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Related lectures (31)
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Introduction to Convexity
Introduces the key concepts of convexity and its applications in different fields.
KKT Conditions: Convex Optimization
Explores KKT conditions in convex optimization, covering dual cones, properties, generalized inequalities, and optimality conditions.
Subgradients and Convex Functions
Explores subgradients in convex functions, emphasizing non-differentiable yet convex scenarios and properties of subdifferentials.
Standard Properties: Distance and Norm
Covers the standard properties of distance and norm in vector spaces.
Measure Spaces: Integration and Inequalities
Covers measure spaces, integration, Radon-Nikodym property, and inequalities like Jensen, Hölder, and Minkowski.
Quantum Information Principles
Covers the mathematical principles of quantum physics, including Hilbert spaces and quantum bits.
Linear Operators: Boundedness and Spaces
Explores linear operators, boundedness, and vector spaces with a focus on verifying bounded aspects.
Hilbert Spaces: Definition and Properties
Covers the definition and properties of Hilbert spaces, including the Cauchy-Schwarz inequality and norm definition.
Information Measures
Covers information measures like entropy, Kullback-Leibler divergence, and data processing inequality, along with probability kernels and mutual information.
Inequality Resolution: x + 4 / 2x + 1
Focuses on solving an inequality using a sign table method.