“Smooth signal functions” in Haskell
-
Updated
Mar 7, 2017 - Haskell
“Smooth signal functions” in Haskell
Methods for analysis of gene set enrichments, pathway analysis, gene ontologies, functional analysis of metabolomic profiling & understanding correlations and coexpression networks.
🖥️ Laboratory works on the course "User Interface Development"
GeneSCF moved to a dedicated GitHub page, https://github.com/genescf/GeneSCF
Harvard Spring 2020 Math 110 Vector Space Methods for ODEs (Christian Brennecke)
Given the metric space C([-1,1]) (continuous functions on the closed interval [-1,1]) with the norm of the maximum. This code checks with the help of a color map, if a given function sequence is or not a Cauchy sequence in C([-1,1]).
Principal Component Analysis of surfaces, i.e. functions defined on a bivariate domain.
A project for my functional analysis course applied on Dirichlet equation
Functional analysis notes (in Russian, St. Petersburg Polytechnic State University)
Functional Analysis and Quantum Information Theory at LNU
Apuntes de Ingeniería Civil Matemática, con electivos en Computación y Aprendizaje.
Neural networks designed for operator-valued functional learning problems.
Genome-wide gene gain/loss mapping tool using DTL(Duplication-Transfer-Loss) reconciliation method
Rearrangement of the book: Functional Analysis Basics.
Functional analysis tasks' solutions implemented in MatLab
Course materials for MATH4010 Functional Analysis.
Solutions to some exercises from Walter Rudin's Functional Analysis
Add a description, image, and links to the functional-analysis topic page so that developers can more easily learn about it.
To associate your repository with the functional-analysis topic, visit your repo's landing page and select "manage topics."