In mathematics, there are two different notions of semi-inner-product. The first, and more common, is that of an inner product which is not required to be strictly positive. This article will deal with the second, called a L-semi-inner product or semi-inner product in the sense of Lumer, which is an inner product not required to be conjugate symmetric. It was formulated by Günter Lumer, for the purpose of extending Hilbert space type arguments to Banach spaces in functional analysis. Fundamental properties were later explored by Giles. (Wikipedia).
Inner products (video 3): Definition
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From playlist Inner Products
Inner Products (video 7): Unconventional Inner Products
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Inner Products (video 4): Lengths and Distances, Part 1/2
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(ML 19.6) Inner products and PSD kernels
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Inner products (video 8): Outro
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Decomposition by Inner Product in the Underdetermined Case and Least Squares
https://bit.ly/PavelPatreon https://lem.ma/LA - Linear Algebra on Lemma http://bit.ly/ITCYTNew - Dr. Grinfeld's Tensor Calculus textbook https://lem.ma/prep - Complete SAT Math Prep
From playlist Part 4 Linear Algebra: Inner Products
(ML 19.8) Proof that a product of PSD kernels is a PSD kernel
What the title says.
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Jesse Peterson: Von Neumann algebras and lattices in higher-rank groups, Lecture 1
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From playlist Part 4 Linear Algebra: Inner Products
Chi-Wang Shu: Stability of time discretizations for semi-discrete high order schemes for...
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A Framework for Quadratic Form Maximization over Convex Sets -Vijay Bhattiprolu
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Inner Products (video 6): Angles and Orthogonality
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Factorization through L2, Rounding and Duality - Vijay Bhattiprolu
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Factorization through L2, Rounding and Duality Part 2 - Vijay Bhattiprolu
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From playlist Mathematics
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Inner Products (video 2): Dot Product
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From playlist Inner Products