8 Matrix Factorization.- 9 The Linear Algebra of Similarity.- 10 The Linear Algebra of Graphs.- 11 Optimization in Computational Graphs.- Index.
A Textbook
- ISBN:
- 9783030403430
- 9783030403430
- Category:
- Computer networking & communications
- Format:
- Hardback
- Publication Date:
- 03-06-2020
- Language:
- English
- Publisher:
- Springer International Publishing AG
- Country of origin:
- Switzerland
- Dimensions (mm):
- 254x178mm
- Weight:
- 1.18kg
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